Skip to content

M
mathematica
Switch branch/tag
Find file
Normal viewHistoryPermalink
elastic_lg.nb 466 KB
Newer Older
himyss's avatar
data added
9e7fb0c2
 
himyss committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 2182 2183 2184 2185 2186 2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2197 2198 2199 2200 2201 2202 2203 2204 2205 2206 2207 2208 2209 2210 2211 2212 2213 2214 2215 2216 2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 2310 2311 2312 2313 2314 2315 2316 2317 2318 2319 2320 2321 2322 2323 2324 2325 2326 2327 2328 2329 2330 2331 2332 2333 2334 2335 2336 2337 2338 2339 2340 2341 2342 2343 2344 2345 2346 2347 2348 2349 2350 2351 2352 2353 2354 2355 2356 2357 2358 2359 2360 2361 2362 2363 2364 2365 2366 2367 2368 2369 2370 2371 2372 2373 2374 2375 2376 2377 2378 2379 2380 2381 2382 2383 2384 2385 2386 2387 2388 2389 2390 2391 2392 2393 2394 2395 2396 2397 2398 2399 2400 2401 2402 2403 2404 2405 2406 2407 2408 2409 2410 2411 2412 2413 2414 2415 2416 2417 2418 2419 2420 2421 2422 2423 2424 2425 2426 2427 2428 2429 2430 2431 2432 2433 2434 2435 2436 2437 2438 2439 2440 2441 2442 2443 2444 2445 2446 2447 2448 2449 2450 2451 2452 2453 2454 2455 2456 2457 2458 2459 2460 2461 2462 2463 2464 2465 2466 2467 2468 2469 2470 2471 2472 2473 2474 2475 2476 2477 2478 2479 2480 2481 2482 2483 2484 2485 2486 2487 2488 2489 2490 2491 2492 2493 2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 2509 2510 2511 2512 2513 2514 2515 2516 2517 2518 2519 2520 2521 2522 2523 2524 2525 2526 2527 2528 2529 2530 2531 2532 2533 2534 2535 2536 2537 2538 2539 2540 2541 2542 2543 2544 2545 2546 2547 2548 2549 2550 2551 2552 2553 2554 2555 2556 2557 2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 2569 2570 2571 2572 2573 2574 2575 2576 2577 2578 2579 2580 2581 2582 2583 2584 2585 2586 2587 2588 2589 2590 2591 2592 2593 2594 2595 2596 2597 2598 2599 2600 2601 2602 2603 2604 2605 2606 2607 2608 2609 2610 2611 2612 2613 2614 2615 2616 2617 2618 2619 2620 2621 2622 2623 2624 2625 2626 2627 2628 2629 2630 2631 2632 2633 2634 2635 2636 2637 2638 2639 2640 2641 2642 2643 2644 2645 2646 2647 2648 2649 2650 2651 2652 2653 2654 2655 2656 2657 2658 2659 2660 2661 2662 2663 2664 2665 2666 2667 2668 2669 2670 2671 2672 2673 2674 2675 2676 2677 2678 2679 2680 2681 2682 2683 2684 2685 2686 2687 2688 2689 2690 2691 2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 2744 2745 2746 2747 2748 2749 2750 2751 2752 2753 2754 2755 2756 2757 2758 2759 2760 2761 2762 2763 2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 2787 2788 2789 2790 2791 2792 2793 2794 2795 2796 2797 2798 2799 2800 2801 2802 2803 2804 2805 2806 2807 2808 2809 2810 2811 2812 2813 2814 2815 2816 2817 2818 2819 2820 2821 2822 2823 2824 2825 2826 2827 2828 2829 2830 2831 2832 2833 2834 2835 2836 2837 2838 2839 2840 2841 2842 2843 2844 2845 2846 2847 2848 2849 2850 2851 2852 2853 2854 2855 2856 2857 2858 2859 2860 2861 2862 2863 2864 2865 2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 2878 2879 2880 2881 2882 2883 2884 2885 2886 2887 2888 2889 2890 2891 2892 2893 2894 2895 2896 2897 2898 2899 2900 2901 2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 2964 2965 2966 2967 2968 2969 2970 2971 2972 2973 2974 2975 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 3033 3034 3035 3036 3037 3038 3039 3040 3041 3042 3043 3044 3045 3046 3047 3048 3049 3050 3051 3052 3053 3054 3055 3056 3057 3058 3059 3060 3061 3062 3063 3064 3065 3066 3067 3068 3069 3070 3071 3072 3073 3074 3075 3076 3077 3078 3079 3080 3081 3082 3083 3084 3085 3086 3087 3088 3089 3090 3091 3092 3093 3094 3095 3096 3097 3098 3099 3100 3101 3102 3103 3104 3105 3106 3107 3108 3109 3110 3111 3112 3113 3114 3115 3116 3117 3118 3119 3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 3131 3132 3133 3134 3135 3136 3137 3138 3139 3140 3141 3142 3143 3144 3145 3146 3147 3148 3149 3150 3151 3152 3153 3154 3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 3166 3167 3168 3169 3170 3171 3172 3173 3174 3175 3176 3177 3178 3179 3180 3181 3182 3183 3184 3185 3186 3187 3188 3189 3190 3191 3192 3193 3194 3195 3196 3197 3198 3199 3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 3221 3222 3223 3224 3225 3226 3227 3228 3229 3230 3231 3232 3233 3234 3235 3236 3237 3238 3239 3240 3241 3242 3243 3244 3245 3246 3247 3248 3249 3250 3251 3252 3253 3254 3255 3256 3257 3258 3259 3260 3261 3262 3263 3264 3265 3266 3267 3268 3269 3270 3271 3272 3273 3274 3275 3276 3277 3278 3279 3280 3281 3282 3283 3284 3285 3286 3287 3288 3289 3290 3291 3292 3293 3294 3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3330 3331 3332 3333 3334 3335 3336 3337 3338 3339 3340 3341 3342 3343 3344 3345 3346 3347 3348 3349 3350 3351 3352 3353 3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 3364 3365 3366 3367 3368 3369 3370 3371 3372 3373 3374 3375 3376 3377 3378 3379 3380 3381 3382 3383 3384 3385 3386 3387 3388 3389 3390 3391 3392 3393 3394 3395 3396 3397 3398 3399 3400 3401 3402 3403 3404 3405 3406 3407 3408 3409 3410 3411 3412 3413 3414 3415 3416 3417 3418 3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 3429 3430 3431 3432 3433 3434 3435 3436 3437 3438 3439 3440 3441 3442 3443 3444 3445 3446 3447 3448 3449 3450 3451 3452 3453 3454 3455 3456 3457 3458 3459 3460 3461 3462 3463 3464 3465 3466 3467 3468 3469 3470 3471 3472 3473 3474 3475 3476 3477 3478 3479 3480 3481 3482 3483 3484 3485 3486 3487 3488 3489 3490 3491 3492 3493 3494 3495 3496 3497 3498 3499 3500 3501 3502 3503 3504 3505 3506 3507 3508 3509 3510 3511 3512 3513 3514 3515 3516 3517 3518 3519 3520 3521 3522 3523 3524 3525 3526 3527 3528 3529 3530 3531 3532 3533 3534 3535 3536 3537 3538 3539 3540 3541 3542 3543 3544 3545 3546 3547 3548 3549 3550 3551 3552 3553 3554 3555 3556 3557 3558 3559 3560 3561 3562 3563 3564 3565 3566 3567 3568 3569 3570 3571 3572 3573 3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 3592 3593 3594 3595 3596 3597 3598 3599 3600 3601 3602 3603 3604 3605 3606 3607 3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 3620 3621 3622 3623 3624 3625 3626 3627 3628 3629 3630 3631 3632 3633 3634 3635 3636 3637 3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 3655 3656 3657 3658 3659 3660 3661 3662 3663 3664 3665 3666 3667 3668 3669 3670 3671 3672 3673 3674 3675 3676 3677 3678 3679 3680 3681 3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 3700 3701 3702 3703 3704 3705 3706 3707 3708 3709 3710 3711 3712 3713 3714 3715 3716 3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 3732 3733 3734 3735 3736 3737 3738 3739 3740 3741 3742 3743 3744 3745 3746 3747 3748 3749 3750 3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 3762 3763 3764 3765 3766 3767 3768 3769 3770 3771 3772 3773 3774 3775 3776 3777 3778 3779 3780 3781 3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 3838 3839 3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 3851 3852 3853 3854 3855 3856 3857 3858 3859 3860 3861 3862 3863 3864 3865 3866 3867 3868 3869 3870 3871 3872 3873 3874 3875 3876 3877 3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 3893 3894 3895 3896 3897 3898 3899 3900 3901 3902 3903 3904 3905 3906 3907 3908 3909 3910 3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 3926 3927 3928 3929 3930 3931 3932 3933 3934 3935 3936 3937 3938 3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 3954 3955 3956 3957 3958 3959 3960 3961 3962 3963 3964 3965 3966 3967 3968 3969 3970 3971 3972 3973 3974 3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 4027 4028 4029 4030 4031 4032 4033 4034 4035 4036 4037 4038 4039 4040 4041 4042 4043 4044 4045 4046 4047 4048 4049 4050 4051 4052 4053 4054 4055 4056 4057 4058 4059 4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 4083 4084 4085 4086 4087 4088 4089 4090 4091 4092 4093 4094 4095 4096 4097 4098 4099 4100 4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 4116 4117 4118 4119 4120 4121 4122 4123 4124 4125 4126 4127 4128 4129 4130 4131 4132 4133 4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 4145 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158 4159 4160 4161 4162 4163 4164 4165 4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 4217 4218 4219 4220 4221 4222 4223 4224 4225 4226 4227 4228 4229 4230 4231 4232 4233 4234 4235 4236 4237 4238 4239 4240 4241 4242 4243 4244 4245 4246 4247 4248 4249 4250 4251 4252 4253 4254 4255 4256 4257 4258 4259 4260 4261 4262 4263 4264 4265 4266 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276 4277 4278 4279 4280 4281 4282 4283 4284 4285 4286 4287 4288 4289 4290 4291 4292 4293 4294 4295 4296 4297 4298 4299 4300 4301 4302 4303 4304 4305 4306 4307 4308 4309 4310 4311 4312 4313 4314 4315 4316 4317 4318 4319 4320 4321 4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 4381 4382 4383 4384 4385 4386 4387 4388 4389 4390 4391 4392 4393 4394 4395 4396 4397 4398 4399 4400 4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 4445 4446 4447 4448 4449 4450 4451 4452 4453 4454 4455 4456 4457 4458 4459 4460 4461 4462 4463 4464 4465 4466 4467 4468 4469 4470 4471 4472 4473 4474 4475 4476 4477 4478 4479 4480 4481 4482 4483 4484 4485 4486 4487 4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 4498 4499 4500 4501 4502 4503 4504 4505 4506 4507 4508 4509 4510 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 4580 4581 4582 4583 4584 4585 4586 4587 4588 4589 4590 4591 4592 4593 4594 4595 4596 4597 4598 4599 4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 4644 4645 4646 4647 4648 4649 4650 4651 4652 4653 4654 4655 4656 4657 4658 4659 4660 4661 4662 4663 4664 4665 4666 4667 4668 4669 4670 4671 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685 4686 4687 4688 4689 4690 4691 4692 4693 4694 4695 4696 4697 4698 4699 4700 4701 4702 4703 4704 4705 4706 4707 4708 4709 4710 4711 4712 4713 4714 4715 4716 4717 4718 4719 4720 4721 4722 4723 4724 4725 4726 4727 4728 4729 4730 4731 4732 4733 4734 4735 4736 4737 4738 4739 4740 4741 4742 4743 4744 4745 4746 4747 4748 4749 4750 4751 4752 4753 4754 4755 4756 4757 4758 4759 4760 4761 4762 4763 4764 4765 4766 4767 4768 4769 4770 4771 4772 4773 4774 4775 4776 4777 4778 4779 4780 4781 4782 4783 4784 4785 4786 4787 4788 4789 4790 4791 4792 4793 4794 4795 4796 4797 4798 4799 4800 4801 4802 4803 4804 4805 4806 4807 4808 4809 4810 4811 4812 4813 4814 4815 4816 4817 4818 4819 4820 4821 4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 4836 4837 4838 4839 4840 4841 4842 4843 4844 4845 4846 4847 4848 4849 4850 4851 4852 4853 4854 4855 4856 4857 4858 4859 4860 4861 4862 4863 4864 4865 4866 4867 4868 4869 4870 4871 4872 4873 4874 4875 4876 4877 4878 4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 4896 4897 4898 4899 4900 4901 4902 4903 4904 4905 4906 4907 4908 4909 4910 4911 4912 4913 4914 4915 4916 4917 4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 4930 4931 4932 4933 4934 4935 4936 4937 4938 4939 4940 4941 4942 4943 4944 4945 4946 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 4975 4976 4977 4978 4979 4980 4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 4992 4993 4994 4995 4996 4997 4998 4999 5000 5001 5002 5003 5004 5005 5006 5007 5008 5009 5010 5011 5012 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 5066 5067 5068 5069 5070 5071 5072 5073 5074 5075 5076 5077 5078 5079 5080 5081 5082 5083 5084 5085 5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 5109 5110 5111 5112 5113 5114 5115 5116 5117 5118 5119 5120 5121 5122 5123 5124 5125 5126 5127 5128 5129 5130 5131 5132 5133 5134 5135 5136 5137 5138 5139 5140 5141 5142 5143 5144 5145 5146 5147 5148 5149 5150 5151 5152 5153 5154 5155 5156 5157 5158 5159 5160 5161 5162 5163 5164 5165 5166 5167 5168 5169 5170 5171 5172 5173 5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 5184 5185 5186 5187 5188 5189 5190 5191 5192 5193 5194 5195 5196 5197 5198 5199 5200 5201 5202 5203 5204 5205 5206 5207 5208 5209 5210 5211 5212 5213 5214 5215 5216 5217 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5228 5229 5230 5231 5232 5233 5234 5235 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5247 5248 5249 5250 5251 5252 5253 5254 5255 5256 5257 5258 5259 5260 5261 5262 5263 5264 5265 5266 5267 5268 5269 5270 5271 5272 5273 5274 5275 5276 5277 5278 5279 5280 5281 5282 5283 5284 5285 5286 5287 5288 5289 5290 5291 5292 5293 5294 5295 5296 5297 5298 5299 5300 5301 5302 5303 5304 5305 5306 5307 5308 5309 5310 5311 5312 5313 5314 5315 5316 5317 5318 5319 5320 5321 5322 5323 5324 5325 5326 5327 5328 5329 5330 5331 5332 5333 5334 5335 5336 5337 5338 5339 5340 5341 5342 5343 5344 5345 5346 5347 5348 5349 5350 5351 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5365 5366 5367 5368 5369 5370 5371 5372 5373 5374 5375 5376 5377 5378 5379 5380 5381 5382 5383 5384 5385 5386 5387 5388 5389 5390 5391 5392 5393 5394 5395 5396 5397 5398 5399 5400 5401 5402 5403 5404 5405 5406 5407 5408 5409 5410 5411 5412 5413 5414 5415 5416 5417 5418 5419 5420 5421 5422 5423 5424 5425 5426 5427 5428 5429 5430 5431 5432 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443 5444 5445 5446 5447 5448 5449 5450 5451 5452 5453 5454 5455 5456 5457 5458 5459 5460 5461 5462 5463 5464 5465 5466 5467 5468 5469 5470 5471 5472 5473 5474 5475 5476 5477 5478 5479 5480 5481 5482 5483 5484 5485 5486 5487 5488 5489 5490 5491 5492 5493 5494 5495 5496 5497 5498 5499 5500 5501 5502 5503 5504 5505 5506 5507 5508 5509 5510 5511 5512 5513 5514 5515 5516 5517 5518 5519 5520 5521 5522 5523 5524 5525 5526 5527 5528 5529 5530 5531 5532 5533 5534 5535 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545 5546 5547 5548 5549 5550 5551 5552 5553 5554 5555 5556 5557 5558 5559 5560 5561 5562 5563 5564 5565 5566 5567 5568 5569 5570 5571 5572 5573 5574 5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595 5596 5597 5598 5599 5600 5601 5602 5603 5604 5605 5606 5607 5608 5609 5610 5611 5612 5613 5614 5615 5616 5617 5618 5619 5620 5621 5622 5623 5624 5625 5626 5627 5628 5629 5630 5631 5632 5633 5634 5635 5636 5637 5638 5639 5640 5641 5642 5643 5644 5645 5646 5647 5648 5649 5650 5651 5652 5653 5654 5655 5656 5657 5658 5659 5660 5661 5662 5663 5664 5665 5666 5667 5668 5669 5670 5671 5672 5673 5674 5675 5676 5677 5678 5679 5680 5681 5682 5683 5684 5685 5686 5687 5688 5689 5690 5691 5692 5693 5694 5695 5696 5697 5698 5699 5700 5701 5702 5703 5704 5705 5706 5707 5708 5709 5710 5711 5712 5713 5714 5715 5716 5717 5718 5719 5720 5721 5722 5723 5724 5725 5726 5727 5728 5729 5730 5731 5732 5733 5734 5735 5736 5737 5738 5739 5740 5741 5742 5743 5744 5745 5746 5747 5748 5749 5750 5751 5752 5753 5754 5755 5756 5757 5758 5759 5760 5761 5762 5763 5764 5765 5766 5767 5768 5769 5770 5771 5772 5773 5774 5775 5776 5777 5778 5779 5780 5781 5782 5783 5784 5785 5786 5787 5788 5789 5790 5791 5792 5793 5794 5795 5796 5797 5798 5799 5800 5801 5802 5803 5804 5805 5806 5807 5808 5809 5810 5811 5812 5813 5814 5815 5816 5817 5818 5819 5820 5821 5822 5823 5824 5825 5826 5827 5828 5829 5830 5831 5832 5833 5834 5835 5836 5837 5838 5839 5840 5841 5842 5843 5844 5845 5846 5847 5848 5849 5850 5851 5852 5853 5854 5855 5856 5857 5858 5859 5860 5861 5862 5863 5864 5865 5866 5867 5868 5869 5870 5871 5872 5873 5874 5875 5876 5877 5878 5879 5880 5881 5882 5883 5884 5885 5886 5887 5888 5889 5890 5891 5892 5893 5894 5895 5896 5897 5898 5899 5900 5901 5902 5903 5904 5905 5906 5907 5908 5909 5910 5911 5912 5913 5914 5915 5916 5917 5918 5919 5920 5921 5922 5923 5924 5925 5926 5927 5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950 5951 5952 5953 5954 5955 5956 5957 5958 5959 5960 5961 5962 5963 5964 5965 5966 5967 5968 5969 5970 5971 5972 5973 5974 5975 5976 5977 5978 5979 5980 5981 5982 5983 5984 5985 5986 5987 5988 5989 5990 5991 5992 5993 5994 5995 5996 5997 5998 5999 6000 6001 6002 6003 6004 6005 6006 6007 6008 6009 6010 6011 6012 6013 6014 6015 6016 6017 6018 6019 6020 6021 6022 6023 6024 6025 6026 6027 6028 6029 6030 6031 6032 6033 6034 6035 6036 6037 6038 6039 6040 6041 6042 6043 6044 6045 6046 6047 6048 6049 6050 6051 6052 6053 6054 6055 6056 6057 6058 6059 6060 6061 6062 6063 6064 6065 6066 6067 6068 6069 6070 6071 6072 6073 6074 6075 6076 6077 6078 6079 6080 6081 6082 6083 6084 6085 6086 6087 6088 6089 6090 6091 6092 6093 6094 6095 6096 6097 6098 6099 6100 6101 6102 6103 6104 6105 6106 6107 6108 6109 6110 6111 6112 6113 6114 6115 6116 6117 6118 6119 6120 6121 6122 6123 6124 6125 6126 6127 6128 6129 6130 6131 6132 6133 6134 6135 6136 6137 6138 6139 6140 6141 6142 6143 6144 6145 6146 6147 6148 6149 6150 6151 6152 6153 6154 6155 6156 6157 6158 6159 6160 6161 6162 6163 6164 6165 6166 6167 6168 6169 6170 6171 6172 6173 6174 6175 6176 6177 6178 6179 6180 6181 6182 6183 6184 6185 6186 6187 6188 6189 6190 6191 6192 6193 6194 6195 6196 6197 6198 6199 6200 6201 6202 6203 6204 6205 6206 6207 6208 6209 6210 6211 6212 6213 6214 6215 6216 6217 6218 6219 6220 6221 6222 6223 6224 6225 6226 6227 6228 6229 6230 6231 6232 6233 6234 6235 6236 6237 6238 6239 6240 6241 6242 6243 6244 6245 6246 6247 6248 6249 6250 6251 6252 6253 6254 6255 6256 6257 6258 6259 6260 6261 6262 6263 6264 6265 6266 6267 6268 6269 6270 6271 6272 6273 6274 6275 6276 6277 6278 6279 6280 6281 6282 6283 6284 6285 6286 6287 6288 6289 6290 6291 6292 6293 6294 6295 6296 6297 6298 6299 6300 6301 6302 6303 6304 6305 6306 6307 6308 6309 6310 6311 6312 6313 6314 6315 6316 6317 6318 6319 6320 6321 6322 6323 6324 6325 6326 6327 6328 6329 6330 6331 6332 6333 6334 6335 6336 6337 6338 6339 6340 6341 6342 6343 6344 6345 6346 6347 6348 6349 6350 6351 6352 6353 6354 6355 6356 6357 6358 6359 6360 6361 6362 6363 6364 6365 6366 6367 6368 6369 6370 6371 6372 6373 6374 6375 6376 6377 6378 6379 6380 6381 6382 6383 6384 6385 6386 6387 6388 6389 6390 6391 6392 6393 6394 6395 6396 6397 6398 6399 6400 6401 6402 6403 6404 6405 6406 6407 6408 6409 6410 6411 6412 6413 6414 6415 6416 6417 6418 6419 6420 6421 6422 6423 6424 6425 6426 6427 6428 6429 6430 6431 6432 6433 6434 6435 6436 6437 6438 6439 6440 6441 6442 6443 6444 6445 6446 6447 6448 6449 6450 6451 6452 6453 6454 6455 6456 6457 6458 6459 6460 6461 6462 6463 6464 6465 6466 6467 6468 6469 6470 6471 6472 6473 6474 6475 6476 6477 6478 6479 6480 6481 6482 6483 6484 6485 6486 6487 6488 6489 6490 6491 6492 6493 6494 6495 6496 6497 6498 6499 6500 6501 6502 6503 6504 6505 6506 6507 6508 6509 6510 6511 6512 6513 6514 6515 6516 6517 6518 6519 6520 6521 6522 6523 6524 6525 6526 6527 6528 6529 6530 6531 6532 6533 6534 6535 6536 6537 6538 6539 6540 6541 6542 6543 6544 6545 6546 6547 6548 6549 6550 6551 6552 6553 6554 6555 6556 6557 6558 6559 6560 6561 6562 6563 6564 6565 6566 6567 6568 6569 6570 6571 6572 6573 6574 6575 6576 6577 6578 6579 6580 6581 6582 6583 6584 6585 6586 6587 6588 6589 6590 6591 6592 6593 6594 6595 6596 6597 6598 6599 6600 6601 6602 6603 6604 6605 6606 6607 6608 6609 6610 6611 6612 6613 6614 6615 6616 6617 6618 6619 6620 6621 6622 6623 6624 6625 6626 6627 6628 6629 6630 6631 6632 6633 6634 6635 6636 6637 6638 6639 6640 6641 6642 6643 6644 6645 6646 6647 6648 6649 6650 6651 6652 6653 6654 6655 6656 6657 6658 6659 6660 6661 6662 6663 6664 6665 6666 6667 6668 6669 6670 6671 6672 6673 6674 6675 6676 6677 6678 6679 6680 6681 6682 6683 6684 6685 6686 6687 6688 6689 6690 6691 6692 6693 6694 6695 6696 6697 6698 6699 6700 6701 6702 6703 6704 6705 6706 6707 6708 6709 6710 6711 6712 6713 6714 6715 6716 6717 6718 6719 6720 6721 6722 6723 6724 6725 6726 6727 6728 6729 6730 6731 6732 6733 6734 6735 6736 6737 6738 6739 6740 6741 6742 6743 6744 6745 6746 6747 6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 6762 6763 6764 6765 6766 6767 6768 6769 6770 6771 6772 6773 6774 6775 6776 6777 6778 6779 6780 6781 6782 6783 6784 6785 6786 6787 6788 6789 6790 6791 6792 6793 6794 6795 6796 6797 6798 6799 6800 6801 6802 6803 6804 6805 6806 6807 6808 6809 6810 6811 6812 6813 6814 6815 6816 6817 6818 6819 6820 6821 6822 6823 6824 6825 6826 6827 6828 6829 6830 6831 6832 6833 6834 6835 6836 6837 6838 6839 6840 6841 6842 6843 6844 6845 6846 6847 6848 6849 6850 6851 6852 6853 6854 6855 6856 6857 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 6868 6869 6870 6871 6872 6873 6874 6875 6876 6877 6878 6879 6880 6881 6882 6883 6884 6885 6886 6887 6888 6889 6890 6891 6892 6893 6894 6895 6896 6897 6898 6899 6900 6901 6902 6903 6904 6905 6906 6907 6908 6909 6910 6911 6912 6913 6914 6915 6916 6917 6918 6919 6920 6921 6922 6923 6924 6925 6926 6927 6928 6929 6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 6941 6942 6943 6944 6945 6946 6947 6948 6949 6950 6951 6952 6953 6954 6955 6956 6957 6958 6959 6960 6961 6962 6963 6964 6965 6966 6967 6968 6969 6970 6971 6972 6973 6974 6975 6976 6977 6978 6979 6980 6981 6982 6983 6984 6985 6986 6987 6988 6989 6990 6991 6992 6993 6994 6995 6996 6997 6998 6999 7000 7001 7002 7003 7004 7005 7006 7007 7008 7009 7010 7011 7012 7013 7014 7015 7016 7017 7018 7019 7020 7021 7022 7023 7024 7025 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 7036 7037 7038 7039 7040 7041 7042 7043 7044 7045 7046 7047 7048 7049 7050 7051 7052 7053 7054 7055 7056 7057 7058 7059 7060 7061 7062 7063 7064 7065 7066 7067 7068 7069 7070 7071 7072 7073 7074 7075 7076 7077 7078 7079 7080 7081 7082 7083 7084 7085 7086 7087 7088 7089 7090 7091 7092 7093 7094 7095 7096 7097 7098 7099 7100 7101 7102 7103 7104 7105 7106 7107 7108 7109 7110 7111 7112 7113 7114 7115 7116 7117 7118 7119 7120 7121 7122 7123 7124 7125 7126 7127 7128 7129 7130 7131 7132 7133 7134 7135 7136 7137 7138 7139 7140 7141 7142 7143 7144 7145 7146 7147 7148 7149 7150 7151 7152 7153 7154 7155 7156 7157 7158 7159 7160 7161 7162 7163 7164 7165 7166 7167 7168 7169 7170 7171 7172 7173 7174 7175 7176 7177 7178 7179 7180 7181 7182 7183 7184 7185 7186 7187 7188 7189 7190 7191 7192 7193 7194 7195 7196 7197 7198 7199 7200 7201 7202 7203 7204 7205 7206 7207 7208 7209 7210 7211 7212 7213 7214 7215 7216 7217 7218 7219 7220 7221 7222 7223 7224 7225 7226 7227 7228 7229 7230 7231 7232 7233 7234 7235 7236 7237 7238 7239 7240 7241 7242 7243 7244 7245 7246 7247 7248 7249 7250 7251 7252 7253 7254 7255 7256 7257 7258 7259 7260 7261 7262 7263 7264 7265 7266 7267 7268 7269 7270 7271 7272 7273 7274 7275 7276 7277 7278 7279 7280 7281 7282 7283 7284 7285 7286 7287 7288 7289 7290 7291 7292 7293 7294 7295 7296 7297 7298 7299 7300 7301 7302 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7315 7316 7317 7318 7319 7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 7331 7332 7333 7334 7335 7336 7337 7338 7339 7340 7341 7342 7343 7344 7345 7346 7347 7348 7349 7350 7351 7352 7353 7354 7355 7356 7357 7358 7359 7360 7361 7362 7363 7364 7365 7366 7367 7368 7369 7370 7371 7372 7373 7374 7375 7376 7377 7378 7379 7380 7381 7382 7383 7384 7385 7386 7387 7388 7389 7390 7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401 7402 7403 7404 7405 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415 7416 7417 7418 7419 7420 7421 7422 7423 7424 7425 7426 7427 7428 7429 7430 7431 7432 7433 7434 7435 7436 7437 7438 7439 7440 7441 7442 7443 7444 7445 7446 7447 7448 7449 7450 7451 7452 7453 7454 7455 7456 7457 7458 7459 7460 7461 7462 7463 7464 7465 7466 7467 7468 7469 7470 7471 7472 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 7483 7484 7485 7486 7487 7488 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 7499 7500 7501 7502 7503 7504 7505 7506 7507 7508 7509 7510 7511 7512 7513 7514 7515 7516 7517 7518 7519 7520 7521 7522 7523 7524 7525 7526 7527 7528 7529 7530 7531 7532 7533 7534 7535 7536 7537 7538 7539 7540 7541 7542 7543 7544 7545 7546 7547 7548 7549 7550 7551 7552 7553 7554 7555 7556 7557 7558 7559 7560 7561 7562 7563 7564 7565 7566 7567 7568 7569 7570 7571 7572 7573 7574 7575 7576 7577 7578 7579 7580 7581 7582 7583 7584 7585 7586 7587 7588 7589 7590 7591 7592 7593 7594 7595 7596 7597 7598 7599 7600 7601 7602 7603 7604 7605 7606 7607 7608 7609 7610 7611 7612 7613 7614 7615 7616 7617 7618 7619 7620 7621 7622 7623 7624 7625 7626 7627 7628 7629 7630 7631 7632 7633 7634 7635 7636 7637 7638 7639 7640 7641 7642 7643 7644 7645 7646 7647 7648 7649 7650 7651 7652 7653 7654 7655 7656 7657 7658 7659 7660 7661 7662 7663 7664 7665 7666 7667 7668 7669 7670 7671 7672 7673 7674 7675 7676 7677 7678 7679 7680 7681 7682 7683 7684 7685 7686 7687 7688 7689 7690 7691 7692 7693 7694 7695 7696 7697 7698 7699 7700 7701 7702 7703 7704 7705 7706 7707 7708 7709 7710 7711 7712 7713 7714 7715 7716 7717 7718 7719 7720 7721 7722 7723 7724 7725 7726 7727 7728 7729 7730 7731 7732 7733 7734 7735 7736 7737 7738 7739 7740 7741 7742 7743 7744 7745 7746 7747 7748 7749 7750 7751 7752 7753 7754 7755 7756 7757 7758 7759 7760 7761 7762 7763 7764 7765 7766 7767 7768 7769 7770 7771 7772 7773 7774 7775 7776 7777 7778 7779 7780 7781 7782 7783 7784 7785 7786 7787 7788 7789 7790 7791 7792 7793 7794 7795 7796 7797 7798 7799 7800 7801 7802 7803 7804 7805 7806 7807 7808 7809 7810 7811 7812 7813 7814 7815 7816 7817 7818 7819 7820 7821 7822 7823 7824 7825 7826 7827 7828 7829 7830 7831 7832 7833 7834 7835 7836 7837 7838 7839 7840 7841 7842 7843 7844 7845 7846 7847 7848 7849 7850 7851 7852 7853 7854 7855 7856 7857 7858 7859 7860 7861 7862 7863 7864 7865 7866 7867 7868 7869 7870 7871 7872 7873 7874 7875 7876 7877 7878 7879 7880 7881 7882 7883 7884 7885 7886 7887 7888 7889 7890 7891 7892 7893 7894 7895 7896 7897 7898 7899 7900 7901 7902 7903 7904 7905 7906 7907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 7918 7919 7920 7921 7922 7923 7924 7925 7926 7927 7928 7929 7930 7931 7932 7933 7934 7935 7936 7937 7938 7939 7940 7941 7942 7943 7944 7945 7946 7947 7948 7949 7950 7951 7952 7953 7954 7955 7956 7957 7958 7959 7960 7961 7962 7963 7964 7965 7966 7967 7968 7969 7970 7971 7972 7973 7974 7975 7976 7977 7978 7979 7980 7981 7982 7983 7984 7985 7986 7987 7988 7989 7990 7991 7992 7993 7994 7995 7996 7997 7998 7999 8000 8001 8002 8003 8004 8005 8006 8007 8008 8009 8010 8011 8012 8013 8014 8015 8016 8017 8018 8019 8020 8021 8022 8023 8024 8025 8026 8027 8028 8029 8030 8031 8032 8033 8034 8035 8036 8037 8038 8039 8040 8041 8042 8043 8044 8045 8046 8047 8048 8049 8050 8051 8052 8053 8054 8055 8056 8057 8058 8059 8060 8061 8062 8063 8064 8065 8066 8067 8068 8069 8070 8071 8072 8073 8074 8075 8076 8077 8078 8079 8080 8081 8082 8083 8084 8085 8086 8087 8088 8089 8090 8091 8092 8093 8094 8095 8096 8097 8098 8099 8100 8101 8102 8103 8104 8105 8106 8107 8108 8109 8110 8111 8112 8113 8114 8115 8116 8117 8118 8119 8120 8121 8122 8123 8124 8125 8126 8127 8128 8129 8130 8131 8132 8133 8134 8135 8136 8137 8138 8139 8140 8141 8142 8143 8144 8145 8146 8147 8148 8149 8150 8151 8152 8153 8154 8155 8156 8157 8158 8159 8160 8161 8162 8163 8164 8165 8166 8167 8168 8169 8170 8171 8172 8173 8174 8175 8176 8177 8178 8179 8180 8181 8182 8183 8184 8185 8186 8187 8188 8189 8190 8191 8192 8193 8194 8195 8196 8197 8198 8199 8200 8201 8202 8203 8204 8205 8206 8207 8208 8209 8210 8211 8212 8213 8214 8215 8216 8217 8218 8219 8220 8221 8222 8223 8224 8225 8226 8227 8228 8229 8230 8231 8232 8233 8234 8235 8236 8237 8238 8239 8240 8241 8242 8243 8244 8245 8246 8247 8248 8249 8250 8251 8252 8253 8254 8255 8256 8257 8258 8259 8260 8261 8262 8263 8264 8265 8266 8267 8268 8269 8270 8271 8272 8273 8274 8275 8276 8277 8278 8279 8280 8281 8282 8283 8284 8285 8286 8287 8288 8289 8290 8291 8292 8293 8294 8295 8296 8297 8298 8299 8300 8301 8302 8303 8304 8305 8306 8307 8308 8309 8310 8311 8312 8313 8314 8315 8316 8317 8318 8319 8320 8321 8322 8323 8324 8325 8326 8327 8328 8329 8330 8331 8332 8333 8334 8335 8336 8337 8338 8339 8340 8341 8342 8343 8344 8345 8346 8347 8348 8349 8350 8351 8352 8353 8354 8355 8356 8357 8358 8359 8360 8361 8362 8363 8364 8365 8366 8367 8368 8369 8370 8371 8372 8373 8374 8375 8376 8377 8378 8379 8380 8381 8382 8383 8384 8385 8386 8387 8388 8389 8390 8391 8392 8393 8394 8395 8396 8397 8398 8399 8400 8401 8402 8403 8404 8405 8406 8407 8408 8409 8410 8411 8412 8413 8414 8415 8416 8417 8418 8419 8420 8421 8422 8423 8424 8425 8426 8427 8428 8429 8430 8431 8432 8433 8434 8435 8436 8437 8438 8439 8440 8441 8442 8443 8444 8445 8446 8447 8448 8449 8450 8451 8452 8453 8454 8455 8456 8457 8458 8459 8460 8461 8462 8463 8464 8465 8466 8467 8468 8469 8470 8471 8472 8473 8474 8475 8476 8477 8478 8479 8480 8481 8482 8483 8484 8485 8486 8487 8488 8489 8490 8491 8492 8493 8494 8495 8496 8497 8498 8499 8500 8501 8502 8503 8504 8505 8506 8507 8508 8509 8510 8511 8512 8513 8514 8515 8516 8517 8518 8519 8520 8521 8522 8523 8524 8525 8526 8527 8528 8529 8530 8531 8532 8533 8534 8535 8536 8537 8538 8539 8540 8541 8542 8543 8544 8545 8546 8547 8548 8549 8550 8551 8552 8553 8554 8555 8556 8557 8558 8559 8560 8561 8562 8563 8564 8565 8566 8567 8568 8569 
(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 13.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    476994,       8561]
NotebookOptionsPosition[    472137,       8480]
NotebookOutlinePosition[    472565,       8497]
CellTagsIndexPosition[    472522,       8494]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell[BoxData[
 RowBox[{"sps", "=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"Dashing", "[", "None", "]"}], ",", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}], ",", " ", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"Dashing", "[", "Large", "]"}], ",", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"1", ",", "0", ",", "0"}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"Dashing", "[", "Medium", "]"}], ",", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "0", ",", "1"}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"Dashing", "[", "Small", "]"}], ",", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "1", ",", "0"}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"Dashing", "[", "Tiny", "]"}], ",", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "1", ",", "1"}], "]"}]}], "}"}]}], "}"}]}]], "Input",\

 CellLabel->"In[5]:=",ExpressionUUID->"ba7d4b78-672c-458a-81ef-4afd07c02df7"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"Dashing", "[", "None", "]"}], ",", 
     TemplateBox[<|"color" -> RGBColor[0, 0, 0]|>,
      "RGBColorSwatchTemplate"]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"Dashing", "[", "Large", "]"}], ",", 
     TemplateBox[<|"color" -> RGBColor[1, 0, 0]|>,
      "RGBColorSwatchTemplate"]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"Dashing", "[", "Medium", "]"}], ",", 
     TemplateBox[<|"color" -> RGBColor[0, 0, 1]|>,
      "RGBColorSwatchTemplate"]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"Dashing", "[", "Small", "]"}], ",", 
     TemplateBox[<|"color" -> RGBColor[0, 1, 0]|>,
      "RGBColorSwatchTemplate"]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"Dashing", "[", "Tiny", "]"}], ",", 
     TemplateBox[<|"color" -> RGBColor[0, 1, 1]|>,
      "RGBColorSwatchTemplate"]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.853487164235237*^9, {3.8534922550652323`*^9, 3.853492255141088*^9}, 
   3.858852808034292*^9},
 CellLabel->"Out[5]=",ExpressionUUID->"27aca7d3-6967-4af6-b7a6-cce9ddd23131"]
}, Open  ]],

Cell["INPUTS", "Text",
 CellChangeTimes->{
  3.8534863261914244`*^9},ExpressionUUID->"ff0261e9-e7f2-47d7-be51-\
681add6cc7f6"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"mass", " ", "=", " ", "939"}], ",", "\[IndentingNewLine]", 
   RowBox[{"radius", " ", "=", " ", "3."}]}], "}"}]], "Input",
 CellChangeTimes->{{3.8534863663263545`*^9, 3.85348638187929*^9}, {
  3.8534951529179296`*^9, 3.853495211825151*^9}, {3.853495296823846*^9, 
  3.853495311207975*^9}, {3.853496136587387*^9, 3.853496138398828*^9}, {
  3.853496194268097*^9, 3.85349619713694*^9}},
 CellLabel->"In[6]:=",ExpressionUUID->"8b706344-7d6f-4824-a756-32583bee7675"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"939", ",", "3.`"}], "}"}]], "Output",
 CellChangeTimes->{{3.853495189134169*^9, 3.853495213732986*^9}, 
   3.853495316238769*^9, 3.853496140937274*^9, 3.853496202939743*^9, 
   3.858852809998757*^9},
 CellLabel->"Out[6]=",ExpressionUUID->"c5c35dc6-6455-4c06-8d6b-4ccc168b8f61"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"momenta", "[", "energy_", "]"}], ":=", " ", 
  FractionBox[
   SqrtBox[
    RowBox[{" ", 
     RowBox[{
      RowBox[{"energy", "*", "energy"}], " ", "+", " ", 
      RowBox[{"2", "*", "mass", "*", "energy"}]}]}]], "197.327"]}]], "Input",
 CellChangeTimes->{{3.853486447636016*^9, 3.853486456260361*^9}},
 CellLabel->"In[7]:=",ExpressionUUID->"7c41ea64-0275-46af-a1be-64f6a62fe1e6"],

Cell[BoxData[
 RowBox[{
  RowBox[{"phase", "[", 
   RowBox[{"angMomenta_", ",", "energy_"}], "]"}], " ", ":=", " ", 
  RowBox[{"ArcTan", "[", 
   FractionBox[
    RowBox[{"SphericalBesselJ", "[", 
     RowBox[{"angMomenta", ",", 
      RowBox[{
       RowBox[{"momenta", "[", "energy", "]"}], "*", "radius"}]}], "]"}], 
    RowBox[{"SphericalBesselY", "[", 
     RowBox[{"angMomenta", ",", 
      RowBox[{
       RowBox[{"momenta", "[", "energy", "]"}], "*", "radius"}]}], "]"}]], 
   "]"}], " "}]], "Input",
 CellLabel->"In[8]:=",ExpressionUUID->"2b3e773f-5694-4ac2-8548-b85c2006e275"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"phase", "[", 
      RowBox[{"0", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"1", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"2", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"3", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"4", ",", "k"}], "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"k", ",", "0", ",", "0.5"}], "}"}], ",", 
   RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.8534866396384068`*^9, 3.853486677191375*^9}, {
  3.8534871698947124`*^9, 3.85348717616479*^9}, {3.8534878605355625`*^9, 
  3.8534878630333276`*^9}, {3.853491500616036*^9, 3.853491536996521*^9}},
 CellLabel->"In[9]:=",ExpressionUUID->"36acf79c-f85b-4ba8-b611-02ce834d0895"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwVxXk41AkfAHBXNaWEPey45qFhi0IUqa2v4o1cu+4VSe4kEpFKjhAl1wrL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       "]]},
     Annotation[#, "Charting`Private`Tag$15834#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwVxXk81IkbAOAhlVa0tLtFJHKH7LhDb9to3bZxFTESSuRMopLIiNz3NYZx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       "]]},
     Annotation[#, "Charting`Private`Tag$15834#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwVlPc/1f0fh61KEhKyV4dSVslIjlclW8OMwm1F5qFst5mRzOzKysw81iHj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       "]]},
     Annotation[#, "Charting`Private`Tag$15834#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwVlXc4FXwfh40KKSIVMhOlkLIifM1sPfY+ZsooRKUoIyuOhyIre49Edpzf
j05WITMzjr0SKtLC+7x/fa77uu6/7w+/g4fhVRoqKqqT1FRU/1/tq4u9TUvq
ioUu4lI/Dkm83qPK6UnhOAlopR1nicuTJDKSUis5JOF4a0Cu5qo3SadrqCKN
Qw1mG4/qnDr3gnSSyJ23y6sFgW7en4ktmPRX2zHRXkgfYqqTQ8t5u0jLIQPN
9gkGkF9298H0r2GSmdMWesphDM+se0vCv8yQmlU5a9+mmoKtF/MDGfZVkriA
QvkGrwW4x/zaGHuzSUqlsSsSzLGCFsoP+Uu2OyT66eBsUyECZL24q0hM3IPq
J/u63hrbQaSpqvcCMCLPf5y0rRPsgXHFcf1tIQsSatps3RhyABxOd87T7yga
PxeuGs3hBO1yK/e3RLlQfAZ7k6DVVdhgaBuLcuNH2szF8jjVGYpH6tsENAQR
VcCl16YT1yBw6onPcLUwqlntlFrjdQEDhSPLR5rFkDuBUBFu7wo0fYl39eEC
OvFhTYwvxw1Sfv32VLonhYYVgkrqZt3h5FTP2NOjsujfUtbTBkI3IaD8KzMv
jwJS587NXbrmAUZ5S163OpTQw9aUQ2+MPeHchZ0ve9RUkcXDGf3oTU9YWI+W
cP+rjiSlRaItErzg4VjzU9ufmoh51adDUOYWCC/EcBde0kXLeYjh29AtcNir
aML3/grKPHIlLJLDB4bEbiWcWzFCfl2Jzab1PmDOE1F4TNwUmYZO0ghY3QYT
K+eezCxzdF5BWHntz23oSMppmlKxQgc2vQIaUu+ARunY4V9HCGjhRT0KV7gL
D0+XJYb9a4fITrR/jSbuQogI8bCQqAPyHYj3XeG9B/xRZfZsTVeREXG8pq7p
HqzpdO/NrbmGxNSENkPs70O0n0nO+04XNFtZ68Wd4wdP5McMw6xvokY3qvIl
VX9oyPAMlHf3RCkCWqvVs/4QpJ09RyB5IYO4UVd9oYcQcVzFL+aZDxLRESji
bHsIVedfSI3y3kH0tO4L89cCINmMhqEN30W2r3deNRoHgm04UZVVwQ/pHhHo
FcwLBLI6sq7nfoDkvDTWozYDYe9Y4XLikQB0RDhWzDwhCA7/UhDozA9CNKFV
eng+CL5cQtURbcFofXLY/aRMMDReZjSV3nyEOpL4S9aHguEfVrOQt75hKIi+
8tRjjhDonpicdD5DRGc0nkRUeIbAZybDhdWJaNQX6rE01hYC205Gp/fmx6CT
tCIlYndCQUnvc/+nmieoU3n/AfOuUOA06HmQW/sU3Q5cdA86GQZ/aJTMc8lx
qHU7V2ygLwzUyGVbKj+fIQ/5RzHbwuHAVRtzlCCQiNj97NeFgsLhduP0sWKL
JOTyk7vi3rkI0Mg/Fdu3mIIOfE+Q4iU+hjD+iw0yupmo+vztBM2Zx/CPUZXq
AdYsRPA02vKSi4QP9E1L/hNZqOwL8+vmxUjgbNlNrovKQeYiqxyrEAXyK/qS
be65iMqt8/6xxCjgFH7B+Ms4DxkuRsi7qhOB23dl+cqlAvRH6FpaXCoRimas
petlC1HuVfUd0nci8KbrqPdBEdqcpm5izo6GzX7mgCTHEpQ0fl+1eudfsBjm
0Hm1rxwpc1nkTpjEQCXblk1MfjlatpTZS18aA8pZge/6tV8hnpV7jqWisZDU
l6Q3klmBPFykBak+xQKN++xvSkg1ao7I+xhP9wQs7o+x/NKqQeyFbGHCEk9A
s9LuChNbLWqa/zZvGPkEtg8PbN2rrUOsTmWFeRefgpyelYmPAgk5P+KxkHN6
CjXqy7pEEYQasqMZumOewp5kdV15foycptxcf84/hXCVeobRg02omnBaROdZ
HJiaRn1MOUtG5hZZZetf42Hj82T4+e1WtDZmvD+b8xnIaUUWfE1pQ2EE+qtG
qs8gdy11svxSO6p09OCsiX8GPNZ7jK+EvUNMNxVC/WQS4BjP2A6VcifKW1+n
iNglgFl56c2XW51I3jtXbiIiAYQeh0tnvepCrr6M60qjCWBt4Bp+/1w3agke
sdz3IBHWvu/Z+SPci6z3RlfX5iXCJN/C5NzTXvQtXOmQy4dEsD7BFZuw3Yv4
ogtaOniTwNLJ+iVhuA/5J94Wf0JOAsdIQ2DMHUAXXrDs46JPgZi+z+sricPo
nViLXZd4CkgExUre4h1Bdq98Gx5apIDc8Gc3hqIRFF1D8ZwqToEP94E2iDyK
FptKx/L1nkNJYn0TF/M4Sv+o9ep8XCrQlQQuFDJMISnzbcaZhlTQyjt2j892
CnWOljvHz6aCzeDtW+3VU+gX5RjXllQaxFIX11Q6TyPj5bkw0nAaeCULpSsO
zSDG3SBrDZ4MSJdmv+60OY+SXMwIIpcz4HlzLOuu9QI6OSBix3IzA2YP8YzP
tSwgxaIhxzGUAZpejI1ZzxfR66KE6lqxTHDvOB/KbraMvhitkHQ+ZEJeoUam
1KFVJMkwpKA4nQmyksoyjdGr6D5+g8V/ZEKILZUROrCG6IQTm47wZMGTA8TK
WLp1xL+j3Ey5kQXXxdNJi6xfkUlhYof3wWxYfMCwRtT/jlJtgnWd+bPh2McL
VE+Tv6Np1htd5lLZoNXIedl57jvyeKDSrWCTDfUv9FuDAjbQY8MvfXSl2TBx
vuh4MdpE6K/K6HPdHHhcJx696vATCRqsLr6NyoVBnw0BiuUO4gzQkLuWlQvW
oOOt1LGDDpVmRu2vzYU8ftrId/K76De9kZjBdC5IN8+fKmWhwj1Ntd4TF/NA
7YRcpvEuFb4vHrTzcy4PHpcfXO3YosEehNErqX/ygGfhXkGhLC12IkpkAUs+
UIITd0750+Iri3OqYfL5cMXSUY2Vdg8+man9+HBcPkhbjfuXse/FH5jZ2MSU
CqCxW/3fSUc6/FbhxtVekwI4P/fZwbycDte5tdb4uBVAy15m2uBtOpzT5mvR
kFAA08X1gavJ9Ng3YDxd80sBMKelhWmMMeATa/nCjimFcI3wpqc/8AC++0EW
kjaKoN4Oq/CcY8FMYtVz7+iLwVc5xJeRwIJzo8WJf7iKwUtma9womgX36p4a
IagXg2g5A2VrhQWf7WDzFkwohqCwAuOkclZMaVvLr5Apgf0VRc5JWmxY400e
U9f9F6DwJ5I2ouUYnuDj/y9XL0BqOpGlhIod+wSmWonnvIDVjap+aXl2nAVx
hXEdL2B7ekAssood/0GBKpZcpfBGfMtRpJgDl9Vb3VlApXDx+nO7pqLj+FgV
ywQ1dRk8VeM6dGmbF1sT/xjPHi2D3bqJyotCfDjbaa6jVaQM+HW0Sjj0+bDI
kdevo8zL4LxnwomX6XxY5Y7dsyPlZZDfLKUkrMqPpVPN8uPPlUPS7utvhckn
sD0h36Zwohxo7fQFRh4K4hDt48nJS+Ugo/xpEJUJ4nzp2IHIjXKYEUqo+Dop
iFeY7uvc2P8KgjVD2DTVhPCdRj3ZC9KvgNnm8lwt0ylM5NtkI0W/gv0N1XwL
FadxzbRqZ7d8Bbx5G82UKyeCBzWDvkZrVIDlXzL64iOCf7zER3UNKyDe8yxn
dJkIlvGTtW+/VgGrJQp0HwRFcd3hcz+anlbAemrxmt1RMfxajZOvYrECrDgH
4vftEcek/HXv+PhKkHx0hvj+2AX86YBYsmFGJewZp+2Jk7uA/95yw4eKK6HA
SfEV0eYCVoB5+ujGSki/67ZwMPcCxkNjaaHLlVCtv3nVUEICN9K3td1RqoIS
uaWFvVaSmOyadtxipQom+vt/nOmRxpVLbm6EH1Vgohxt6vlDGudel2twpKoG
P6k3N2a4ZHCo85DlTbZq+PlxU83IVQZrOrCkPJKvBstB8mkbuou42yKU/SWx
Gjbj6DyltWXxJ80bR2hFa0CC+tvA3PdLuKvt0lV6mRp4V3t6kJ9PHuPL+6sP
KtfAXo7NshhdeZyhVmDMblIDSzO23tT58thBaSpO9EEN8IUQ55SsFPCijAmr
eVcNzOk/XtPtVsSbQgrMpTdqwbI11E11TQkrTqu0RfrWQtbfmdTm/co4LE0z
4PqjWjgU2pZ6VUgZH2UzXhNIroVmlhlbOoIylqZ2605proVStnHLzg/K2Hcs
KSbieB043rfy8KhRwX9jNpid3tUB45SJe3W6GlbT+d2mPFAHc6yielZYDRP3
UQXyUupAX3T+rcCEGuZ+wLg+ulEHTxzOdHHxqGNF1xM9Bnyv4UihbNurDHUc
oPZPLNx9Dby/Z874FV3GNL9KDh0XrAeth6wXzg5r4uNdKt/hXD0cWH1NWfil
iSWzRj46ydbD/vx5kZbjWviqFt3zl3r1cKeV5euUrRZuT3YQVLlTDzdoQTx/
SQvHyHHIubTVw4L9FIsrrQ7m8g9zrHVpAFdGYzOnf/Sw9K5djdFLEiQH6yye
OWOAdfWagtXrSHD+xqzEtqIBdnzOe0WGTAJKy4TflJEBjpWZWOAcJIHi+b1C
kw8M8JKHFcf0NglupXXO1/QZ4NRJE39PPQTPbGbl+wIMMTVZWyV6BYHF7/EM
6kUj3Bki+aH1TCNUcvuaGH0zxXLMHTRPpBqhND66g4vJDBcm28tYKTXCDuqR
3hE2w49e/pu5ZtII8i+5eRgczLDc8OIt9qBG6B38GqHU/59/Nu2Y61AjKCOe
DKV6c6yyFFy+T6UJbgtUVX5KscS8sZ9/Fa02QajIaUmVIgLG9gFFFd//Y/Ky
AP87AiZIHLZo+NkE5An54mNLBJw6KFfXSfMGyPRncnWEbTE7d+SdtaNvIO5h
hWdPsS1mLT79XRLegLh2x+WzFnZ4b/PVlcaYN0A1/vFIt4s9/rxFmfgoToYc
rlmR6nJHXHMthqwtTYabdH9HLFscceCQYn7jJTIsu1LWmUcd8dHatBtFl8ng
X+t5t5DW6b9+Wf31tyaDqHpnQZyZE07ZGOQ4GUGGd0z0yeY0V7Hm1y7jWxQy
aApSH+xydMa5yw3vmf59CzUyEoNzZi6YibtgbXa2GVptWn9wrHlgoku1c+bJ
VuCm7pUyivbGP5RKZq8HtMGfd/q9sgd9sc+F5qqjb9vBc/1KI8ekP6a8bI7q
5X8PYU7FlY/cgvAf14Hnwvc7oGvlQbdqUwg+q0y349zQCWF/D379qhiBNbL5
r7069gEe+5d/GvYn4rvctiemrLvhige1pZt3LBZZMWEc0uuBIfmAENmhp/gw
8zp98+8eGGT1cWyofIb3ND4vE0jthYB0BuX8nCTsJtkwwqDTB4stdkdd+FNx
iZZDJv7RB+fdmj/vn8nAm585D80n9EOe0D7HZyNZuNpIgzZebQCESnaJ6uy5
OEAzNKNqfgCyI0c1vGzyMf+49nBO6EfImB8Vo39biOVkQuI5LgzCprKptnhs
Cbbm6f5F3T8I8rPFB1NtX+LN99HTnkFDEPhN551dXzlO2kPwMTw5DPa+9mvy
tyvw4YnqbJrmYTD4E6cpebYK730QZCzrNQIN5bV4v1ANpioilE2zjoJOaMzy
fp46fCulLJqVPAqOqyRHJcd6jM5G0LPcHAMbwpJpDpmEWbRviQQzfYJ+e+l/
lI834k+iPf33SJ/ARUPI+/Z8Ey5Ph5OzhHGYaY1ypr9ExjZl0izcO+NQpPfG
byPlLQ4MzQr6VDwBtLd1MtNFW3DpIvdzJl0KULQU70W8bsURaaF2E/oUeEi5
dTetqRU7GX4RfGlAAd91un1Vba2Yi0Qq1zOjQCY68XHuYyuOjLFqJTpQ4NHv
FiXrb634unTy1/33KBBO5vOLP9uGT/x3g3T5FKhKvrMgkdGGdy76HxwqpMBf
dgVTv/w2PPJlpi+/hAI2dlNWzaVtONas0ubyKwp8c4sTsSK14d0zht6hJArw
T+ovPR9pw596Y9Jp+ykwHF617cLWjuvCthz7P1KAMb/x2/vj7Tj+kq1wzjAF
HDaWgkQF2rFOnliVygQFnje4e2ydb8f1vl3vgpYokBtLIaZfaccJolIxBisU
GGlMMj9g1o69plON+dcoUBbM2uRHaMendd0pTRsUmElkd7S90Y73UA/kxm5R
4If5wYx+n3Y8WX3J1e43BVSi4u5q+bdjkmvOOfFtCuS4UlaaHrXjRF7Gzd1d
CixJCu7KRrXj/wGMrkWx
       "]]},
     Annotation[#, "Charting`Private`Tag$15834#4"]& ], 
    TagBox[
     {RGBColor[0, 1, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Tiny], 
      LineBox[CompressedData["
1:eJwVlWcg1Y/fhpEQyswIRamU1S8iwsc6SFRWaEhmqFRUEomQmWRkHJmZ4djk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       "]]},
     Annotation[#, "Charting`Private`Tag$15834#5"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 0.5}, {-0.4659350042614689, 0.}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.8534878657306776`*^9, {3.853491660955735*^9, 3.85349166439738*^9}, 
   3.853492283179998*^9, {3.853495197356709*^9, 3.853495219911541*^9}, 
   3.858852814723728*^9},
 CellLabel->"Out[9]=",ExpressionUUID->"d5ef8b6e-17ae-4a54-9e0c-3006bfae9692"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"phase", "[", 
      RowBox[{"0", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"1", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"2", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"3", ",", "k"}], "]"}], ",", 
     RowBox[{"phase", "[", 
      RowBox[{"4", ",", "k"}], "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"k", ",", "0", ",", "25"}], "}"}], ",", 
   RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.8534866396384068`*^9, 3.853486677191375*^9}, {
  3.8534871698947124`*^9, 3.85348717616479*^9}},
 CellLabel->"In[10]:=",ExpressionUUID->"b03eab01-35a0-4e27-a0b2-b573f08e7021"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwVjmk41OsDhiVCUcL8BiEhQkS20cH7oklHloiyHJ2yNBMq+5atki2UJZzU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       "]]},
     Annotation[#, "Charting`Private`Tag$15898#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwV0Hk4lH0XB3D1JimKEgaVpeUZRe4h3U/odxpZSijVW0hCGEWZQakI6REV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       "]]},
     Annotation[#, "Charting`Private`Tag$15898#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV1fc/1X0fwPFDRstVSEZIKCPZ42v1+SSqi6ikhIZknHCyJSRlZ8uIZJQV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       "]]},
     Annotation[#, "Charting`Private`Tag$15898#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwVz2cgFd7DwPFLSFZ2Kmkoo2Qk3IRzbAnJHhmZF9l7ExklWaGfWRkZyUiS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       "]]},
     Annotation[#, "Charting`Private`Tag$15898#4"]& ], 
    TagBox[
     {RGBColor[0, 1, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Tiny], 
      LineBox[CompressedData["
1:eJwVlmc4FuzDh297RTYJGWUlK3GLuq4nSSHKyMqWkT0jhFC2jId67EJW9ua+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       "]]},
     Annotation[#, "Charting`Private`Tag$15898#5"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 25}, {-1.570389724631765, 1.570619972227032}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.8534866526976776`*^9, 3.8534866777488346`*^9}, 
   3.853487177546113*^9, 3.853491667088752*^9, 3.853492280418667*^9, 
   3.858852818938416*^9},
 CellLabel->"Out[10]=",ExpressionUUID->"01bc47c1-a9fe-4043-8c3d-2b7b55b80e93"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"LogPlot", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", 
      FractionBox[
       RowBox[{"phase", "[", 
        RowBox[{"0", ",", "k"}], "]"}], 
       SuperscriptBox["k", 
        RowBox[{"1", "/", "2"}]]]}], ",", 
     RowBox[{"-", 
      FractionBox[
       RowBox[{"phase", "[", 
        RowBox[{"1", ",", "k"}], "]"}], 
       SuperscriptBox["k", 
        RowBox[{"3", "/", "2"}]]]}], ",", 
     RowBox[{"-", 
      FractionBox[
       RowBox[{"phase", "[", 
        RowBox[{"2", ",", "k"}], "]"}], 
       SuperscriptBox["k", 
        RowBox[{"5", "/", "2"}]]]}], ",", 
     RowBox[{"-", 
      FractionBox[
       RowBox[{"phase", "[", 
        RowBox[{"3", ",", "k"}], "]"}], 
       SuperscriptBox["k", 
        RowBox[{"7", "/", "2"}]]]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"k", ",", "0", ",", "3"}], "}"}], ",", 
   RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.8534866396384068`*^9, 3.853486677191375*^9}, {
  3.8534871698947124`*^9, 3.85348717616479*^9}, {3.853488070926713*^9, 
  3.853488184645849*^9}, {3.85349163588764*^9, 3.8534916866587477`*^9}},
 CellLabel->"In[11]:=",ExpressionUUID->"427c58a0-f500-4a61-a0ae-7f2409bdd161"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwVz3s01Gkcx/EReqxyO6s5u4XTlIbVdsZZ2wWnnidqilaxyYhZDIbRWqxC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       "]]},
     Annotation[#, "Charting`Private`Tag$15976#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwVz3tUjHkcBvCZeed9f7RNZCu5FKEZysomlxb9fomoNlmaymWje2w3pWja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       "]]},
     Annotation[#, "Charting`Private`Tag$15976#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV0Hs01GkYB/AZg7ej2i6m+b3bZQ4ys6WiTVpq9b7kVEhSm/sSRZKYbUtF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       "]]},
     Annotation[#, "Charting`Private`Tag$15976#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwV0WtUDGgYB/Dp5sWyRGYpQj3NtGEnVojqfaPDZivkVCpa021SqVHotm4R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       "]]},
     Annotation[#, "Charting`Private`Tag$15976#4"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, -10.487582244926172`},
  CoordinatesToolOptions:>{"DisplayFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& ), "CopiedValueFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& )},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0], 
     Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None},
  PlotRange->{{0, 3}, {-10.487582244926172`, 0.}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->FrontEndValueCache[{Automatic, 
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0]}, {Automatic, {{-9.210340371976182, 
       FormBox[
        TemplateBox[{"10", 
          RowBox[{"-", "4"}]}, "Superscript", SyntaxForm -> SuperscriptBox], 
        TraditionalForm], {0.01, 0.}}, {-6.907755278982137, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.001\"", ShowStringCharacters -> False], 0.001, 
          AutoDelete -> True], NumberForm[#, {
           DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 
       0.}}, {-4.605170185988091, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.010\"", ShowStringCharacters -> False], 0.01, 
          AutoDelete -> True], NumberForm[#, {
           DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 
       0.}}, {-2.3025850929940455`, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.100\"", ShowStringCharacters -> False], 0.1, 
          AutoDelete -> True], NumberForm[#, {
           DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 0.}}, {0., 
       FormBox["1", TraditionalForm], {0.01, 0.}}, {-13.815510557964274`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-13.122363377404328`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-12.716898269296165`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-12.429216196844383`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-12.206072645530174`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-12.02375108873622, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-11.86960040890896, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-11.736069016284437`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-11.618285980628055`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-11.512925464970229`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-10.819778284410283`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-10.41431317630212, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-10.126631103850338`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.903487552536127, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.721165995742174, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.567015315914915, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.433483923290392, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.315700887634009, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-8.517193191416238, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-8.111728083308073, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.824046010856292, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.600902459542082, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.418580902748128, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.264430222920869, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.1308988302963465`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-7.013115794639964, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-6.214608098422191, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-5.809142990314028, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-5.521460917862246, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-5.298317366548036, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-5.115995809754082, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-4.961845129926823, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-4.8283137373023015`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-4.710530701645918, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.912023005428146, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.506557897319982, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.2188758248682006`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.8134107167600364`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.659260036932778, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.5257286443082556`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.4079456086518722`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.6094379124341003`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.2039728043259361`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.916290731874155, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.6931471805599453, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.5108256237659907, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.35667494393873245`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.2231435513142097, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.10536051565782628`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      0.6931471805599453, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.0986122886681098`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.3862943611198906`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.6094379124341003`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.791759469228055, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.9459101490553132`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.0794415416798357`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.1972245773362196`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.302585092994046, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.70805020110221, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}}}]]], "Output",
 CellChangeTimes->{3.8534945132365313`*^9, 3.858852821018241*^9},
 CellLabel->"Out[11]=",ExpressionUUID->"ba1cd1aa-a9c0-4923-a962-049f4f1494bb"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"sMatrix", "[", 
   RowBox[{"angMomenta_", ",", "energy_"}], "]"}], " ", ":=", " ", 
  RowBox[{"Exp", "[", 
   RowBox[{"2", "*", "I", "*", 
    RowBox[{"phase", "[", 
     RowBox[{"angMomenta", ",", "energy"}], "]"}]}], "]"}], "  "}]], "Input",
 CellChangeTimes->{{3.853486741956423*^9, 3.853486748574054*^9}, 
   3.8534869884309907`*^9},
 CellLabel->"In[12]:=",ExpressionUUID->"0a91aeaf-ae80-42ef-a5a9-461e851bc585"],

Cell[BoxData[
 RowBox[{
  RowBox[{"crossSection", "[", 
   RowBox[{"energy_", ",", "lmax_", ",", "thetaCos_"}], "]"}], ":=", 
  RowBox[{"0.01", "*", " ", 
   FractionBox["Pi", 
    SuperscriptBox[
     RowBox[{"momenta", "[", "energy", "]"}], "2"]], 
   SuperscriptBox[
    RowBox[{"(", 
     RowBox[{"Abs", "[", 
      RowBox[{"Sum", "[", 
       RowBox[{
        RowBox[{
         FractionBox[
          RowBox[{
           RowBox[{"2", " ", "l"}], "+", "1"}], 
          SqrtBox["2"]], "*", 
         RowBox[{"(", 
          RowBox[{
           RowBox[{"sMatrix", "[", 
            RowBox[{"l", ",", "energy"}], "]"}], "-", "1"}], ")"}], "*", 
         RowBox[{"LegendreP", "[", 
          RowBox[{"l", ",", "thetaCos"}], "]"}]}], ",", 
        RowBox[{"{", 
         RowBox[{"l", ",", "0", ",", "lmax"}], "}"}]}], "]"}], "]"}], ")"}], 
    "2"], " "}]}]], "Input",
 CellChangeTimes->{{3.853486839566058*^9, 3.8534868516463633`*^9}},
 CellLabel->"In[13]:=",ExpressionUUID->"1b755cd5-b17a-40f4-9478-09c8830d6ba5"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.853492447397464*^9, 
  3.853492448429699*^9}},ExpressionUUID->"f3ecc0bf-2bef-4449-a8ff-\
2f3439cd2a9d"],

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "0.1"}], ";"}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.853487076166747*^9}, 3.8534871884746227`*^9, {
   3.8534872331434736`*^9, 3.8534872341108074`*^9}, {3.853487279478346*^9, 
   3.853487298830604*^9}, {3.85349233172666*^9, 3.853492342581953*^9}, {
   3.853492438664446*^9, 3.853492473110911*^9}},
 CellLabel->"In[14]:=",ExpressionUUID->"964c704e-82d8-43f4-9305-4a962e141163"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"crossSection", "[", 
      RowBox[{"ee", ",", "2", ",", 
       RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
     RowBox[{"crossSection", "[", 
      RowBox[{"ee", ",", "3", ",", 
       RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
     RowBox[{"crossSection", "[", 
      RowBox[{"ee", ",", "4", ",", 
       RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
   RowBox[{"PlotRange", "->", 
    RowBox[{"{", 
     RowBox[{"0", ",", "1"}], "}"}]}], ",", 
   RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.853487076166747*^9}, 3.8534871884746227`*^9, {
   3.8534872331434736`*^9, 3.8534872341108074`*^9}, {3.853487279478346*^9, 
   3.853487298830604*^9}, {3.85349233172666*^9, 3.853492342581953*^9}, {
   3.853492438664446*^9, 3.8534924693821077`*^9}, {3.853492520660099*^9, 
   3.853492523911327*^9}, {3.853492556058901*^9, 3.8534925575274982`*^9}, 
   3.8534926285963984`*^9},
 CellLabel->"In[15]:=",ExpressionUUID->"af7481d0-e6b6-42ab-b835-aeed7ec0ee28"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwV1Hk41FsYB3DbnfmNpVSWIkuUbG2WJPSe7KVkicqS6FpSEYmylBIjrmIs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       "]]},
     Annotation[#, "Charting`Private`Tag$16330#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwV1Hc81WsYAHCrc34n6VIiI5KSFClk97xJaMkIZTQUGaXIKKQhKylEZWTk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       "]]},
     Annotation[#, "Charting`Private`Tag$16330#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV1Hk0lV0XAHDjvc8t+iQUlbEyRYQ3QvskEUo3hTK8hiIURTQYmmRKeY2V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       "]]},
     Annotation[#, "Charting`Private`Tag$16330#3"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0., 3.1415925894756573`}, {0., 1.}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {0, 0}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.853486874611707*^9, {3.853486906812972*^9, 3.8534869521745334`*^9}, {
   3.8534869953777704`*^9, 3.853487034529318*^9}, 3.853487076780896*^9, 
   3.8534871894251194`*^9, 3.853487304856558*^9, 3.853492164658205*^9, 
   3.8534922764883213`*^9, 3.853492334235717*^9, {3.853492454466238*^9, 
   3.853492481033432*^9}, {3.858852803428073*^9, 3.858852831926577*^9}},
 CellLabel->"Out[15]=",ExpressionUUID->"d6e10034-cd6b-4d36-800e-9982c3382e25"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "1"}], ";", 
  RowBox[{"Plot", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "2", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "3", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "4", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
    RowBox[{"PlotRange", "->", 
     RowBox[{"{", 
      RowBox[{"0", ",", "1"}], "}"}]}], ",", 
    RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.8534870966627083`*^9}, 3.8534871931102514`*^9, {
   3.8534873144855165`*^9, 3.8534873177979517`*^9}, {3.8534925780239277`*^9, 
   3.8534926085117598`*^9}},
 CellLabel->"In[16]:=",ExpressionUUID->"b8aff626-17e7-46d3-a8e6-f170b25b16a0"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwV13k01c0bAHDrvd+beJElyZZEQgmhe/VMiKi3LKmfZC0lQpaUolKJtOmK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       "]]},
     Annotation[#, "Charting`Private`Tag$16390#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwV1Xk0lF0YAHDrzDtFUSEVQpYsLaISei6JULIkCSWVpMiWFrRaSpE9lC07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       "]]},
     Annotation[#, "Charting`Private`Tag$16390#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV1Xk01c0bAHDrvd+r+FEolLUkWxtF6JlUiEK2NlLKkiSkFNJGqJSuJVvZ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       "]]},
     Annotation[#, "Charting`Private`Tag$16390#3"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0., 3.1415925894756573`}, {0., 1.}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {0, 0}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.853487097164942*^9, 3.8534871935492096`*^9, 
  3.853487318357422*^9, 3.853492167513213*^9, 3.853492273910726*^9, 
  3.858852834356035*^9},
 CellLabel->"Out[16]=",ExpressionUUID->"31848cdf-de94-4907-a200-3b020c8286c9"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "10"}], ";", 
  RowBox[{"LogPlot", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "2", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "3", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "4", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "5", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
    RowBox[{"PlotRange", "->", 
     RowBox[{"{", 
      RowBox[{"0", ",", "3"}], "}"}]}], ",", 
    RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.853487076166747*^9}, {3.8534871091831074`*^9, 
   3.8534871096886625`*^9}, 3.8534871976717033`*^9, {3.8534872520745993`*^9, 
   3.8534872662022085`*^9}, {3.853487331037022*^9, 3.853487362079129*^9}, {
   3.853488775281378*^9, 3.8534887759655547`*^9}, {3.853492620660428*^9, 
   3.853492621504117*^9}},
 CellLabel->"In[18]:=",ExpressionUUID->"1746ef99-a21f-48a2-80e1-0cbfd168ea91"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwV1nk8VF8bAPAZYQZtyhKSLSVaFC1Cz01ClFBaJUvySyISZQkhpRKSIlnK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       "]]},
     Annotation[#, "Charting`Private`Tag$16680#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwV13k4VF0YAHDGDGOpEEpKlrJVqEhZOieJSlkiZZeyVkIisoQspYSQpZDs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       "]]},
     Annotation[#, "Charting`Private`Tag$16680#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV1Hk8VF8bAHDrzBCVQsm+FAkt1iw9l5TQTyiUEIqEFImKUimUEkKWhMqW
KJEly5EohOxZWpB9yj5m7pjhve9f9/P93LM9yzmyrhes3bg4ODjiOTk4/v/l
RvytfzR99+3aswEudlFh62S1ntTjI3Ao4EiSN2Hm251n+mJPgcjwwRwXwoVL
0C1UcBYuXmN4HSE8KuzBKIm9AIkmZ0Y0CT8QaxAsqLgE7GP3hUQIZyk5pHEU
BIJdoefC304q1GjP7jqaHgRlPrz3qwj3H7xTmxkbAmef23eHEWYqCygH194C
MTfP7kOEw/f0+GVWhEJNh8Z9bsLCuukVrcV3IZv/w0JJBxUyDD15GPnhELCT
KXSasJqpxn+y2ffA4CxthEy4wnIl3iw9Eo4P5HlntlOh+1SsYmrsI7i50zy5
qY2IR11N5099NIRc0sCsCQdqP/4RWBsDcxV9yR3fqMADjlszKh5D6KETPlWt
VGgyqm3ULIuDFgGNcUXCMQcVfZqK46G2+6twZAsVpCzmShbyn8B0qnqUXjMV
RqxsT0a8SgQHXZ7+iK9UyLOpWJXITgI50cf9rU1U0HG8e+hgegpEzPzFjRup
YO0t1p8YmwbRKKWwr54KAjqAEkzSoabd48XfOirMlvsKDdWnQ60V3ZTxiQol
VT3vL9dmQFKI/Xv8IxX216evPKt4AU/qTHgzq6iwzaTTcnLvS0g7oZZ6vZIK
/I28L9TLXsL1J/2TFhVUaGv2NGkozoS8W2EZA2VUcOzSiJ7Lz4ZdZvvupxZR
AbM9O6ynkgM4nGnQe0cFhd4kjbBXOeB+0Kai4y0VpgZWerdk50Jhcgqayify
96dB1jg9D1S2txl+yibyM+9QlBD7BkL4nquKJlPhoUiyfo3gWzjgY9S+KZEK
HYV3pTWt30KMltfw+gQqnJxyGJUaeAtPvp/8bzKGCj4n1/jO/y2Ed80jB9Tv
USHOwCMiaX0xSGhv/LQjgAp9fUe91toUQ8B6DuzlJSL/AWARmlQMCq9jlIV9
qZBdICp8Xu49nPqed6jfiwofpOvTMI0SeB61nLPqTIXfnHKl43ZlwCW8h1Vg
SsT3TDDZ4WkZZLhGHnt2kAoeunhw+2AZaPu+23J3PxXm/dqMKs6Vw5hMwKyO
AdEfIzdao4I+wIca1dq9u6ig/HlgVDOtEl7u8uBMF6aCXr0Zv9GlGkg2Or1m
tWcK1ndlfdN+XAMZqklxcp1TMDLMFa9aVAPjgljmvm9TEMVRIS22UAMH3BYc
nL9MwbDeDs1Zv4/QwAjcZlY6BRHv1jg/86uFmtagbaXxU9CT1vye6VsHje+s
uOmHpyCvQCloNqYOfj50vrvj0BTcrLqDjRXWAX/c80fH90/B9gH9r+1zdaDv
9Fv/6d4pCBbNH8zxrYeM/ZLLjVunQP7hwzV2vp/hn4bkWsSaJO65hUvRxQZ4
0F/dti5zEsx89HMo0Q1QbbuA+aVNgryr8ozjmwYY/91ypyVpEnpMSdcp0w1w
+OGLcJ+oSTAQq0509GqEc/rSQfaBk8BfptpGdm+CAS8LhX6TScikCYDDyWaY
dTMYvPJnAm5MMu8WXmsG6oPeX7QfE3D850QzKbkZMnoH33n1TIBAfZ19YW8z
0C7dGDBsnAC/uOAAkm0LyBcM7kosmABM/W/+W8tWUFgTzfobOAHny9yiuOTb
QMVLLUubd4J4H6xkODXa4GK14Hk19jjM9um/WzVuAwe3Aw0StHHwX97Yw3Jv
g4OW+/QHR8bh2r5aSfqrNvD8PivJVTcOYXVS+dQ97bBwOmis8OY4pLd9/9pl
1AHFg7ce1y6MQdeEKV+2axfsy/Tb9q5mFGaSlA6E+nWBXblZiX7pKPCbk2+d
ut0FN9rqmCh/FLD8Osam512QkO/3/G3yKOT5wkTEUBcc0Ujx0/UfhdtMjS+e
zt3w25VkMrt1FHYKyNxVc+qBrSo7z4yFjsD9nUscJSd6QTPMLWyN8h/w3dEQ
X5P5A9y45uY5in4D87RXwU+fQegrKcyuUu0F1ypby2j3YTgv2fUwzLQNTs91
1dREjMC06FDiIbMKeLCr9EJW2Bik7MsOvXQqC3HVlGrfuTYBJkUVc0sfGpGQ
snnr78QpOB6j0Hb9RC86lGb0Yjb2L8w45FZVFg6hTTPNB0NKp2Gfq/Y6j6Jx
lPzlAyf3uVkQ1xumWJ//h/QlDVdlzsxBTjZD/pDmHDrk0OXn6jEHy/cLRBJg
Dh1LOTv2wnsOcicuc/82nUNeYlEt2y7PwXpp+xIXpzmULDKQohI2B1JyKW+3
h88hhuBlHZ2cOTj9oPxT1fc5VLyS43vk7xzwfPim9Nl/Hu0YXD9y3X8eZnTK
b8w+XUAW4zK1AVfmgUrzC9qTuYAuTu9KvxA8DwE/Kip98hdQMcvSweXOPPBf
a2F1Vy0gfbGYLuO4eXhiibhP/VpAh62F6tcUz4Pg+ZEOO6lF5F0nlJW0MA/p
ns3vviYtoqivsndi6fNwnTdc4UjGInrbsds1cnkeHgW7eDfnLKLFQSup69wL
MHjc61Jx6SIKZsckOG9cADtxfKNu9yJ6oLUhXFF9AeaH9M6LraOh/JwNHu/9
Foh3fdcRsRs0dKcbGXIHEmYpPnW9S0MOXOfFrYIWYIbbxenlAxrid/jS+jd0
AZxeceoLpdCQ+7pgTYX4BdiqcGd3dCkNyQSMcj0uXYCrSlUTsjM0FLe/LPUi
awFwxVDhR8eXkNdFt8BqjkWQm4wVGXVaQkapG6wEeBehP3FnoLrbEppb8ubJ
EVyEo9U/Hct9l5DFK1mv31KLsMfSqvHc/SVEEYrUsTBchHemE22OH5ZQ8C/H
zh1hi3BjA39lijAdLZoYpLrdX4QYt5XOMTE68i6UOJsWtQjnzuZVK0vT0ck7
A8wNTxbh7Rp/kdTtdKSrfEKOmb0IihvzBVT20RF++ZhvQ+MiSDjp+NDc6ChA
0HydmyANnoZ1bDF/S0fTAcp9z4Ro4O8/y1tSTEfug3wvekVo0FBjoLilnI5s
ixq0DkvR4N1JUYnWj3SkeeKgk/pOGryeWQOjHcT5Xhrmc1rRgCMFre9aoCNf
fR3zZ3E0mC47t69zFwNx+MSFPEqkgbm/bfZODQaKSpstuvmUBs1M2awwbQZ6
xZUrcfolDTQVRQIU9jHQcIPYtGIxDba2cfdImzPQMZvl6MJOGjyJ0HQSO8NA
Wj7VPXUblsD9DHtGK5aB6tK2rCkRXYLpcebT6TgGsm4PgOwtS8Bx1/hixhMG
8tHYmXNPbgn8/nKmMp4yUDYz7arFniUI/fg74Xw2A20OvyXRa7UEpQJ+NgEV
DMRMM3alRi/B7GTO+NZBBtpHN4jdHb8EbAsnoWvDDHTLQrs2MGkJLBgCxo0j
DERhb5fjeb4EDIHEX8cnGUjEft2wRNESPFROTzeYZ6Bdwv0uFt3E+ovZ0vLc
OLrk1RkT17cEqQMas8q8OCqpbf7Y/3MJfLqvqKuRcWTgi2TPji2BjNAHFcU1
ODJrfTkUQl8CCQvjl3824Mgt4oJLoRgdbKdGrzyQxVHOb48YuiQd1PRTYi3k
cfRXy/WjgRwd6kYc7wlsxZHf6DHZJmU69CvGKgUr4eimke7QsB4dLkvsHFfe
iaNkFo+LsBMdJkKGVZr1cNR2Mdk58Dkd0gfeVJpb40g5ev2yfxYdnOlXT988
iqPQN2Hxfq/o8DlqUeHdMRxpTfs1nX9HBw+ZcgFBOxyleplrnKmlA+djRY6M
kzjydGeRrYbpsKJgt3DgDI7q7vo9txijg2eyVIGFG44kMyf0D0/RQY7zVPcx
d2L/P12+JvN0YHPaXz/hgSNtl/wBAy4GfL/NqDb2xhGPg9MbZTkG3MjycMi+
hCOnoC5TpW0MOJ9A2nPPH0elyWYjW5UZIPvfRK3HZWL/Pi0x2T0MaBcu3i4b
iKN223Whm4wYoPrFMibwGo6eWdXY8rgyIPjqZ2r1TRztNZFb+ZnBAHH+Iune
SBxpvGiK+JLJgLgfngaBD3Cktuq3sTCXAcnxo+XCD3EkV/pJ6U4hA34l+/w2
i8LRGkW3o8ofGaDYw2HxMhpHP0k5OQGDDLif3qS5Lh5Hva6W6s4jDNjNaSuT
QLijmlFlOsEAy4ukXPEEHH0OMO2UmGXAhmW5l3JPcPRmbIpdu8qAyOQbeTJJ
OLr1WfXoOmkchPgWjAaf4ihYrucnQw6HsVmrDutUHAXcuOExvA0HnQ2qenWE
PbW+XX+vhoOTbWr2i2c4Opp1MefkPhw65FwtbNJxtDWsiJ3tiMPrI/k/w17g
qPHA3hzsKQ6LOZxXdXNxdOXLDbWQdBwM6zbPxxNWMq0rrnpJrGc48HCWcNjh
Ix9183FITaTqv3iFI+Ojbv0a1ThI3ioZWcnDUY1zjMD2QRymjGZfxBYQ9Qma
vCikwAS/jQos4yIcubPV6EeUmJAo9mwkkrBoiP/1KBUm1IzJu3QQ9r+9em+N
JhNmRXnlnYpxtOeeyAveg0yIiG2Q9X2Po4IEw278LBN8VN6UhJfiKLMwae9w
HhO0o45dj6wg4l8+qdz7hvjfbHzhM+FdB6TEW4uYkGtwz5qzEkeVvc9Z5RVM
aLDToQUQ7lzNQzFfmSBlEvTHpQpHnBbVBwypTFhy8hXTQThynBq2SldeBpeu
iu75WqL+GplGCWrL0JS0MW3nJxxNXD+r/mDPMrT9nXrsTdhf6K/wFd1l6Iz3
Io0TjtShfT9itgwbb+rq/qrDUXkY2Wn13DLoe3Koff+MIxF5FU+n3GUILtKW
YjfhKDo20jY3fxnYc4dpJl9xxM9FNVosXAaejkj1x4Q5hnLF739YBqGDwVTl
ZuL+P1Nsef91GdR20HxPtRD3bYv8LsHpZRAT2Lzh1zfiPBu2LFXsYcEVZ/9Y
3W4czdy6OkzSZkFgeNlIHGHPud5WKz0WbFRR/DxD2LntSfb4fhYoz4TqZvfg
6HCUyImNNizYbuPHI9mLI3l+oUrPQGL+ugNUhQGinzkpt8UqWfDkQnRt3hCO
pvOTnCxrWBDy40rmpmEc8dnv0AuvY8FalynlO4SxdxaLi80s4NFLlz71h6in
a7x7208WDCUCkhgl8vVJzjx8lQXxOTEHSieI/rprIEwzYkM7/7CN9yxxvt3f
ZneYsEH2MafnP8JBP51bXM3ZoOhqr3phDkfvNO+EtR1lQ1BIdq3/PI5kxpoY
eWfYkJZSqRqxiCPWweM/XcPYINjXpdbGwNF7yqWstkY2TD7dWTTKyURjwbf+
Vbew4eXeH/V+XEy0ee6RRn47G5K4Ri9xcDNRcN/r2nt9bHDYRsuQ5GEi41dj
v4wm2fDATvHAKRITdZjbb3pPWYFmU4Gnq/xMNBtlGJFksgLGARYTRcJMpCKy
3tO1fgXIp0gjQ9uZaOObiteZjSvQN+7HeKHMRMxDZ2cmWlYgOyGtxH0HEzUE
V/tf6CHmm+WoTasw0ZkR75Dg8RWQjdHj4t3FRKlFjXEJfKvg5FnUZ6XFRGut
Q1HTf6vQP8wl57afiWailoTVe1Yhy1g2zeYUE8mHh++84MmB2Y09i2UlMtGw
/UC/0TgHNj/2zTu3h4kOjXbi7304McUE46Q2iWV0xc/NQ/QfJzafZ9zGdlpG
FiUpZqIBXJjDOztcI3MZTbM8g7mXuDBuuVn1+D/LKOP7rWKfS9yYtW2o8HUJ
FmJ6GDhfXebGkuMls0KOsZAkO+ak7zUeTOyr59rh2yw0ZhLZROHhxeoose23
CljI1dxZZiuJF5vjcXWVfsNCPy00AwwpvNg6lbx7lYS7bH7LXhPgxWzu/k6h
vWWh2tPqV6nCvFiCnH2baxELpYYMKLZu5cUsvseFbS9joWOlO+4+NuHFznck
J3t8ZKFP25pBKpIYXxrwqLCDhcyifpuJPuTFpHRPXVLpZKE22rzN2ke8mMDe
N6tZhH/ViXmvxPJiLeXdQildLMRwPZv4K5kXM8zwkwrpYSGVNK65Z694sauJ
U1Na/SyUsGnvc+kmXux359VRtyEW8qRk8cjykbAflY6HPk+z0FeuiIf715Cw
Cc7nIRozxHz2OVF3QRLWrBhp+5zwzJyqUp4QCYs81/gneJaF/Afem2tuIWH9
Hu4hqvMsdL2gPtZ0BwmzL+rpCaaxUPSxURm//0hYxp7PY13LLDRn8SU37ggJ
K2s5bqnNYiFr09w9pVYkLACPdUwiLLLvvDHLhoRBz83TDmwWSlaknQ1zImGq
6LvMrxUWesnkeZN8gYRFCajcaONko9J0BYNPMcT62fO5vmQ2Ulg1Dvr4mIS1
HJrh/EQ42tGtHMWTsIPC3ILCFDby2JKlWZlEwowCBvTfE94Sp6j2PoOEaYns
Iy3ysVFwuLJ0diEJW3DSsTstwEZGPrs4I9tJGBorfc0nxEYFzZZwr5OEfaPZ
p1gRFt/hez28m4SN85/DkggvjhfioX0k7NbpnQWKG9go00V9PniIhHWuGIkb
bmQjio3WH585EsYz5mjtLsJGrXr69dZCZGxU7PjkNTE2ul92efngRjLW9Sw9
pYywieab3XoiZKzygCn/EuEaNbln8mJkrP2OmOTFLWxUJEsJXJQhYz1bTcVd
xNkokdyllLCLjGn8OBGlJclGpzu9HvQdIWNyRqdm38iwkYxlZm2LFRnjE4w/
OUr4R/MvxsejZKymmxy2RZaNbD9bub2yI2N7vVib7xA+VK69L+gUGbPPDNt7
TI6N1NK4ZyUukLEtVcJXJuTZiOGZctQ5ioxd4AwIGdrGRo+uvSCHRJOxN5nr
ejYostG2+3kVqbFk7BnvvT/7CdvkVsgPJJCxivKb8pmE340PLNikkbGoFwd1
zyixkfcZiTjzt2SsMPdvb9d2Nhp0TO3S6iBjhu+lQ2+qsFHg+cwImy4yxn+b
NJpDeO31fH3/HjK2/PcLRzthg6dVLwv7ydimuD3uMqpslNz/01/lDxnTcqFQ
Kwgfs5MSkVskYysfHGZG1diowTLNRlCUgi09j/Al7WYjz7rRavJmCqY/ekRM
gbCgjooS1xYKxp2jHmZI2Fq6nLkkScEsvSPfBBEe+NeRNriVgl1PFjL6R3j6
PmmqSJOCkcI6/Or3EP23cvhogTYFY91ed+k3YXW/x5U5eymYq8+hvTjhKydk
HqUaULAct+FNKupsxKWkqxF+gIJF+EhLPyIsUn/+hr0NBYvc/NrZTIONynSK
x4/ZUbC/3o8/OxO2f820PHKCgl1co78QQPjZ43B5Y0cKVtWzkv6csJJrRoOq
GwXDI+4coRPWX+3awHmZgmmuJ3ElaLLRLz/x4OUACvbRWqEvh/CtMZdR2hUK
try/ILCC8OeW6dKpYAqmR1FZM0j4yFOKY9cdCoYGeh9s02Ij17362dlxFCxO
cIorl/C5fy20HwkU7ElMktgHwhczThlvSKJg/FXXppoIh/CFDgWnEvEpr3yg
En7a1yhunUXBrj7R2KyszUYvHp70DM+hYBm1qZx7Cb8y/FdW+YqCGdg9yDQh
XJ673lbxDQVTtJaRPEO456pdNKuUqN+gYnMS4Z+qk792f6BghkMf72cRHhm6
pnq2koJ9p27nKSK8YPqsqb2GgtVL3FX8Snj9llGe7EYKdmLVeDeD8KbWgKM/
vlKw9lTVL1w6bCR1m/JcqJWCNb+W3SxIWHVqBwR3UDDHyyZUGcJmH/yuWg1Q
sGgNsDtA2MqHpyHsJwWb2KT7+T/Cx+USRCt/UzDe236zNoTP3i8v2jZC5COh
MMCNsM8+cy6HMQpW+KK2w5twwPwPy5gJCpa3unXqEuE79hzTy38p2E7/JbNb
hCPXxurvnqFgZ0O948IJx9bKR7rPEf3aejDpIeEMZROldhqxn6BOdyLhnF+9
ASQGBau8ZyvwjPDbWM96PSYFizo6sfKccDXzoWvWCgXbNuEn+ppwfYF04QAH
Hybf4qv3lnCza+Hqem4+LFN9VryYcJfofouDvHyYaMlsaSnhgaaup0FkPoz3
4+V1FYSHb7hT3/IRfnxLrprw1B7G3rE1fFibvuhcDeG5sXsR4mv5sO0ZmkGf
CDOSxb9brufD+vyHauoJr1rkbw3bwIfV7hOv/UKYxA3+FcJ82Be7kRuNhAVL
22pnRfmw7ikDehNhYS9XoW1ifNivRaUdzYTFpRdPnRTnwzqNs7a0EJbrvFsQ
LcmHlQaV1P/fyuGb2PXSfFiIgL1KK+Hdernmy7J8mJZ+jMX//T8lYzXJ
       "]]},
     Annotation[#, "Charting`Private`Tag$16680#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwV1Hk4VVsbAHDEcYRKoWhCIZRSlArvSm6FMiZFJF2RJCQqGpShiZAUCSlD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       "]]},
     Annotation[#, "Charting`Private`Tag$16680#4"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, -2.212237592976218},
  CoordinatesToolOptions:>{"DisplayFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& ), "CopiedValueFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& )},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0], 
     Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None},
  PlotRange->{{0., 3.1415925894756573`}, {-2.212237592976218, 
   1.0986122886681098`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 0}},
  Ticks->FrontEndValueCache[{Automatic, 
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0]}, {Automatic, {{-2.3025850929940455`, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.1\"", ShowStringCharacters -> False], 0.1, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 
       0.}}, {-1.6094379124341003`, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 
       0.}}, {-0.6931471805599453, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.5\"", ShowStringCharacters -> False], 0.5, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}}, {0., 
       FormBox["1", TraditionalForm], {0.01, 0.}}, {0.6931471805599453, 
       FormBox["2", TraditionalForm], {0.01, 0.}}, {-3.2188758248682006`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.8134107167600364`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.659260036932778, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.5257286443082556`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.4079456086518722`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.8971199848858813`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.2039728043259361`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.916290731874155, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.5108256237659907, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.35667494393873245`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.2231435513142097, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.10536051565782628`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      0.4054651081081644, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.0986122886681098`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.3862943611198906`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.6094379124341003`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.791759469228055, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.9459101490553132`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}}}]]], "Output",
 CellChangeTimes->{
  3.8534871107244987`*^9, 3.8534871984496565`*^9, {3.853487255970744*^9, 
   3.8534872689494233`*^9}, {3.853487334997386*^9, 3.8534873634001784`*^9}, 
   3.8534887777130165`*^9, 3.853492170391782*^9, 3.85349227096279*^9, {
   3.8588528375180264`*^9, 3.858852840503981*^9}},
 CellLabel->"Out[18]=",ExpressionUUID->"f356499f-2e0f-4f02-8da5-2bd66af20ddf"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "100"}], ";", 
  RowBox[{"LogPlot", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "10", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "15", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "20", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "25", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
    RowBox[{"PlotRange", "->", "All"}], ",", 
    RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.853487076166747*^9}, {3.8534871091831074`*^9, 
   3.8534871096886625`*^9}, 3.8534871976717033`*^9, {3.8534872520745993`*^9, 
   3.8534872662022085`*^9}, {3.853487331037022*^9, 3.8534873789477253`*^9}, {
   3.853487421200201*^9, 3.853487430637251*^9}, {3.853487466990423*^9, 
   3.8534874849497313`*^9}},
 CellLabel->"In[20]:=",ExpressionUUID->"9eca7f4d-a528-47eb-a310-7b5fa1901c40"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwV13c8FG4YAHAcjkJIkzIrSSoUSj1vfkpGCGkhLZVNopDSkJYQpWFUVqTs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       "]]},
     Annotation[#, "Charting`Private`Tag$17160#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwV13k4lF0UAHCMGEXRokgKLSISFVk6bz5JJWmxVCiSCtkSWSKFdqEoZStC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       "]]},
     Annotation[#, "Charting`Private`Tag$17160#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwV13k8lE0cAHCsY5VEh1IqdyIdCEV+T15FKWeOipKiQq5ESkkJlSRFqVw5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       "]]},
     Annotation[#, "Charting`Private`Tag$17160#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwV13k8lE0cAHCsY3WIbqVCSKQDSa7fk1dRCpGjoqSokCKRiJSrSyhK5cqZ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       "]]},
     Annotation[#, "Charting`Private`Tag$17160#4"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, -1.9334703412997503`},
  CoordinatesToolOptions:>{"DisplayFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& ), "CopiedValueFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& )},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0], 
     Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->FrontEndValueCache[{Automatic, 
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0]}, {Automatic, {{-0.6931471805599453, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.5\"", ShowStringCharacters -> False], 0.5, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}}, {0., 
       FormBox["1", TraditionalForm], {0.01, 0.}}, {1.6094379124341003`, 
       FormBox["5", TraditionalForm], {0.01, 0.}}, {2.302585092994046, 
       FormBox["10", TraditionalForm], {0.01, 0.}}, {-4.605170185988091, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.912023005428146, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.506557897319982, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.2188758248682006`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.8134107167600364`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.659260036932778, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.5257286443082556`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.4079456086518722`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.3025850929940455`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.6094379124341003`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.2039728043259361`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.916290731874155, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.5108256237659907, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.35667494393873245`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.2231435513142097, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.10536051565782628`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      0.6931471805599453, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.0986122886681098`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.3862943611198906`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.791759469228055, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.9459101490553132`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.0794415416798357`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.1972245773362196`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      3.4011973816621555`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      3.6888794541139363`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      3.912023005428146, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.0943445622221, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.248495242049359, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.382026634673881, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.499809670330265, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.605170185988092, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      5.0106352940962555`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      5.298317366548036, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}}}]]], "Output",
 CellChangeTimes->{
  3.853487382979188*^9, 3.853487435312606*^9, {3.853487474370874*^9, 
   3.8534874904431567`*^9}, 3.853492179085717*^9, 3.853492264566764*^9, {
   3.858852850121696*^9, 3.858852857687882*^9}},
 CellLabel->"Out[20]=",ExpressionUUID->"da3218bd-9b5a-42cb-a6ff-d5514b5d1cd3"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "1000"}], ";", 
  RowBox[{"LogPlot", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "50", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "60", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "70", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"crossSection", "[", 
       RowBox[{"ee", ",", "80", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
    RowBox[{"PlotRange", "->", "All"}], ",", 
    RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.8534868812560863`*^9, 3.853486942503617*^9}, {
   3.853486998913436*^9, 3.853487076166747*^9}, {3.8534871091831074`*^9, 
   3.8534871096886625`*^9}, 3.8534871976717033`*^9, {3.8534872520745993`*^9, 
   3.8534872662022085`*^9}, {3.853487331037022*^9, 3.8534873789477253`*^9}, {
   3.853487421200201*^9, 3.853487430637251*^9}, {3.853487466990423*^9, 
   3.8534874849497313`*^9}, 3.853487534783304*^9, {3.853488294775798*^9, 
   3.853488306637196*^9}},
 CellLabel->"In[30]:=",ExpressionUUID->"cf6f91bf-b8ac-43f5-9a41-ddf0eddf226e"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJwUmHc81W8Ux/1QpJRRNGRWopRshXNTVJIKRWZUCiUjo2goSoUkszKSZDRs
Gjz2zN5773Wvu3Cv2+/pL6/367nP9/mczznP+Z4vCdvbhtfY2djYtq1lY/v3
lwPx1I8ou2iVFT7ccWyXIGH3VOER0Tdn4f04f/cWzCvpB692hVqDl8ySULCU
ICGDBm38365DaobvnzRJQcLY5htLuaG3Ya/CIZKThCAhcFsV77dfbnCY9tOz
Q0yQkLTXIo7tmycs7mM/O7ZTkFCkSpQ3iveG11e32EbtECR06/qVfAp9CMr6
slHErfg82Q2yPiW+EBkW1Tq3RZDwTKHd9dOvJ7DK30p7JSBI2Hw4/ld9tj/s
57brbt8oSPhw1IFz6esz0Pk4drGER5Bw4JTSGYnPzyEhagEM1woSfp1jhevF
v4QjCyLXnv4nSGizDpWOCX0F69hpQd00AUKG4gG1kfIQ2LvVVmSFKEDwVH3T
61nyGgpCLjF/TwsQOMFy94dfb0Dcjj9qX58AoUa7pFo5PwxC74X+bm8TILzW
lXaqyQ4Hs96/HLvqBQiiBqRc8tdI4N0l/P5jgQBh9PxF84DUKGj57nWoLVuA
kHbh11+Rz9GgG7zB7XOaAEHN0v+kbvw7qH1WenZ/lADB8Oa27qjQOMjcppeS
elOAsEENUMSJeIiRYmO0XhYgEH+48A+VxwOb/YGd740FCLkF7TnuJR9gLZvv
fdZhAcKx8nhW7K+PcGbPey52DgHCnhMt56bUE2H1j5PlfxR+Ak/1mo+K+YlQ
/XRaNWqUn9D4x+FEVfYnUMtMvPi8jJ9g2aoUQvr6GebY2t7ZPOQnEC5eHz6y
PxkE73F/XnOLn7CrM1rpaWoytKjc3X3YjJ8w3cPq3P45Bchjv4zOKfITPEeq
JI7Hp8EnB2dtgUE+wutFi6yI0O+gPOgX1SDJRwja8lajiDcdujpXIrLX8hGa
M/zFlA3T4a/7s8Lllk0E82mLMdGedEjI7+eysNxEcDJf77I4mwE/OlRjoi5v
JGTRaUbXD2UCL2v593rRjYSlN8Mqve6ZMBLeuXVHNy/B988PZjkrEz5LmfBS
z/ASwjRvBETzZUOep+/5VqkNhK4uI8eNF7KhfTXIzL5tPUHUAwyeRGdDzfbl
PZf91xM+fxPafEsyB0I8fvmdHeQh/BQrjyMo5cKL7NCNe3zXEQb+k8ybMMmH
a5pugSlX1xJ2xfK+tXifD8u3qtZq0dcQbhxe9mkazIeznPs23Xq2hrDo2qj9
y/4HzBFitxjFcxI4Rx/UB3v/BNWnBOudmeyEU48cMjiKfoIxKWOzw0F2QrDI
xTAvzl8gdzM4+2vKfwThC3JmtkG/QJOqLPszjI0gW9Ezphz3G7JNlpyd/Jhw
27ayKnXkN5RKf7iy6xQDslmZaWJ7C2BEi2h+cu0KaKq+cFmXUQCqV0wXj9vT
4Vyy2mpvSSFszXyrKNZIgiPlejzabkVQvVCyXyO9DfhakxpU3xRBxNWdozGf
G2B0mD1cLqsINn1HbE67yuAHycpMqqUIGvobiiInMiCY7ZfYNnIR6N937VZ6
FYiubBIe2yhYDLTHWTKUzjykJuqWyqlYDNa/9PzcDcoRr1zD7RXDYqhWHC08
Xl6Hho/sUya6FkOYm6fd/rBmlKf3bGUstBjcn9nbhqS0ocBLI6gnsxjecTzW
Ed7ciS7fAP+m5mIQ03H4tb6mCyl7vtOrXCwG9eMmpJLKbsTzlL6pQKAEdgcJ
xazh60H9YUZtmQol8OFWQGJxWjfK+vj9bbJhCdSl/N0ilNKFAjLXX451LYHW
F27Dc9s6kWXx9d1hoSUQskday0mgHSk0lk4/zywBo+RuybufWxDXgFj6w+YS
8Axbf85lrhH1znm7uy+WADJINkqdr0UZzI7DjgKlEL4RXbP9Uo6erldis1Eo
BdmMKT2PK4XooMzsC33XUnC8dvNNuuYrxKl28px2aCnE1Utcdf6UAJ26iVvU
MkvBYCbQR+JqLjy+ahEvtVgKhqn3Lp7vq4T2uD85Ky5lcDBTzeKxVwekfdvr
TXxdBnfvRhprbOmGRwV+hPGMMnhhJfT7Z1gvyPRo1DaRymDWeGi1LWYQWFNR
IZX85RBduDUwM2MImpcoFwoOlcN+1tzX/XnD4CP0dTDZpRy2R2ucb44chfO7
1yXFvi6HBZWG8HtuY7BH6ZpjWEY51KYMf8w5Og4M7WL5F03lkHic266afQIa
z++kPSSVQ/ulQEtm7gR8unz3lzt/BZQMuhaGWU3CvdttjxwPVQDdVru4Y3kS
DB4c0rU5XwF6d6PF1j2fAqmgoPUmLhUg8+NXpsOGaVh6N9Wo/7oCPsWskdPw
m4Y/qToR2hkV8DQnfvIncRo+/PhgrtZUARau5AoJwxnwqFoVP0CqgPhP8jtT
kmfgdMelcSn+SngpujvtKWUGxMdz0rYdqoRRR3r0nPIsUCn8LpvOV0J/8xrf
jbdmoYbDSWWNSyVM1zrdFn47C3ECNYyVkErY0LxzWbFgFu5I7CkmplfC+fd3
dIPaZ+Gk/OOn442V0M3o3q03Pgs7of90L7ESDikmi76anYXFM4f5m/mqgHxm
2e/B1CxUWES0V8pXwew7yWC1vll457j4ruBcFaw5+OhaT+UsON8zsMlyroJj
Y/eOPkmZBT0njWTukCpwklcX3/1kFqRsZRcsv1fB7xjpmgvGs8C8sFUlq74K
SlI3NcrunIX2U2vvc89Xgfwni6P5fTOQrkkpteSthqMaVogvYgZeHBrmydpf
Da4TqSE6ujNwdXfjeW79avh0JC/bbn4aNLcVRlk6VgPF/zf9cfA0CPF+Gch8
UQ094hu5kvdMA5Ht7R7u1GpI52F/Opw7BYmT7tmZk9Xwy4ozoxxNwoPeKwwu
7hpwPOyq/kRtEkwaz2tbStcAJ3HNjkcpE8CTL9fIZVcDwgvw0ezOOIym7RC2
9K8BJ4+TcSfrx6Awbp1VZmIN/H30eCBCfAxcno3NWIxgFvuxx+3bCOh5tyhk
stdCU33ZJv7pYdh1u/gul2QtJOsfsjwoOgydF2O4Mi/XQklKV6GA8yBk6r00
4HpUCyq7yhS7dwzAS6274RZxtZAg/mJ47GQfaO25IMXVXwsSUrpOdz274BN1
A1iY/4EOUs65OdkmeDC14p9x7w9wJzIO68/UgWnf5J+1b//A8smoiWd21bCh
vMwso/MPTCWtadLlLwLXMB+PtRfrIH9cNOXGjRikH+BQYO5eB7+9ChXuxWSg
PT6mnBlhdXDBa22zO/tv1HVFKdS8pQ4cr57MtwupQgTF2a/p5+qB1fh64hZX
B9ou3U1Z41wP0wJD58fyuhB5e9UR81f18DL7/OnCq70oiT2xek19Pejf1Dwu
3zaIHtFe85nP1cMRi9fGG8WGkdn0Q5P0DQ2QcquNS8B2BPE2m4+ZnW4A7Sfu
2bF1Y2i8/NT+dIcGkHTw2bSRPI6Kfqi6rXnRAG1V6RJ310+it193/zRLaQBw
7xfT3TKF7nwQ/C+9qgHsZeh8wxunkUH4fyfXTDZAb7hIbxVtGoWVeZ74ytEI
ac8/zgbVzqBHhfPTJoKN0JIls23s5Sy6lX8tmF2qEfwNs26kqcyhA6fOi/+n
1AgSzFhel/Y5ROzSyPx7vBEUxS+rNJvNo0yHvcdZFxphndGDUo3SeXSHIdjO
tGsE1Hc8/d6mBaQS+Pc6w7MR3q/9JpANC4guMrO8HNAIdmMv/G4ZL6D8r+0v
l6IbQcR1h9ATgwV0T6tkJz21EbqXOw+IH1xAGg1fv1N/NcKZdSFL2fR5tGod
fZTypxHcG9Dm6ZR5VEj0a1nsawTO9x32b07Mo0e+ztdI843w6YFpfULzHNIW
sKAv/G2ER6+2w44zc4jj44nn83xNoP+rRGbNj1n0tEz064xCE6yGhnkeuDWD
Tl7ggeljTVDxZIpN98c0WjdObZw0bgLHdX9Ou7GmUCBXHWXMowlmrEX6Y+5N
ojd63hqDP5tA5iW7pKTNGDLusavvr22Clxr+4T9iRpHQTcPLfb1NkDI6+MC4
bwS9DZLx62Y1QVHDt/VON4ZRfGNHbat2M4yx/eLj9x5Atjalli1GzdB163FB
3PF+JLX4baHpajN8lgy6WLmjDyUJPhVseNoM5rfXbQuhdKMbiS6f6iKbwTdL
JrGH1oVklS1V/yQ3Q+MlD/lt3F3o60Ul8+qaZjh2zkZ8t2kHcpoQm6vsaYa5
pfy7KpHtSN5r/cOK2WYg2yS6lYy1oUVuOl/5ajNwk72G2461oezo4YTSjS2Q
UeCp5ZnRijxk65VKxFogLyz4wecDrUj114+KIvkWmOFC7ba/WtDS6U+m6GgL
nI0Usfxg0oJ+9oZMFxi2wAZz7igTjhbkc8vH5/eVFnD7w73kUdiMNFnXN/66
0wLvF01hPqAZsYKN4n/4t0BXyPquFNtmVCQGCvkRLXBg7zWJsNPN6HG6bFnu
5xbw/dwdH36sGR0/KnQxJ78F/CwXD4frNaO1zf9NZlW3gGHfVkOvy82o0nbu
bmZ3C7yqMRqS9G9GAeTO9RkzLXDDKSrQM78Z6fmVxXxntsD9l47JJivNaMOW
9IPfeFuh0NFQ/aNeC6r/9K74i2grDPx8PKOW0oJCVJ4ZpR1sBc78PRy0La3o
fKXrWAqhFRxH3XVyQ1qRgKmVZ/L5Vji+Ut9ttK0NtU6eWvfZthVciudlPn9v
QwvRe3WeuLZCwW3n0X0n2xHPaS5f68etYCORRr80244IX8uWhBNawdLkj+cO
k05kbvVRiZLRCmNfRB5Y7exCHpseOzcWt8Lmk3WfU+a7UJoLTAYMtULI/J7C
9xk9qEJSdNc1UitsCzjmM5DQiwZbmNZH/2uDXWWaLtaxfUhI5WfHsngbFCQI
s+3JGkCPV5QqHS63QV0oy0p8zzCKSRPkOOHcBvWqe14wSodRvsWiltSjNqA9
zfIovzaC5gq/5/bEtcH5iAabC9mjyPSJbJL+QBs8HmV72uMxgQ5uEPc/YNUO
X0Mrt5kazCG9AlYRj1M7OAeMOv9aN4+uOvUxx++3g5DqzGQB7hdvG9/eiYtp
h4Nyya6NW4kox/duuvfXdrD7uHGHhisRNSqYzpoUtIP8n1O/5quJaG34lqt8
fe2wY0fVFL8bCUnoUuJmZ9vBejBXgFZKQhr05p4qZjskX/3ss05gEblcCjHy
FemABbsQ36+JiyiQ5/Yry/0dYMgHqz8nF1HSrzO16hodwPwxOLK4l4x6d64/
tmjeAauJ3wr/iyEjev3Ug3rHDijtpnbfaSQjgUdVP1O9O6CB5/Ua/b9kJHfo
M+3pyw7oe1nncVWGgk4O+ytcedcBRr2WTgkGFHTlzVUnSOsAe84nb0lOFPTg
+LHUHb86gHLlyxWdFxQURZUYp9d0wPcz27dHx1NQVhKbZGt3Bxx++B8nMYOC
6k0GLNOnOyD4S/bpC4UUNMldGB240gEPLl+v7ymnII6f79tu8HRCrapUXUwV
BYk6evPrbO+EN96ej39XUJC6iNkZCdlOeN6uEm9dREHGdWrPV9U7YWek8o/s
HAq6/UC4vOtUJ3BH272bT6KgFwdpbLmXOmGPwkzs8TAKuud5at+4QycwYi0X
pr0pyB69vyDk0wn+Mm0hYdYUZMpFfKgb1AluZ522hgGO/+yxVI/YTpA+n39C
S4SC1CIjWpO+d4IVwUZwikpGewemWO1FneBdN/B7+g8Zcd0OMVId6YQPh9iu
nbxDRrTckfvXKZ3QWdX18rQOGY2zVJIj13TBQVbEz8XNZFQR3MekS3fBzG+O
FuuMReT3TTYp/2YXuK+9wmM2TkJ3aPcbJ+93wYlvp5ZUsknoilbTytZXXTC/
e8m6+DEJadd7nr2b0QVBOddOxkiSkIJQ7d2Uki64tkfwlA6FiCStRBO7Wrog
eGsQ58lKIvpvvmxJndYFeTNh38ddiIiovFXKgasbkqQk89EpIhq873jm7dZu
uEi/wrolheu1vNCzRqYbCMc+5QmwFlARr0DCyuFuuP+n5KnBjwWUfuHaH1n9
bhCuZm/I8VpAcTH5NDPLbthKly5w0FhAwWPrJV46dYNQjszLl5wL6IGc9elf
D7vB+mlysULTPHJyz3SfCekGmtpZd8+EeWRZsCZ+R0I3vFTkeHTLax7pr7lU
czqrG7qNOnN2G80jjTNfKN5l3fBjXe2WbwrzaH/4X9Evbd3gaGZA4xeeRyJ9
hqd6x7tBcbpUzoxtHm3YneS2Yakb1E+tqATNzyHGzeUYjXU9MCnXfP770Bya
ztavurm9BxjSB+JLuuZQNzNu8f2+Hri9wxAq8XxQc5wsUqfRA9dSOy1/dc6h
n4G6J1bP9IDJ7FWDdwNzKLU12kXOuge4fFQibWbmULTI3DtL5x6ovVDOWsuc
QwFXCRVBvj1w9tCL8Mf888jryxtiQWgP8BwWLqjeN49uUMa3z3/sgVztxP2N
evPIROOwjmhOD5Qty5OfOc0jXb+g2wYVPXDmtLXnUMQ8UvkzGP2gowc2bdzr
Xov7zZ7NSmXfJnugyyNwWYE6j7ZYPJvvX+6B6FfXLTj2LSDKjNwxEOkF1aOi
tk8+LqBRRd9bt+V64dQsrYdtfAG1eLdGxmn1gllT2LWjQkSUud579u/lXqid
LfUJsiWiBKN6IXnXXnCyLujyfElEoe8kjl5+0gsGLM0+yVwictlXFV70qRd0
lp/n3uIjodFro4/ic3vhSJGCNgeQ0MV4tpuPKnvh0ebEwWUnEjq8RV2bMNUL
Dzc3CaQ3kxD7Xzz07O+D+ojQ/c+TFtEd9YquOM0+eLeulOTZt4jG3YbLHhr0
gVjQk0Iqvi81k9vfgXMffJTXFxH3J6PQ5pcnUBb+vRR1o58dBXHyJivElfUB
PT887UQsBXmcKNv5sK0PftQwDjxtoyCz30yyFr0P3s4YZvYdpaI/tK0Dotz9
MPJd/WCaBxVpHVKuYW3th9d9f6YsUqlIMulWfOHhfthqb2bbyUtDYYPPX8ae
7ofSjw02lzRpaO2OJI8HFv3QqtgbJedIQ9Ov+vW1HvRDzsxxa71iGrKoWVEV
fdUPhKgAPeMpGqrnFJZixfWD9E/iB6VNdJR59+xyQXE/8JVy7xIwpqNd2Y6j
Mc39IJDg4jDsSkcR888a7o/0g/r+ivyDr+iIWybxpyUF6z0mVT2dTEf3rhR9
0lwzAN7HPe5yFdHRbExvyE6hAdA6+nvcp5WOrDqXvFf3DMBVsugjnXE6ahTY
cr1PdQAigv35ral0pH3mkGHByQFYE2ZZXvPfEsp+dkYz5tIAsDW82hm0fgnt
KbHfe99hAEz2Vox8FVhCUUx/QUvvAeCQvsivJryEeFQTWBqBA7B147nv6tuW
kI9L4ZRIzAB4rDf7Xrp1Cc2ndbcyvw5Ac4B44dSWJXR5nIZ6Cwdg9A7wlfAt
oRZxwbTfDQNwO+6d7LV1S0jX/GDE+8EBiCo/8HnuLx3lh5/29SENwIYKfbon
hY62TCqqHPhvELrWXtslOUFHBmtK9sWuG4TCneoh6zvp6JnkOYmNAoNwZIdr
jnElHRVBv9CD7YPQFmg/JZpDRwr3Vv6z2jcIpgSLjMJAOnKMDKDXKQ5CxRHX
XV0edJSYLTSnqTEIe3TaV1at6UhoQaFz55lBuBtmn7xwkI5Wrjh+63MahHjF
rUzBGhq6zE/2+u0xCA+4J7KGMmiovPDesXcPBoHHhmGUF01DIdtedJoGD4Lk
SM7rVnsaolXwf1SNGASl3X6iJwxxfdyJviUUOwiLChx2wkdoSLohmb316yBQ
hD9NiGykoUAf+brMnEF4mUpPdV+iokWZ/MjXBYNw/+aRI24jVFToV7n/bN0g
mPt1Bkf/oqJdCmfpcm3495mnbvUnU9HzgfbiDX2DkDUZfYEtkoqMD49frJkd
BMbBxIx1uN5/TtySSKEMgrHnI/W116lILJw684w5CB3vz66uu0RFftr3c+04
hyAgKPfeTn0qml7g9NXZMAQSaR12JwlUdC4m8PSuzUPATXyU9VqZinL1Ngtx
iAzBQph+2N99VCSy9G5wSGoI1oqlPImUoiLfT1JpRfuGQPY2OmElQkXjhmnu
cYpD8IpxgG4iREX6bIqEB0eG4EJ19OozfirK/PqTx/LYEDzYwBAj8VLRVnPt
tiOnhyDbt+xR+HoqesBdE7fdaAhmv6OPHjxUNJJz3mHZbAjC1DJcwjGfvNKl
1Gk7BAm6BUcW8e+/8dn8zXUYghRmYGHgRiraXDhZHe46BIH+yruvClDRXUfn
sDv3hiB6x/B6T2Eq6t+6ZGX0eAiEWNqPS3dS0fGKhzIKL4bg+0Qp74ndVJTq
xkXhCx2C+9JBaSw5KuKTeFW4ED0EnGuNmsdVqcijXuh5/YchME2kuzG0qajH
O9boa8oQfF3l+Kt6looIMntEAzOGIOvgqnWkBRUltX+ddPgxBOSP79g3O1KR
66GC+3urh+DLEyMt/ZdU1Nl//CRX0xBQjD8prbynIs3APwLjnUPQ2LdJJvU7
FXFP9Hz+ODkE81UczgsdVOQUdsX1MXEIlOX0jrnNUVHL0RkNm6UhCOkP3trO
QUOx71eaRLmHARSef+ZTpCFlw23MaOlhGNHSJUi/pSHbgovnQuyGQaZ0w8Ds
Q3x/crcKbLs9DIYmv8uN4umI/Xt3ywfPYUgVkRX8g/tPQryVSVbAMIgP0999
wP1k+ImdVXvqMDzWgDvfHy2hTJ+94tZZw6Ae/67ONW4JPXafHpr4NQwaf0RP
JxcsIcnrTteW/wwDvz4y2bm0hGz1PG6KLAwDJWMNp8qVZaRwTO3AJ/owfMs6
vPaV9zJi11hZkGMbAclpc6em0GXUrPQ7I5d7BN5s/t2/kLyMEuQeuAH/CER4
bBHoL1hGrnsIylXbRsBh8/65kKZlpC3GTj8nOQKurzqDWSPLSGBrWX6X7Ajs
bNS1EqUuo2G+p/dsFUdgxlxNeIpzBWWuO6kxc2QEUlfFWk0FV9Bjdh6W2/ER
aJcib7EXX0GGjFrE1B8BU2JYtdD+FSRJCfL1vzACIYqVepdVVtDi7NljG61G
QOl0xFUdWEElY/xrIu1GYKhb82yl7goK7W+pELs9AufsgtIm9VeQbUd4QLLn
CIjn9np/Pb+CFBpN9A49GoFFt+TtOy6sIPbqbRt+BowAjyn9gJrJCmou7qnT
fj0CXre+x24wXUEJP2Ne1UaPAFFp3cMPeN01y/q8ccIIPPhsxPHfxRWk/UVC
sC91BJbVCA4qRitI4NNI67WsEeCYJk6dObuChmM+Rcz/GgEGgfOdsR6OP+K6
qWfZCHx632NrehzH/0pmO1vdCCR2mPRd18TxB8z0BLSNgMt3Xd1QZRy/79cY
/n4cHzXfdgL7sXj3tvXbcazf1MPBUwrH73pIQmphBIyTEclwG473ak6iEtso
+Oy0F5HnwPFaetoVcI8CV74YzYiO831Rfa8u/ygU6miEcc3g/J4oSDORHIXd
ztXfbHE+h2XLM+8dH4XDtUGy6N0yypR6dofjzCjw1o1OqAYvo8cip1QCL4zC
2/vEhNJHy0hyY92PGLtRGPhL7TGwW0ZXSK1FRQGjcGTN/P4spWV0+V6ISX7I
KAg7bfXilF1GFhz689+jRiHCOegvEltGlwK5/D/HjwK9xEFtfssyurildEdc
8igoXX0iFrlhGRnGPsiMSMfrtY/VSjiW0Vnpw6eC80dBL9kuyIOxhPTTqQP+
RaOQZa/77Sd5CZ1Uz/C4XzUK/525nBE2u4R0Sm7yujeOwiWeq4o840tI+/Te
xJud+PxGson44BLSah05fHVwFNQKjGt6upfQEcu4JvPJUch5erKQ0L6E1MbN
bhgRR+FyLA/JsHkJKd0W+qu3NArRUY6pWxqW0KGlpnBttjE4rLy28OWfJXTA
N2j/Ye4xGJp5HphXs4RkeU6VHuIbg09Xhde8q15C0m84zWS2jgGxKi1JFfMu
kSKiuPgYFF+I8g3GLP7J+9nWvWPwVJBTPR7v33lAVZRPfgyerPfgvIWfvz1v
MZtLbQzIpXYZlPolJET4dvovjEGOcmeiCtYnWG0/TDsxBu/byL2HsH4+w913
58+OwfWUb4ujOL4NPYObxk3GILDAbYcBjn/d1fdJfdZjsJLYJuuI/Vk7Z6LZ
dn0MzjBPhKnPLSF2D8HWP7fH4LHS8M1cyhL6y6p3KPMcAx05uVv9zCW0xKcb
lfVsDIxqzDkkNi0jSvR/B9NejQGB8FBfcdsyIkkWlCdEjgH7rS7pQallNK2k
RH79eQxiRNZcph5eRhMFC8+ffx+DpqHXPYYnltGobpq4bx7Wfy18n7LxMuoz
lTRwrhwDPkfL87dvL6Puob7R6w1joJ9ymfXj/jJqd4j2tu7AftzQVLoduIwa
ffhSDCbGoP3Zh0PM1GVUEs/ikOMah4iyl2bVuN4LZX6+3bVpHH7bnWN/w1xG
vzLdD4kIj8O+lVahAN4VlF02a7VeehxuJCpLNB9cQZ8nu39M6Y6DI48nk3hn
BQXK591OejoOstr5h7KXV1CNQse4e/A4OM1s8ezgZiBuZbqlTsQ4sDkUGyQI
M5Cfuqr+6KdxWDpJeCeoxEAlR0xKs76Ow35WsPLXowzEpuV5+EnOOJA1J/Na
DRjIWztvr2Q5Xj91XTvvOgPlH++II/3BekVthW64MRBNly5U3DoO98llrqEP
GEjplHBwSO84rB10U1Z4zkCup1XXXB4dh2brHUnH3jBQ+hkTn4Oz42DponG3
9D0DzZ/1JLPI41BdVdP87RMDORjnDcVwTMBEWOVwYQ4DJV/sML21fgKkVQPE
Bn8z0LgpvUFDcAJqNc+RrpUy0C5z4RMbdkzApkjzorPVDGRjqVrYIzkBJ2dk
HWLqGSjW2kQ5TXYCOr3KCGdbGKjXxvPLPYUJENL0WmfXwUDbr0ZK6R2eAOMl
GcZwNwOZ2uW93aY9ATwvdv2u7GOgiBsd/FOnJmBunbe10CADtTrQA/LPT8B0
B9OmaYiBBG4JswVcmoCgDyVJjGEGOndb1dPEZgLkN5i7RY0wULCLyfwe+wmQ
OxPrmIb5j5vnNZrzBOT6yAepYebxiOwt95oAha6fssfx/hNeeUbhjyZg2Hd0
vBmf53evo+ZqwAQwrgt+n+rH+fKhH1UKwfEasnKCenG+Hgr/4IiaALfWrU5l
XQyk5asq3xI3ATc3DT95085APk9MPid8ngCzXtFONhz/T39PUdfvE3Cwg+ue
QAMDqbzI28CPJuDtdY6UIxUMdCew48lgxQRc22XFfbmYgTKD6Svf6yegZdjL
QBv7L/dGdcqgfwL++1640zwD+/8+rzxwdQLYMnsVo6MZyDa2Q8NizSTw29dH
Xcf5jo+nZ+3jnYTDCjxiMkEMJPJJNaFGZBJ22f0+E/eIgQS/5T3g1pgEN59J
zrU3sH/pHdSOY5OgznW8eoct9i+TfvPz6Umw2ogajC2wX3mq5rrmk/Aq/+ZH
nfMMdPKHSfOWK5NAi17jxqXPQE9/eZ4ac5iEwNx0f7YTDMRelKfqd28SVq8o
703VZKBUXoGk1ceTMDibcWCdOgMZmt/c7PlyEiLW8e4pwPdhJbniMfHNJNzn
sQmrkWegjzRxkv37Sbjkn5mmLMdA+se9rUcSJ+HDDfZT7LIMRHndVmfxdRKO
FkeRFaUZ6P3AQY32nEmon/XrrdvFQMflXqSeLZyEVOFz/c2SDDR7b3RrdcUk
qG4c8NGRYKCwKq1n2g2TkBD9aExanIE0hKKpvzpwvE27F7zFGGjsCvmK8uAk
3PhbvP0Y5uCMM83fJifh42zDmweYVf5+JuwlTQL3hxX5g3h/vz779w/Lk3Cg
d+LOBfz8p28tdu5gn4KzxZKvSPj8A5O5L8N4pqDsxm5Ljt0M1K7Mv8IrOAXb
NR85vsD6HzxxvPFsxxTwaonS/XF80k3l7Wy7pmDM5dM8BcffKCquc2//FGxe
XSS3HWIgr5v3sshKU2D0KNNSWoWBxH+2StzSnIIsPz71icMMVMV1MGRcZwrc
Bp6dFiQwkPOF5yxrgyk4sLlmc4oOA239OHKz6+IU0NpLGj+dZiB7rahTf65P
gfTNBzWVpvh+BS7m6ThPwWH3HsK4Na7fLv09yGsKUuxmxaxwP+Jx/48j8/kU
tB6b2qjnieu1xNxlX+gUfPnqFZnzkIHM+HIHEt9OAdEx86F9AAOlpTn8jkyb
guv7B6wj3+J8Dre436+bgmDeB2H3cb0Hn02aPMk/DSJq+xa+bGYilRg2k5Jt
0xBxaovrbjEm6p82Kz8iOQ3i9nxbXskw0cGnmxIOKE4DWOt5imkxUeNvL/PN
F6aB+nXLhdhrTOTF01IdZDkNase09q67zUTipnJqXHbTEDZbH3fEi4mcyUOb
VzymgStloWLsORPxy56uH4iaBkH7v+cHUphonCuOvyp+Gn7+pNvHpDPRz7FF
4/TkaSg5I7qBP4+Jrn542/MofxpIG7WofKVMpP5wXtS+aBoIJ3r/RFcx0UZL
bdvzVdPgc2jxfFMdE+VvnZ6U6JwGXatKrpMdTBRE09zPMzgNXcTOWP8eJrJt
fX17cWIaHJKvpzsN4PgzxzK7F6bhxd5aTo4RJlofok4roU/D+4+f4rTHmWjw
VpB62l8cj4sFkptiouzTQz5vuGbA74Nlb9kMEz2XUS7y3jQDjJ+KydzzTGTF
9ZzjqvAMZOy137CywESKY726+mIzYMGjKfOWxETcpfIvlKRnYOeNfcbTi0zU
F+9XJ3JwBvRX9YRmyUyU+aCTb43qDHByPJH9QGGiZxb7jee0ZuBH6Dvv9VQm
sjj8KLJNF59vvU9SDrP81tbuAoMZOJFyzZYb8xqatGjSxRl4alebEof3d7d4
2wRbzcBCbkkgFT//W0ZDoofdDGgUCZdtwPzkldSkldMMSO90kJ3E+kxvee47
4TEDqjwvfrwgMpHc6Vqngw9mQMe96hkdx8cuI5Yp/HQG4jdolh+aY6KOtW7U
v0EzEGK25ocG9uPLaIXaZDj2Y/Rh4Q7sl2/Jdp/GmBnYfeipdjP282K8E8r/
NANrnZKLrowyEZuFkO7znBkIgujm3TgfRi3XjGTbZqAuqrLxRQsT7c34ESHQ
NwNpoZbH7zcyETOYt3tldAYu7F+yvI7znaSXc7mWMgNyu07FyFcy0Uoxp9PN
zbMQb/ZFnf6TiRriTDOMRWZB1TR6eW0+EyXe/0LR2DULu8tMeWVymMhA3dib
V2kWSDFp69O/M5GUcHIh9cgs5PEGf9z+lYmWKIz/+o/NgomAykRCKhN9SP8Y
8M1oFlxf+oYLJTGRRzC9NsJ8FmTUEsrXJjKR3s3Tmx5emYXCmRhZ0QQmEtOL
M7zuOAub04vbreKZiCJNDj/rNguVz2p/1sQyUfWaE12q3rMwU3jq05UYJood
eSsi/mQWFPz5tPe9ZyK34nlr7pezsNGgfJvUOyY6Gaf9kRg6C/1OD1/rv8X1
UdXY9/jdLHx61vI0JpqJKkhWW7ckYv3Oh7/uw7x2x5zh5y+zkODMrrEUxUQ6
x72D1HNm4YOMoxonXve7ta6qtmAW3BK/u5/DXBYRyW5VMQtcT+XC+zBzFO3W
JNbP4vk7ee0XfJ72VJbn445ZGGtL4f6N9fgKaGduHpwFsuxyMi/WX3SkcTZp
Eu9XPlQej+Nju2YlrU6ahReEm+vdcfwQPGtTuzwLYT3rGM+xPw/y7r23ZJ8D
ZBw41o/9Kxzk7ljgmYP6p0ELrp+ZaHVdJP9jwTlQNKnh18H+ayju1t8sMgcL
Rse3G+P8eFtkPU3aNQfJA15fY//1D/+jxWpyc1Bt9fWEVDbuF52WKpZac5D3
xLG45RfuV//NOi/ozgH9gzyefnC/kL2X5nt2DnIPvvK+WIb7wf0I8aTLc9CC
cnTf4vpyT9plrmY/B6n8z9IeNOP735AZXuMyB5yns9YG4v6iKNnAs/B4DqbS
78wJDeP7WMlFVf00h9/XJssxS0x0mxh+sObrHDTe1zHwZuH7t22Xg0XuHBTY
HzFw4FxFcjcJA48q58DvglSuM98qkuW/W109NQeLl3gPV+xdRfaHuTgtFueA
LWXxWOeBVZR8JVxrfgWfF341Z1hpFUnnZmQJbJgH4RHPyFbCKp4Xp2PMD8yD
msUfsW6TVXTFz6tzTmUeBmk6JAvLVZTwda3gI5iHsJfkx8W2q0iCTSog8dw8
aAt4ndxzaxVdlskoUbk0D85zmnQJ11UUbwirVTbzQH162prmsYpEP5m7zrnO
AwehL1/i0SqyrJ/68tB7HriNuw+5+62i93TPCX6/eVh1NnN/G7CKtuuFWaiE
z8OcwiHuCyGr6JKbZGRVzDxI2pI2Tb5ZRVHv05vMkuah6beW8cnIVSS88Ef3
Yd48JF1QRbdi8PprZDOF5oG/r+HG7vhVtFUp08eoah7Ku4cVUhPwentiZEHj
PNQO32NnJuL1u5GZ0l3z0FmmNbz9M17f8aLu9dA85H/jZudKWUXbCn0mGVPz
kH7aKrcodRW9vXybw25xHm7m1Hie/IL1ctiKNq7Mwwu5HcOxX/H6J2P1wxwL
0J/3MKvs2yracfKEceL6BbhUF1L78zuOd1r99sbNC2DmfUT2cfoqEgna/8JL
ZAH2WoXP78jA6wfFPg3vWoBORvSF55h3NvMX6cstwJptLfm1mGPvcPbkKi/A
k6y5wFHMosJ0qrjWAqSYa15u+7f+Y4rvpe4ClKUf7IrDLGbRu49qsADtdRnZ
OpjjWfW61iYL0OT5vKwKny/+odim2noBJIY+zslijj+W7aN4YwEWWs33OGG9
EuNJkTHOCzC87cedMBxPQkB0JtfdBSC1ps7G4Xgl9wXWufgugMgXrW+h2I+E
ugeTPc8XwN26fcQpbRVJObtw6IYuQO5DyyIV7N+unIvq2z8uwHHFqUuh2O89
IPGppGwBLN86q+R/WEVJQ4JF++sWILT0Yog8zt8ev7U9EW0L4Ku4+DwpFtdv
9Qyf4/gCTDo2i4S9w/Xt2L+vbX4BXh9MY+N7u4r2bmzSBTrWox4iFBq1isJk
zAvXcRJh4yUXYnr4Kmq911qrxU2ETS9dY86HraLNf850uW0ggnqSkj4bri/j
nZXjyXxEUP0mWV34ehWFOxEofZuJYE0srA/G9diOfvwnuI0I7TZZnK6vVpEQ
v+KmkzuJkGtNZtkHr6KLtl9E7ksQIXJmXsMraBVFZO2WzdxNhP0uHXtjA/F+
zjjVCRkipArRhPpe4v0Xt+qIHCCCXZCgjgrmi59fG55XIMKes6Su1BerKHKJ
5/JTFSJwyLaOHsHcecrv1q/DRFiiillOP8f1+271HlGLCLd0OSXzMJvOegTs
PkaE7BH1lQTMUZrEcLMTRKA2N775hrkz2P7jq9NE+PBlo1/3v/2Dw+llZ4nw
bdXihDR+vukhi8JlIyIwHU4cDccc/bit9oApETaffv57F9bX3WLQdcWCCCvX
ZGfaMG/fXTUedZkIl56njifj+Mw8jlLqrhJB6t2R9Bgc/9vKn/9x2BOB1Lzu
UDb2hziYfnfhJhHYfUr2tGP/TqwkkXqciYC/uzdtwX7HCsbYV90hQnexxwfn
0FVE2f9mKNuLCCzt9sf/7r+e7vNLH3yIkLjh9UkfnM8P1g+bgh4RIWHllec+
3A8MQh2L7QKIUH7rY3sXrofENBt1o0DsBzG6tOP9KmKUmWRACBEUY9+GzeN6
SqYf+7A1CvvX97T4ysdVxG4p4lvzmQi2CwdijXB9m3oILOemEeHMu6LrbPh+
fH/F7fLxO/aL2BZbmLmKLEool33yiHBk6lu3Q/4qypWuIxyoJMJHJ933NmWr
yHHxPlvoOBGKL2+0zOhbRSXr73g9mCaCfU9d7Mgg9n+3A9FhHusjnPQSHF1F
FSYXB4/RiNDnFb9sN43vZ8GBIuoaEuwk3fH7RVtFHu271IbXkcDifG1B/vIq
qlvYnl7PSwKPTzTlVOYquifJFf95CwkOfBmvvMbOQq3PBh5e2k2Cs08G53fx
spDshza6jgwJDnNJWKdsYiHfn7W3FeRIkF7ltbBdgIUOzOVZr1cmwd6/EmUl
Qizkt/ZbB12NBMtKz1roW1moRyzx7KgGCRQacqOFd7BQgGEIFBwngX/QCa8t
YizU7/g0L+UkCfra/tYsirOQsr/PwQh9EvynePvUD0kWCox1/fz4HAkOOqRm
39jFQsN5N8RuG5PA3Vy9l20PC6k1WUWam5JAa14w1leahV5NG286aUGC2PPh
49N7WUhj59G/4ldJUOloxum5j4VOWrS62t4ggdnLT/4Z+1nI+N318Y83STB+
2Se/UY6FLnevXBpzJoHIuv0DrQdYyHFbcN0edxJMatsaFB5kIQ9TiaM37pLA
yPHHzSB5FnocmZ2dch8/L001U/sQCwW3n9g740uCS6Tiz/2Y327pebf/KQlC
TZ+M2yiwUJKx0yanFyTQSDslXIc5881/T74H4/iyOkjiiixU2BxGI4aS4M3m
AxpWmKv59zooRJLglVtttT/m1nO/+tzekaA6bfReFObBVwbnc+JIEDQcfiQS
82z9UBntIwn0tHk5nmBe4nVXU0smgf3+9GYLzJxnuL/c/UICr8wjObsx8wW+
E/uVToL5XUMF/ViPSO2BN8xsHO9Ta67nmKV5StZq/SDBl4ztWbsxK5y6cO9h
Ac43WX4yB8enFTA5V1RMAvmZV82HMV9cu6ntWA2ut032z6WxP7Y6CSf960kg
ZPSy4DX2z8lP+XdFMwmGkccdKvbXn93i46keEmSzHT32DfufzUp2OTuL8yt8
4u9anK8iTY2xECIJfAI39FnJstAfnwbTZgrWd1Qz/YcMC42sUOHCKgnES9ne
+uB8z6s/z4r4bxGUinUax3E9rHiJSHeuWYQNzbyHTTEL0LU3mm9chLVW2i+N
cf2IqrT7vhdYBNI+Y/2h3bje3e2pfUKLIHpuH9kLs0o284bYjkXYKnnbUATz
UfKr3stiixC21/fQH1yP+gpS5xKkFqF74zb955hNXXJLR6QXIZ1j+rwx5qvp
p1R371+EyuDz43KYnRd6U+3kFyFrZFO8EGafA86iyUqLEJy1bt0mzAG3OEKn
1BZB2UswVhhz2JeINfs0F+GQfEW9POa4GZm7N48uwpK35aoZ5lTZgtmvOlgP
d9yDCMy59ucuL5xaBE752ugRzCXJIy3yBotwKTMiQBvrr5/wOOFquAjLdnKe
WZi79/D8yrr4zy9NPxXsx9i1mANUs0Wo/buhuBYzMVE+QcV6EUJ63hxyw/4x
R0q3eF1ZhKP+H//sx35zS5k8/3F9EVaRgM8S5s2208wVx0VoGF4Uacf52TfI
N3r/ziKIfx25UYHzaTAhXuLhtQhckTNl5fj+Oc/Lx9/2WYT6sHsjLf/yzzxn
YeO3CPk3nh/cgeunncPmsFnAIp7P9nwxwvW1xOOy1ShwEejDW19E43rU2Pa6
9XgYjmcTf/ZpZRayEv+QqRmF87EYL5inwkKPpDNCVN4vwreDJ5hyaixUptyk
vzdxERIeWetpHMH5M+QvX5+9CJcFhLtqjuL6vCTxkTN/ESJunf/2+BgLhVw+
5Lv6axFGdR+eO6qD75/Tec2F0kVwH1W/0HiShSxevs5pblmE2+nKVpLnWOhm
GX9SNHkRbj5WWmVY4X5QK+EXSl+Edfv2keovs1B68yHbl4xFuP/EYijGloUo
g+dF73OQAdgmNeXscD2svo64LEiG9JnrL/67xUKxnAl3LgmTwSC6YeajE74P
6zMNDXeQQaPuVqOmM77P25s3HpciA/2U7ZmLbrhfqgg8k1Ykw/cjPxI33mWh
b5qS18RVyaDkfMnf5h4LNR5XOLbtCBlKxeenkr1xvowM//IcI4NknYvO5ge4
3s1s+zhOkKG6TbdZ9SGuZxvXX0w9MkhULG88+4iF3t8O9Zw3JMNY/4CQ6WPc
rzwSLkxcJIN3t3f2qSe4H93PVBw0I8PdbwVJB/xYiN2/hL/Ligz+0hlTa/1Z
aFdg80KTLRnuiTU/asas+2a4rsaODLLH6B6vn7LQjbeLaaUOZKizVus/9oyF
viYL3MhxJcNK7YrjkwD8fmlDRzk88f4H7WIiz7H/7Ld2nPfG8XLzFidhVjy4
nRr7kAzilnveSL1gIR6LyvrZJ2SIumU4HIp5KOBO8uEAMtz5vJWDijk/R+Jx
QCA+T4XdUO8lfn8M15u3h5DB8BoovsFst8lHeVc4GVpvnhRoxKypIbPJNZoM
8Vvv2fwXiP2zb59EMWS4//pbtDTm2fAnJbwJZJDJalY/hrm0RP69eRIZWHpe
FcaY3y70uaekkmEk7lq1BWZXkZdn6d/IIPZJsskc86lTajI6WWQYVPNzNsQs
7jHG/iaPDMsNylpHMdMTQnsHf2F980db92Kub4DcA0VkEK6LbliHOYk5+8qn
jAy3X75vGMV678u8ta+pIsPNE7HuPzEbXzxxbGsdrpe7t6++xLz/CUXErokM
B+dHwRRzd69B43/dZNi928JgEvuTsY6ZcrafDEv/Uaq/YA5QSXkSM0yGV1Xu
Jbcxq4ZwqKrPkKFKoTSdjP3fWJDO92yBDMGJ6mM5mMenLKdbyWTY+VtE8C7m
sGP5Mc5MMmgmev7ixOzofM2zkI0CA2UvLOtxfrVjBM5vWEOBmobnJ95h3l6D
ZM3WUSAtX5zjJmYS7SZnMi8FSPwmW45irpLa3k/lpwB5SJu1HXP8ucq8Y0IU
UCMjtRVcP57377x+vZ0CVWjf4QHMBqkSjgOiFHDg3+Nag3l3R/1xOSkKlDpd
1PuNmcnhI+otTYEfN1T25GBulZdZqtpHAd7OQdt/nGbZ3iQkT4E64fGLBZgf
v3iSdlWJAuU6uw3rMJvlyftnqlHANDg1ZgzzodE+KzZNCoQ9DfVei/Vx879U
MzhKgS9vFvfIYx7QVBN4r4PjM69oscWc6zA2M3WKAqrqw99iMQdHhparGlBA
MHm6bwTztTKI8zekQH/MuYcK2D8N0qxXy0UKCBcZpr7AvFn0raGEOQXMrnHc
nsU8o3di/21rCrTpG7Wb4HyVeFLWFFyhwDhVfPgP5ujEDwM8Nyiw7YF+0Gmc
f+cmgx+mNymQMNVQ24JZbF/KTcodChz+Tk9nC2IhmslFXe27FOB+Ky36CXO9
H4d4yH0KUDdu/mIYjPtXv2XLvqcU6FVY71r1Cve3E5ox115QYHm6OiAwBPfH
DJHrccGYfQPjTF+zkLlfz4pAJAXuNFyo4XrDQodlL0mufKaApUM1x8+If/OR
2qziFwrw/VY8kBuJ38+rwrm30ilAcAgYzYvC9dHYfmoonwLFMcseNW9ZaNnd
2KWqmgKbZd6rSsTheAYUj7DXY//GJfq04llo8qTgGo1mCuQePdFj9YGFOnc0
R33vpsCRu0tyiR9xPyg+WxQxQ4GyIZcjasl43uM9vekaLxXOUx9U783A84WH
bFcsPxVMyqgM9UzcHwbXfezcQoVLFyRET2Th+SerSkVflAqnt8eOGuXgefaS
rpXiQSqYCa7ff/AHC30p2b33liIVdsz89BT+ifvh/jWLSapUeDdV6rOMefPf
Uv/tBCpUiDtMpPzG/iUe/frfeSq87dPLyEPYv40SnkcuUIF5fHK7fRELjXqy
HXW/hPU98BMXLGahFj3UOmlDBVLjx9pzJSyklx0bK2lHBfjGf2UUc8nOBzcs
HKigL37snnMp9peowWxwpYIOIQhcy7C/ZiIV6zyp0NEyzTmJOaGU8eqYNxV+
T930uliO/ZbruXT/IRXKi2vTCzCHRvyUyntChXB9tuqdFbjfsr2dIz6jQrXx
nkEPzI/t7+bJBlKhTdliWzXmlWZT36shVOiF+HebK1nIRUPtdGwYFfrG015f
wszmFPbwVRQVrBtS94ZhDo4jZj16T4WytzaW1ZhFmvQnXeKpUPfktdky5lT2
FJEriVSQD71wZlcV/h5QWnPeOJkK+2zYr+lhrrhm46/zBftN52xxxGwcWfBD
JZ0K42VFNQGYh6u2zUtnU6F49KbvB8zOK+6S2/Kp0PCNKJeLmbWv+SLPbyro
/ULclZgDLQ+8ZCAqZNvnnG7FvOPVCzRbimdQDuKhfsypRePkvkoqOL1Oo4/+
07OovbehlgrH7ot0T/7TIxVnUdRAhQI+PeHpf3ouMEIyWqjwdX5y7t/68FOT
8oQOKmyOUo4Z+6cnP2v5TQ8VVjY3XB38p2dq0wH/ASq4tL326/qnZ8dNW48R
KmgOumo0Yd5+piri+gQVBK6Y//mnN/nBrlrTGSpcy+e8U4C5fKhX8QgZ50v4
N9fnf+cLqt/YT6fCm1Z+l3f/zj8e/n4ngwqvVO/Mvvp3vgepceNfKiiyf871
+3f+5zNr2DhoYEpyW3/v3/ldKeqktTT4OP9yt/O/89evdRrmoYG1lr3W9X/n
a9gmtGykgVyeQrA1ZhWnwvYyARqMbYo/fQlzWdz29blCNPA8O5BmjNmwyQM+
b6eBj4P38HnMg+wtblGiNGgRPi7xj52UDiY/l6TB0phKlCFm5rWXvff20IAc
be9+EfOLyAm+m7I0GOmnjlpg3lp9TMfyAA1szozz2WH+vBJ310CBBq2NuyRc
/+nZz/wKKjRwu+1wxPefHkvTYfnDNIi/K//kzT89r7KFJLVoILDr47aUf3qK
+E4LatPg8qvwnSX/9CzefMipi/Vpeab9yz9TqjqLeooG1L96fax/ei7snhw/
Q4MU7bgayWqs55mvSOd5GoQPPQvQw5yU33eu+gIN9phFy3hgVppW9/95iQb6
LmMFnzCX7Ij4kWZJA61jy4ZdmM+dWZx7b0MD75+9ZL4a/P38wEAy+BoNlu0F
U/Qx30xPvfjQngbSFbFegZifC15BNi40uHJfx3VrLT5fB5EN3WlgNP733VXM
SR479h6/S4PxYrOBbMwlXS0he3xpkBeTGWnzB5+3Xr5c2J8GF34eWS7A3K8R
uMz9nAaRHWFnROvwfY47bjsTQoMnXw+9msasRdcMPRROgz+1xHDrehbyNVAt
8YymwfG17yc6MXOvykhyJtCgk7tsoaOBhbaYbRoWyaKBzhfJTxzNeN7M4Ba4
kkeDjiuDeyMxv+dm1075RQPhjaQSuRYWksyjfFAuo8GO1J67V1pZSH5zt41B
Gw2yo97YzLSzkJtjy+uwLhqwLL4Lhnbg92nJn+LuPhpc3cI4fLgTz28uSOL6
OA3mC3dyB3fh/lifOPSQToOppcvXNXvx+zXgtk3GNjp4KWkRXgzh+h248Zq+
kw4imzq2HRjG852KbbGmJB3swyfXNGJ2HTOWqJGlw28fW2veUfy9oX14aPgI
HTzbch7aj+P5L1qRX4ZAB4kbEXrLmNeS9h+9fZwOjb28s/4TLBQUJ/aBoU+H
VwH0I+GTeD5kctpstqKD1mPD88+nsd9GrBAzWzrU8ctyrGKWSKMXxdvR4c1p
9p6bM1jfpWlxudt0iK8800yYxe/79JFzbm502Hg/fTgR8wHuvkc/POngMTi/
wjnHQjm5DYM6j+jgvysBfsz9+/9ANV+gHx2UXWydeefxPHGthNAcgOOX8M+w
xFwimBNv9ZoOTj2bny1iXuv4rTExnA67v+xVUF3A82rJZ7aZaDoUHm/a7oW5
0fntZc8EOnS7vZyaxywbwse4k0SHjFOffCSILPTk+9Nw11Q69GxtX38ec289
86DzN+wvT1nqfcwq8641tzLpsFPKzukz5hDeqauOuXRQWEe9WY95er/13xs/
6eCn3lOwiDnG8bTS1RI6ZD+Z/6FIwvPJi+J6mwo6fNx4Ifoc5nOpqvbWNXQY
3X5F0RFzavVXDst6OuSnP0x8gplzSirWrJkOply9695ituJ+q2baToeqPTa+
3zDnSfO1XOim/19xncZD2UUBAJ8ZYxb7nq2IRGhBSOHeZFeEpMVe2UohqZA2
RZSQSPaKKJQtS2XkpVKiIiVRVCpJJJrNzHvm4/838zznnnPvPfc+6Kpn/rJH
YCm7s2Huw/9Q397qxa/BoYFcquvoP+QwYXFuBNx+JvKa89g/FGu8+cRv8MKS
7+Ybx6G+qS7aXHB0u89bh8l/aGzDeAH1D9Trc1+E3Z9/SK6fRJMB6wo5idnM
/UPrzfNPq4ATNB6VWrH/oTcuXYZLwKb+lYMWJCb6piR11wicdkIzeh2FieT3
TjHWgscLc6TMRJhoWnzg7HpwwfAZm9UyTGS8vqjZGcyc53w0UGCi3z/+BXqA
XRdGxqxUZqLG3cscvMBkL587uhpMdNn8iM5esE9sn4POUiYq8q/xOwhuuOr4
RUuXibykP1vHgaWaW+M1VzDRQ7fHU2fAoQMmSosNmci7yOZ4GridWVG7yISJ
bsXvFckDL1LUdFZdy0TZdz1vl4GPmOZ8V7Jkop+Sq2PugV9tlTy9wIqJ0sV0
UzsE9Yg+s1Delokc3m6bfyOox2VOg4wjEzmt7frwDTxcF+Em5cxEhzWjMAe8
pu/bhLgbE7WOqK6TmoH7yYx3ouhWJnJXDB5eCv4p07eYvoOJVEMer0XgAtfW
reQAJiJ/Cd5xCMwMN5kmBjLRXEDomktgt7SKFH4IE30U+UOuBQv3XGllRzDR
vnOa6Uywz6TETuYhJuL4+/kv+gv3R/Ezs7NHmehiqt16W/C+jRG60yeZKFhb
dkMe+PHeb+2TZ5hIKtpq7zOwWoq378Q5JorKqL/DBr/udMj8ls5EGj6y5/1n
eQwzOw3eUDET9b8vtbafg/Ph+rOkJyVMJDd9pPMMeAU/Ura6nIkG+ArGHXOC
/vifTkI1E4lHRuY5/OMxRLX3uOs+YiKTIMrRICaPMUQpK4v+xEQ0+pDiTzbc
fwM2G/l9YaL2mS9C6zkQv4X50OE7E3UpGX3LBj+OduhVnYLfvTRs7bk8xp2x
8fk2PhPtqnijXj0P/f3xcndJNRaqP7+tKI3AZ8Rp9A8xNVjo/n9aayfA0fHx
waNLWchG5HeMHZHPCDXpOVa/goXk6suLuGD30vCynZYslMp28PIV4jOcSUpG
NlYs9Fw0T/Qe2N7n0cMVtix0/Ibec1Eyn2GuINNLdGahdbpWZnVgrbO18ze9
Wei07zKdf8J8hvrozqR0fxbqpvlXWFP4DGVLsmzsHhbyHN7WnQaWmNui4xzG
QsVdPYwlVD7j3545t79xLORRdMJtLY3P+POoYGjoBAttNdRoigVPLLQLfpLA
QpTP5TH3wZ/eZB+7ep6F6JMHuMZ0PqPTxqwM57GQst/S2woifMaRJ/ErjhfB
840/xpzBOg7tdQ9vsBDLn6JxBnx2o8ujtZUstExUofgn2KQ70+5oNQtlxCn+
UhHlM766vH/RUM9Cl3Ym2TuCrd33vF/dwkKd4RIOxeC/fbf8Drax0DVLzOsE
X986NVb9mIU+ZFI/T4FJO2JnVvSw0JmtaXvMxPiMmsHWo2G9LFSod055J9jf
m0KoeMtCJxkHl8eCW/3SxZZ9YqFTf4k37oHDR/szgr5AvAUvl7wGq+1WVSr9
zkKR93osJsDxQTe1NKchH++Ao6rifMaKHxO3/Wch3yrGQ0PwUKihYRGLhSpJ
XUN2YPP9Dy0Xktio88I61n7wxG9Sx04KGz24kqN0EpwbYe90VYSNkmITfDPA
7KhezwWybDRHu1ZWA26I/REuvYSNInTVXCbAgfMr/rnosNGKvDVNLLDC8ahj
qfpslJM+8pkiwWdEneKfEzVmI4KUzxN1sOE5+evCtmxkb+v1agt4VGTnMmtH
NrrGWOAUAE4/X3TnlDMbSQipLQgHT13Ue8Dfyka4r/HbeXBV1vo3rCA22sRI
UnoB9lFM3LlmHxvpO6m+HQaLX+0aiQ5no7WB4zunwfvyPSdnjrCRReT7H4qS
fIaqWn6U4TE2ck9Opa0APy8aZYefZKM6kRwla7DujTDq5Dk2MizpMj4Ifq9V
e0E/lY1uvyvcfB587iZTdm8GeF7xWCn4+63T6t+vstGJuL7Fw+CS6hyz0dts
1HooQWKnFOwvzk7dd3fYyKVP8mMMeJXNIpXuWjYqCyXW5YIfvLvGbbrPRrkJ
jJBP4F7+bUb6czbiH60fPCTNZ1xx2H83sYeNSguv38oH+1xaVXysF+arZWLf
Y/D40vpTIYNQ/zDlJmUZPoPo3GKz/icb6Yaf6HsBfpx9wsT0N+TbeLyUCz4/
YqW9fIaN7JbartOX5TMUDz2hKXHYqObOugsXwCvzXj6fEuGgXhHTEU85PsN7
fNS1SJeDFBZe/0pS4DM0VpdYZa3goFUs4ywz8PdjQUbnDTkIq3WFhYOjpCfk
jqzloIvNtwKHwSlrZt+6OHJQjpSya/MCPqPpLNWHH8JB7xe3jAYrwfp92ek8
G8ZBNenP5fPB1srn0c8IDtqqLNH9EvyyUmrx26McZJRSUWGizGd861P6UnWO
g1wbGuw5YHlN/VCfcg4qFJfcFKDKZ6RlpGwtr+Qgqsws4SJYhPTT6m81Bw0o
XqlvBhNGylWSmzmorC5MTnIhrP8C7Rf1zzlowYDugdvgIInEJsJLDppU7f/Z
Ax49Nlbi1MdBUwORPjPgd14l8SMfOOhj2Sld00V8Rruy5irxSQ76VUguqAGj
5FOq2/5wUHx1CKUH3MwaoV2f4yDn1k+x4+C774pG1vA5qHHy1LVFanyGnj2h
+7QQFwmz/vmYgksbfJu7qVykxqEjF3Be1qJLu6W4yHTbi4Q48AJK/PE7cly0
Uo3BTAdnHBray1bkohOX2itKwUlb8qzTFnNRceDXvy/AUTLKc/cNuainL+KP
nDqf8fvk0VGKKRddOtnqqgUOnX7X7bqOiwKnK0yMwX4vs29+28BF+47aNriD
N6bKb5f14CKVxx+KzoM1RaQfhB7mojfGxafmwAVHw8vqY7lIPhg1CC2G9fSj
J5NwgotuyM1RpcEST1PDspK46LSNrpo+mH1GTK0th4tC1pcT94APze4VFS/g
ousBQbMHwVO7n//zvMZFWVqp60+DxzYkv/x1C+L/V8u5Bn5NpJ1SesBFZZGD
ad/Ak5U5PptbuWh8pv08C0zfobcusZ2LfBKukcU0+Axc4/z3bxcX+cV2RxmC
qwIuB74c4qL/tOxzz4CfSWhvoI5yUcBw8cNc8NfmRjXLMS4qWPt7bw1YVfbD
u9uTXGRY2RA2Ak75T8Mpkc9FnUbaXBtNmK8DddotQvMoZuN/0X7gNhVb8ix1
HqlcxodjweyDIQ8DpOZRjW47oRYcvOTuSsvF8+jEZsUx7SWw3s9YyM1azaPd
XQ43tLSg/gY9U3p282i91uFPtuDYIb8XAU7zqJTu5x8MrjFOOPvSfR493JWr
XAFWH3vGvL17HrUubOowXspncG23DQWcnUdPxYPLNmrDfMz8aMpJnkcrJ+UC
DoCNCmOzXqbOo/PlP/jp4NB/BS6W2fPIuq7mZT/43c2vj5TK5lE322aZjw6f
UU87WPqycx6JbNpj6bsM5iPu5K+WF/PokXtBYyxYcfri6spX8+i206+32eC4
gYq2cwPzyCVuF6cbbH1rbNjqxzw6m+SRtUYX7h+LZrUMfs0jp+UtTFdwWYZQ
mNr0PPJijv0OBYvGqnM4zHn0OrQiOxf82mnHgnoaD4WfT67/Bya3BvtcF+Oh
5GbDEnE9OK9XHy5Jl+Ih1aI7SzTBV1UzjfYr8hB7sXTfRrD/rxcu2jo8NKfq
Tc4FZ/h/yJLX56F1fh4nK8Htb8aHhFbx0IUxp0wGWKeFuu+TKQ/ZDTucGgVP
pa5PyrHjIeXOBdWa+tD/hDb3JDrxEJ18VNIIvOWwj0K0Cw8ZR6fLWoEbfWNv
uHnykG2KygJf8PFV9a2iQTzUuaFo22WwxGsd1rGzPOTWuzFyFoxtTfG+ZHjf
s44UwnI+I7LZJnFHKg8ZyT6KEwX3XwuQN83iITkNyxl1cP7BPIOpEh4KWLU7
0xHc/e3WkeFyHnIMGH6+BUzwamJ0VfKQSXj9nA94t3X/pvJ6HpK24xsdBGc1
fsnMbuKhxTylTcfAT/VnBs885KEfNcOBiWB2EVEz6hEP5V8/kZAO1peXCg3o
4CH/G5rlueDfqXNyRv18VGPv/qbPAPrn1KK25e/5KPayVMF38Lib3QGdYT76
6uaznQv+onClc+EYH2XqpxRoGsJ5WmAWT5vjI+WYzVoR4ADPlplJEQK+UkX2
phjBfCW5OU6IEfBv98AtimC/prGiHxIEbFoToaYL9laRdP4iQ8CvNhD0NoG3
ffQtG1AmYA/bitk08KYgone7LgEXfXqYLLEa+teVy7WP9AlYezBq/UKwY+cy
EcYKApZdqsnQA9vruTU0GRIwyVJT0h5s9fua9J21BJybH0GOB69XNw2uMCdg
7zrR2WQwdn3eUm5JwAeZK6qywRa1M3tvWBHw1/bNcXfBaw5bP85xJOAY+7rc
j2DTsneq2RsJ+PPjR5/HwSYD+w5mOsP4NAvZs2CjdZfVL7oRsMG+RTmixnB/
43+NSdgB+T071rwarJmYuPJAKAFzx7ktx8GR/avjA/YRsHPW3YAkcKvWaJfH
fgI+t/XCRBrYp9081DySgP2fzTQWg68S/9ygxxCwho+DXxtYJs5L+cY5Aj6/
g2xPNIF6P6eHZKcQ8E9FDzodfFe5oSH5AgEPtEV1SoGdm6Q9ItIJ+HV+t5M6
OHnu8UXLHAKOspA7jsCkCAPhgTIC3nsxoe442LV12L3rFgEH1LzmJIKLJM9f
Y1QQ8BGH/C1pYMuqMVR6l4BT8t9ZFINjfubGHGwk4MZfcaR28J89lCnxpwR8
OLX8sbgpnL87Bt9bfYP4qzM1a8FiFp43/X4Q8DaFUS0G2Fit92D8TwL+FrHP
8jk46fMzsebfBLwht6LqM3jlvmZLAyYBj1xqCpdfA/3pWM41NToRp1lPJcSC
5Ys8Q7m6RHycfNLMwQzGd6rXRHk5EbPU9Ls8wMG7XYTWrCTiS7PiLgHgBzp2
eQeNiDiuVWZxLDig2qR7fB0RS+9YOnAbXNUmbziwkYizK4700NZCP72Rzptz
JuJWd82/smBiovhzOVcirtct5SwCb3ES3r3Zg4iT49yqV4M5vX8vP/EmYjWz
qgofsP3XXlb9fiLuKbhXXwE+ppcaeyeciOOlzZzqwTUR9vNlkTC+ywc6HoJV
eA8IedFEbKb+JLgbPKlQSj0VT8R0sZjISXCm/RF551QiXvnX98uydfC9lGqY
bZdGxHyxUxOrwLy+CcX1GURcodD20RQc5O+vujqLiFuWkpJtwGtjHDWVC4j4
u8sqvi/4021Vg7FKIs49RCRngOX/9Nd8vAP17fkldgXsuCZ99UA1Ebc5fRMt
ANe2C6/pqifiqGeTk+Xgs0OTljUPYbwzld6PwPqSjzbGvyDin6+3xf0GH4nc
E6zwi4jVvZMXbjKH+XWaDFr7m4gDK/Wr3MHZSw4H+UwTseTnRvsd4Hv9SYGl
s0R8oORPXhB4Zm3FbhMeEdtcHek8Bd4vNOO3VZKE5Ra92nEfvCvzxPYsAxKe
bKv7tdoC9lcYfXuzEQlrUyL7zMGnbDO2DRuT8FLXz4+swUXM655L15Lwx4wf
VVvAw15PPO5ZkXDpaX5bFHibloRbvzsJbzVW8qwHO9/LdVSIJuG3RheXrLaE
9TQTwJc/QsJbTHs2rQOfXqVbJx9DwlfvNIZZgRtvNS6Ujyfhe12L0jaDNQrf
TMmeJeEQFerWfeC5RMls6SwSPmQ2d7MYLNXR7yR9BfIZ2aVYBtYjFRCkr5Lw
r+ndsVVgvzj9UKkCEh6kFCreBz8Ld7CQLCXhJAdc2Qsu2H76s9g9EjYkHzch
IYif5XhFrJGEh9ncp1Rwb6/0JrFmEpbSfbpJHExzLron2gL/d7u3QhEcafXw
nMhjEqYseOC6HGyr928lrZ+EH87ds/YAT3JD44TmSDgBLyvMB2/f5rSM9Y+E
Hygr9RSD22v1+idZJNwbV8gqAeeETqx8P0/C3xlVqAps/S7s811hIXxvw+kr
LeDc2nBHH3khnCJW2DoMtg+NVmxaLYQv0S26F2E+o/jtybr9B4Xw3pLJuVLw
WMeqj6mHhHBDRP3L22D9uo/0O4eF8LO7WZV3wffSLHx/xwph+UhSeDO4y4FF
D08QwvjROZluMPN+uG/EZSE88HR/8SzYuchXJKpBCNv60jZar4f9lCphnNkk
hFXmy9UdwANxD33r7gvhJbLO05vAu7er1P9lCOHdbx+e8QQflXnre+ipEM5y
8DoUCr6R4FwfPSCEW5eRbC6C2cEWfkc5Qlj9z72yXrDjfV18aF4IEzmiIW/B
ueKK6hF8IRybdFhjEGxe8+djsBAZJz/PODEKjufc9N0mSsaXz60anwILpcr4
mqqQ8WFd7xgxK+iftd+8Z9eSsTwLiyCwl/Abi2lzMr4fEkuxAld6ti38ZUnG
3qPaPGuwMzdv6IsVGU/f2/nJEZxm4+bd50jG1Y5fDm4Fy7174FW7g4wXHOif
3QdeOJ++MyKGjDc4J3tcAY/ZpTyjkYXxjrwz+7dugH7p5KeuRRHGAfor/beD
h5yNo9fThHHIwlQ3L3Cfx8fFMWLC+Kk2zSAA3LbL6OhPOWHcKGv8Pgycf3xQ
u1tLGH+psn+aAN7SoHfmkp0wFhl5FHcX/LKZMHjHAVxUpVwLdmp5s6rLSRiT
HvfV1YOtOo5/IG8Wxm0hN4aawat6e42it4FnvAgdYLHfsaPbQmB8XMkz78D/
Le1Ci1KEsbl5/jku2DH1o6PCBWGcP309gSeIN/vHQ+KiMM71jI0jWEM/aFfa
x8sQxmvWtAWQwcyAoCvDV4Uxe1+3iBhYv5A0XXBLGFvUv3utDM5aYHZN7Zkw
PpEpWWACDqWVkhfTKVhM9bRKKPg5KenCBlEKNjuwtmev4Pn5EIVAcQo+K3vn
VBj49/RyndvSFFxe+et7ODhqsN7JWBl+XxlZexh8rKojw0GPgi3mk6zPgNO2
fFWP3ETBrx4beReBp52flGe6UPD3gNvi18BuDuWGDa4UbNj45eF1sLxlmDXX
g4Jrik4uvAm+qj0bdNaHgk3Dst9Vgm+wyXeuHqDgkp5Zk/vghqIlFv+lU/A4
/bzrG/ASvnXso0sU/KFkeXe/IL73nibGZQpOPHzJ4R04WLnU+EEOBb82SDEf
BCtnaq+oL6bgCzwnmRFwXKKu2s1qCn47eSh6Amy1fxUx5RUFfw00+0u0gfO2
azM61wv5HBI2FwKr6EUcS3xDwea5/SfJ4L/fqlmnByiYL3mMSgWX+Bv9iRuh
YMquHLYomOZh8nn/NOQz2xovD+5eZ97hJk3FeckN/KXg5MZDHFtZKu5Y1kLU
AdsZ3zFYJ0/FpIMTxGXg1hUaBZpKVGzW/oKrC65dTDv8V52KI7VFh1aAr1D7
dLJWUfGuElknE/Cu3r3nB1yoWG/YiL8BrL65pO2FKxV35r7qtgZ/6BpmPnKn
4vVFBvk24K2PXffc8qTiS4nOJnZg+yZTy1hfKv6rdXmHI3hFodCU6gEqtjem
hm8GM0Nz3f1Sqdhl2GJ6J/hizHXq8TQqfnNeucYLvDT59v38DCqu7DeK9AZ7
lN/XHMyiYmft5VM+4JpvgzMehVTceqnssz94327VTKe7VKxRVnE7CPzJO7/P
5DUVt+zs6I4EHw4rSfLoo+I5zZC4g2CJY5XmUf1UvKDm9LIosEXewxvV76m4
zkr51CHw1fdDUfqfqThotlr/CHiL5yJ5jb9UHKjkHHgM/HRzoYe4Ag03hBt4
JYJD27+2UBVp+HOZxE+Bxdfo65CUaXhinenRJLCbWhN7biFY1e/SOfDgr9eF
n7RoWP79k5YU8GQyZbzWmIaXepX8vghO4210rzKlYa9afkQa2Cjy0oMyMxr+
Oho7I/CR7eoX8y1o2LizZyYdTNJZuzrRhoa/ixT/uASW7wiL3+FBw01hQzez
wY1r6r5t8aThT9vXqFwB76hgb3bZTsNLqtIuCFxwKVHT2puGLz83OJAD1gko
frp8Dw0fXERamgs25/fJEA/RcIpkoF8BeDhSJY4TTcPVkk/bBD455v919ggN
d8pILCkEP34x2TAeR8OF6es/C+ySR/PuS6DhvD3LthSDA8zMb97MpGH/X5b8
6+CQXy9mP2TRsBuhbtsNcHixr7VMDg0vq2u4K/Bx+umRuHwaPiwb4lUCzhvo
VHErpeFkdsi1UvD1CztDE8to2Oyjw5TAt9b/anxwi4aFze+Z3wQ3lUtt1b5D
w2L7Vr8SuP+oZxq3gYZNpju/l4GHlv8YNmim4Y1HpfTKwV9GYpYHPYD8hr/s
FXjGoeDZq1Ya7nmy5ofAUspfyTc7aTi9Iuf1LfCC7mj3D89p2HT/Tvpt8KJT
tGvS3TScNVFlKfDycT0U95qG55PFSwR2bI486jpIw6sX3/erALvuJz89O0SD
/ap6XuBtGlkKDz7ScNBduXsCByU31S79QsPuZV3CleD9lk4krzEaHmdc0BM4
+s+HzenfaXgk9ruLwPBtNsmZoOHY1LBMgVMkMswNftOwgUlOncAZbZopgdM0
/FTTv1fgYl07nVezNFy0+alYFbhs+F00hUnD/I5gbYHvZoR2rGPTcOjETSxw
C/tCQCmPhumnyQcE7qhSqx4k0PFlgmaCwF0B1XwpITpe4DCaLXCfwgZnW2E6
Luy1uiXw4LO+vFgqHS+Xsrkv8Gh84M+7dDrmB/14JvC4IdNsTJSOi81XDQg8
PXYuSUWCjiW/K40JzLyq8nazFLzvQem0wHznSq2zMnSsQX7LEZgihKLuy9Fx
CuE2+Y5gPza8bJtSoGP1nxpiAsvtDZBeqkTHnX8tZQRWUfvru1OFjqF3KAis
0XumKm0hHQdzdykLrJu4YL5DjY5VV4WpCmywrtyJs5iOFSaVFwr8P1xnLkk=

       "]]},
     Annotation[#, "Charting`Private`Tag$18800#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJwUmHc81W8Ux/1QpJRRNGRWopRshXNTVJIKRWZUCiUjo2goSoUkszKSZDRs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       "]]},
     Annotation[#, "Charting`Private`Tag$18800#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwUmHc81W8Ux/1QpJRRNGRWopRshXNTVJIKRWZUCiUjo2goSoUkszKSZDRs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       "]]},
     Annotation[#, "Charting`Private`Tag$18800#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwUmHc81W8Ux/1QpJRRNGRWopRshXNTVJIKRWZUCiUjo2goSoUkszKSZDRs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       "]]},
     Annotation[#, "Charting`Private`Tag$18800#4"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, -1.9545127045556732`},
  CoordinatesToolOptions:>{"DisplayFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& ), "CopiedValueFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& )},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0], 
     Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->FrontEndValueCache[{Automatic, 
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0]}, {Automatic, {{-2.3025850929940455`, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.1\"", ShowStringCharacters -> False], 0.1, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 
       0.}}, {-0.6931471805599453, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.5\"", ShowStringCharacters -> False], 0.5, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}}, {0., 
       FormBox["1", TraditionalForm], {0.01, 0.}}, {1.6094379124341003`, 
       FormBox["5", TraditionalForm], {0.01, 0.}}, {2.302585092994046, 
       FormBox["10", TraditionalForm], {0.01, 0.}}, {3.912023005428146, 
       FormBox["50", TraditionalForm], {0.01, 0.}}, {4.605170185988092, 
       FormBox["100", TraditionalForm], {0.01, 0.}}, {-4.605170185988091, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.912023005428146, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.506557897319982, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-3.2188758248682006`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.8134107167600364`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.659260036932778, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.5257286443082556`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-2.4079456086518722`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.6094379124341003`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-1.2039728043259361`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.916290731874155, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.5108256237659907, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.35667494393873245`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.2231435513142097, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-0.10536051565782628`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      0.6931471805599453, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.0986122886681098`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.3862943611198906`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.791759469228055, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      1.9459101490553132`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.0794415416798357`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.1972245773362196`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.995732273553991, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      3.4011973816621555`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      3.6888794541139363`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.0943445622221, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.248495242049359, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.382026634673881, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      4.499809670330265, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      5.298317366548036, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      5.703782474656201, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      5.991464547107982, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.214608098422191, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.396929655216146, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.551080335043404, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.684611727667927, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.802394763324311, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      6.907755278982137, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      7.003065458786462, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      7.090076835776092, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}}}]]], "Output",
 CellChangeTimes->{3.8534875439060616`*^9, 3.853488338645147*^9, 
  3.853492217790327*^9, 3.853492254756855*^9, 3.853492330072485*^9, 
  3.8534939879892693`*^9, 3.858852904478517*^9, 3.858852962838209*^9},
 CellLabel->"Out[30]=",ExpressionUUID->"ba41baf1-2ecf-44d7-b30b-e52142b430ef"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"csPartial", "[", 
   RowBox[{"energy_", ",", "lPart_", ",", "thetaCos_"}], "]"}], ":=", 
  RowBox[{"0.01", "*", " ", 
   FractionBox["Pi", 
    SuperscriptBox[
     RowBox[{"momenta", "[", "energy", "]"}], "2"]], 
   SuperscriptBox[
    RowBox[{"(", 
     RowBox[{"Abs", "[", 
      RowBox[{
       FractionBox[
        RowBox[{
         RowBox[{"2", " ", "*", "lPart"}], "+", "1"}], 
        SqrtBox["2"]], "*", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"sMatrix", "[", 
          RowBox[{"lPart", ",", "energy"}], "]"}], "-", "1"}], ")"}], "*", 
       RowBox[{"LegendreP", "[", 
        RowBox[{"lPart", ",", "thetaCos"}], "]"}]}], "]"}], ")"}], "2"], 
   " "}]}]], "Input",
 CellChangeTimes->{{3.853493468282187*^9, 3.853493586909699*^9}, {
  3.853493642630621*^9, 3.853493675863988*^9}, {3.853493775700438*^9, 
  3.853493811435296*^9}, {3.8534938949304743`*^9, 3.853493897910325*^9}, {
  3.8534942524958057`*^9, 3.853494310964809*^9}},
 CellLabel->"In[31]:=",ExpressionUUID->"ca70aec2-1403-4fd0-bb53-d55303e04867"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"ee", "=", "5"}], ";", 
  RowBox[{"LogPlot", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"csPartial", "[", 
       RowBox[{"ee", ",", "0", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"csPartial", "[", 
       RowBox[{"ee", ",", "2", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"csPartial", "[", 
       RowBox[{"ee", ",", "4", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}], ",", 
      RowBox[{"csPartial", "[", 
       RowBox[{"ee", ",", "6", ",", 
        RowBox[{"Cos", "[", "x", "]"}]}], "]"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "Pi"}], "}"}], ",", 
    RowBox[{"PlotRange", "->", "All"}], ",", 
    RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.853493594513134*^9, 3.8534936264705887`*^9}, {
   3.8534936845655823`*^9, 3.853493726500517*^9}, {3.8534939385756073`*^9, 
   3.8534939390018663`*^9}, {3.853494072633522*^9, 3.8534940805368156`*^9}, 
   3.8534942898885803`*^9, {3.853494328640461*^9, 3.8534943657957478`*^9}},
 CellLabel->"In[32]:=",ExpressionUUID->"a099f556-b302-4e0c-9958-dce54cc805c8"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], 
      LineBox[CompressedData["
1:eJxTTMoPSmViYGAwAWIQzbyf69xj00K7nCe/9iVv/bo/KEfy1oxJ8+1h/Imf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       "]]},
     Annotation[#, "Charting`Private`Tag$19103#1"]& ], 
    TagBox[
     {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], 
      LineBox[CompressedData["
1:eJw123k8VN/7AHBjmxkSM2Pfd7K12Sqcm1RCSqGELCVSn0KFkCWSKCFbsiVb
tNm34iEKUYpCFNnXse/b737/+P01r/fr3HvPc84955nz/HEl7K+fcmBkYGDQ
Y2Jg+N8vUxXb1341V51TmT7u/V1EkBmtPCD65ARi6T87MYB79d3Oi51RNuho
VNvxUdx5i+gn5Y0jwsgzCdO4B7mdloujrqMn/u9aV3E/FKjneFNxAx3j5l0m
dhMhU94qheGNB5r8KEPixw0a07tOp3qjALcBJkXcv48E1WRE+aGIoTPjGO5V
hW0KPjUBSKExuNIC9/09v9wyKgLRUo7nnVu4ufenVnwtvId0VtXko3E/P+jM
vPz6PurbVl9ZhFvlmOpxiawH6KHQvoO/cVec3IwxSA1DCbrRbwl/iPDTJkou
Keox8qvcd9ICd95eFc3+ugh0tSr57gPcHhpPuj1qItHqLqnn73EzI2uZ5xVP
0MPQhjTFv0Ro1K1pUCuNRvqII9gRd+QRuWuNhTHo+GaBWSZuUeOZ4rnXcSiN
2bNcqYcIAybmliE58YhXq/LETdy5ZhVbwllP0eHzZd8rcWta39M/kvoMRfEp
JFr1EuHUVYHf8VEp6KHzy+MV/4iwTRNVxR5NRT8/6hkK9hFhusyV8q8uFfWX
XlD3wV384VfRrZrnqK8j/ad+PxEO1aVuJle8QG7r7w6wDBJB9mjrydF96Uhn
uSfbGzdbA8uLvaXp6HV5AvMC7pYm56P1hRmovVE/ZHqICNZtqhEzr7PQ8cNf
a9lGiYCZO/YdUMpG+qcSc+JxS3c8VQ3OyUYHxTX9d4wRYaxrs0Mw6yWqOxC2
dnocn7/+egm91Fz0VzJfo2kSn59Zq4LYqLdo/9n4mWNzRHjEk6AFHO9QtXnR
LO88EX7k3RNTO/UO2a3vvTKM23LMalC06x0aHg76GLVIhGuW7K6zE3nIt5pJ
kLZKhGhtp5CnXIXIgl86q5xAgs7O01e2mxWisq47elWMJBB1R8aBTwtRePyD
85+ZSJD1hpf7P8kilPdMk62PhQTlYnUpmGox2vrYYHCQjQQ9BMmS4TOl6OHR
0i9ZNBJIJ3MkWCWWIvoT0YsD3CRw2r/i8723FJmS2v2keUkw69aiW3G5DGmb
8Bx6y08C5gHfr+He5agX5limREig8KlrUC3lPRLbyzfOt4MEB+oM2HRvAGLZ
XT5G1SUBV1vmN40ngDoEDE6mHyLBQB9jjHIBoPSPrD81D5MgnKFCTGAOUFkc
n84VfRL0HVBUm3arRmqOxkkLxiQIyWe3TXarQb8/eJGfW5HgV0pT0aprLTL2
2pVq7kWC3Dfy3tORtSitXYpw3IcE/h+CsKG8WmQitP7kiC8JdnRpffk+U4uQ
NeHUobsk8OF93ZvtWoee3FbWvRBKAqlHj9jPuH5CJ5QfP9J+RgIXL2O7Apd6
ZF4GQ7ZVJDC4ppVNiqhHQwTJlfxq/Hp7hSnrt/Uon2CoSqrF4znGeodEr0c7
fnDIv68ngbZAZbz1lQZkNHZSyOAHCdhKlVuIlxqRTmXTwOYgCTIWtiEryyb0
roFt5DsnGXxHV+/leTWhUJGdr0KpZDj7Z6SJNaEJZXpeLDzCQ4ZtdbXn8jqa
UN/5T9H1gmRwi/ZxZzVvRofNae/mZMiA7Z14/e7kVyT/cFphRIsM/5U6hDNK
taCz786fNPmPjOcHE3GCagtSDOeuLnUhw3SnVv6WXguqzvPcJX2TDDfXaL/W
L7UgZk0ahehNBi+dGpGlnBZ0fTGQcSOEDMG1oq/H93xHL1tuLuRkkCG1pf1L
m+4PVBQpTBHsI4O93Ufr1tM/0NQJq5PMQ2SQmn0z9f3iD/Q8ha16dpQMmbRg
2rfgH2iuNl+7e4YMr81VLRsaf6BDR+t+/iOwQXl3xNiHU61IJtqHt0ySDdpG
jpGz7NvQ3C4WwQxHNph6Kn840K0NiYlFDzddYQM2Q2KAzd02lBR5IXL5Ohtg
r2uX+dLakAXTc39LTzbIdUUjIf/aEPsH+c0TD9jg7qrqZ2fbn2j5Ix/jQi4b
7Nwmfk/l/C+0nDzArzXPBqE7FxmKLTqQMiT3qESyg5fHMcUh5w7kohMj1hTL
DperEs14fTpQkeWlu9cS2UH/xKEc9+QOpMm37UNNFjsQr0ec1ujvQH7qz8+/
rGSHoDcKmaVXOxHbKy0Zt0l28FW2Mazw+43MvTAH8olt4KpYHwMZ3UgnKCtb
VIoDBhwG/FOLu5Hz/baGrR0cYJ7KcNX/cze6fJGrYWgXB+zn2aeLjXYji6Pm
Nz7pcADj1kt6ldIf1E2RmG86xwFRP8KOVhX8QZtpiVmrTzgg//aJlQ/VfxGq
vHRnlW07rF648ubPtV5kmd23VrSNE2wpc57v3XuRYCEPezo3J9RVeh165tuL
+Gb9HeKFOSFCILTjbHgvMlTlpUYrcYLct2zGtte96HfM9FC7ESeY7h8yb5zo
RYFTV+/FhnPCGy67rWLnf+hiXML8Q3YusP9gfjLiUh+qlbsh2ZnMBXuK+akC
1/vQHbZLb4TSuYDx7e/W5x596O3phVn7l1yQlnr+TEFIH2KM2/d+q4AL+gIv
nf+V04c4NXfT3Rrw5xm4XxWe6kNyd0un9BZwt8eEZHv0o8tCT3Z8PEmBPS1n
DHb796O+yNlH2eYUYGwQ2FYe0o/QHMXjiRUF0sqTHn952o96prcv3HaiQF9S
Riy9ArfQMbdQfwrYXyxKV2UYQLNe4QjyKHBhpg0gZAC99zBLKOOngq1XxJnS
iAF0zlWEgS5KBSsmI/rb+AHEutUqKS9DBXOej0Ip2QMoODqh6vVuKujvy3O/
Uz+AlJfrdLYMqKAS8EhpP2kQjd7Z21njS4VlriPxBfcH0cUscT2OcSrMPyXs
zH08iDibK9LZZqkwI/mhLi1uEBXZ3JrZvkKFMVXVucisQSQ7NOatRKTBn7OS
xi6fB5HVM87o91I0qEndZFImDiG97OQ9B87T4OGukuuZwUPop5um8bZOGjTu
aR+6FT6Eph5FKrT30oCktmR9OHYITQ880MsZoUHQPg2jgYwh5M6o8t/lZRp4
65bIS9YNoRszA9rH+bnB2bTkXxLTMErWs+outeCGo54lp2P8h9F7w8C3Cf3c
EOTV3ngxZBiVaKsPPZrghhqfpYOqEcPo+2/XxLAFbtAJ0NjVmjKMaOrLPZlE
HlAPLdlGqRpG+fPLOjZKPCCdWFL3cGMYaQg1YBMePMAIJRpBXiPIMaf25y5+
XsjhoGZu3B1BMlqBeg+keOGU5VVuj7ARZGToITKrwgsvFsVnLieOoN+xAVUL
h3lBTzk050TlCCIHF9Y33OSF4AQrESHGUSQWfaD8209eYLtFYMp/MIrIC/wh
vzP5IL/G0lUxahRNODF/yyzkg3NcxT3pCaPod2J9e2gNH+TmOr+Pyx1Fjy89
uvLsLx8Y9bXeutM8io4cvpY6zMcP4ScyR/QpY8i9slnH6zE/UBQMv/bEj6Fr
70jVTjECMERModSnjiH2XG2GqgwBKB+cNX2XPYZ4f1YIqxcLwMXnCV3+pWMo
UDNxLaRdAEr5x0YkOsaQGXJwahEShPPEB0wX+cZRv3ncfedcQdg72H3ESGwc
WTy9EUKrFATSx12hqnLjyNNfxXC4RRDyfTu4WDTGkdEFJwXqkiCwLMqJZpqP
owjOFzwPDwvBq4FPmiMx48hZYuJO17gQBNQI+rQkjaOFfs+CpwRhPP9cqyrN
GEefr1ygR/IJA4MV75EHReNoW8D+82p6wnC61eG0ws9xpLUi0X41VRhWq5mv
XeWeQN8MvviMO4jAt5SzeabCEyjQQ7ZlwU8E0u+8mteSnkBGotLBpxNEwHif
qTeH6gQKFT+TRWkRgefvXoS8OT2BnkekeXYiUdBP0X0xHTWB7jFv45nfIwb3
61v+3H02gX6dL6/aYS4Gn2bO8/OkT6A2WXLr8m0xOKzn/Whf0QTqOlLc7flR
DHRHCzzutk+g9fGSl6Y7xSGAqpvP3TuBljxry7IPiQMcaJnIHJlAjxl97l04
Kw4ofMLuy8oEOnPCWVs0UBy09soYcQtPIhY1txCVv+LgbVUQnCk9iaRMrW20
F8Wh/N7Bak3lSTQYeHy1e7sE7OuwVrfWmUT/mAoFxg9KgCdhwmXqyCRK8Phs
cNlKAkoVvHIDTkyitGan4jgPCVC/EyueaTuJHFJkJxXfScCtTGlLzcuT6Kba
oGhWswQUfsuPaXSdRI9ZKh9sjEvAXslvbFN3J9H0gYfSboqSsOszcUEjYxJ1
vRhbOFQiCdenY3Y2vp5Ethp3h63+SMIbAWlnq+JJ9PVF/60RZilQvor1+H+e
RE1HEev3s1JwNearAK1lEjH8Gsm4eU8KXlVamWZ0TCKDs1/vCxRKgQLldkPD
6CT6rm70bhe/NFzeT2S2mp1EiWjnFSFjaci+EKNDX51EO6c/1a0FS8PIQ6nb
/kx09ER8j77CR2mQK84roG6jI1l59xVOJhm41IPo6dx0tJV2p1LhqAxkkr7K
a4jQ0Wrr7iO0CBmQthxLslShI+UmtkbnvbJwIcizY1KdjmJ6fwVOPpaFtNes
NH9ERw1nMIfHC7LQ9yv6OFWfjm7x23aYXJIDCQapkPSTdPRjMKZxfkAObHfk
1ahb0FFFWMtl+1vykHoKbdTb0dHJiunPN0R2QI93s4alMx3Fd/PKeA7tANEM
S7dJNzqSGDkbk9qrANZfR1/5edMRd7usBbeSEiQueQxTguhI7+7NwXp+FegS
Z5VMf0hHHutClGvLu0DQINpKPYaOXM8xxPfM7gaLG5Jx9Ul09EnaKbv7gwrE
J777fi6TjlK7tFf2RihBR53Otsk3dBT+/oeb8w5F4JtqOuJXQkdLF7QTr4gr
QHxkld1oFR2F9Y4Il5rsAH7VfJ/T9XQUZyJlMZUhD/G/0uM+tNBRsKtF8gpV
Hvhvx+XLddKReFLS8SdRchAvFNoc+Y+OapveWkSLy4FApc/I2igdvV097spb
LgsJtteZLs3S0eg9RZ4tK1kQZLIXbVmlo541k90VRLw9w3TffqYpNBXUvoen
TAaE9I+aprNPIYviRCVBFxkQfqQU6ik8hS7r3ycdnJCGxJ1iGX3SU+i8ZF/a
oXfSIPKDAkbKU8hA9lvjCw9pEOVbWhDXmUIjT/52inJKQ3LZKFfYkSmk/8X0
fM5fKRCz6lZcMJ5C70Ok2VzeSYH482q7BpsplK4b6z5qIQWphwp99jpNoSQi
T7ThbimQGMqMS3KZQlsEpTpdNimQVHzY7BowhTwdDvl6gySkNfuOdD2YQo/f
yu0OTZIEKRdXpiNRUyh+m7PPZ29JkC4y3yf4YgpVGvbHBRyQBFkkkVFTO4UY
rH/y7/skAZn/aKDUPIXcQhaez+ZIgGwQa1fszynkMkB2dYyQALmGca4rQ1Po
7va/+6ytJSB6h2UlmXkaaW/wBMVuikObV9sXHdI0+tfB43VwRBy4m4533tg2
jTLib5Ze+SEOMdew+T/c02ix9tNn+WxxiC2QUciXmUZRu26XVuP56Bdzisbw
jmmk7p/U2HtYHHjN+Q8Lq0wjo+wTTFZ7xSFumc02WH0alf1ZqbDgFId47emY
c0enEY9TT6dOrBgkfC4nMF2eRkxfDZitUkRhuvfd7amr06hc4HvZwyBROLqa
OdPlMo1UWT/8FXYWhXmlJ/8KPadRJGKLMVEXBeOoK9WXQqbR0NTFoqYfIsBo
LRzQmDWNVrcJihkJisBZd+pKce40oh48u82DWQTePia5vng7jQ5P/eruowuD
Vc28rU/JNDJ7tz/Zo1YYiuWaMZXP00gqKcTI1U0YrszeYYgamkYtMX6uaR1C
UMN+09N3bBrxSizpGXwSAn4Z52ln+jS61XJXVqJQCD6dMe89tDiNRubics9G
CIE4vqcWWGbQzIsRhQ4DIWi73+NnITODGM8l+t/6LAhaIge3xC/OIF6xHfIT
vwVA36rNzd5pBvWkRMgwNAmA6TPHoRdXZ1CzvPoetQ8CcEUgvFn21gyS5d3l
x5AqAAk8Xc+UgmeQ5gPpvO2OArDMcUtTM3sGmTr+0cle5YfCzWzXExMzqOia
toumGj+AttZgxPQMChxkOZu5gx+afL6d/TE/g77bED/sEOWH/tUFZLYxg5y7
n6xdJ/IDdUl3u+X2WVTpv+Q+95sPXKa6cy7tmkV9Fp7WL+7xgWIv18Cdm7Oo
y1TBFBvhBeNh8Rp3z1nU1h7dGNnDCy70XanXfWbREZrK/elfvFC4ftLKLmgW
jbZtnP1ZxwtaApFtetGzaCuVILkvnReMTlHq2AtnUeT5iPKTF3jhai0l8+nc
LPqm7NS+fYwHwr9IBEUtzSLWXjebn3088O7HbvuwtVlEuhJJy+zigfleE9E7
THOIunAmz6GZB3w2ImNtaXOoLn75pWUeDzxUp96X2zuHHhnah1G9eeB1NtWp
yG0ObSyab9fg4YGgn1UHmTzmUM/pLKuU7TxgxfifkIn3HPov/eEeCokH2Kw+
f50InENbO0R2U9a44RKnj5p0zBw6nEF86f+PG8TdBxmflMyhjJqSDM533BB9
qDTJZX0OOTS2aoSc5oYrLg4elQzzKO52N5XZmBt0k6gm21jmkS1J//V9fW6Y
WbzKnM0xj558CJzJ0OYG4xyJKz2i8+g58xkPbXluIFHCNI0PzqNn303+fN2k
gc9f61bF4HlUPfpFXDWPBvNHtZMcQudR+F2ptexXNLiaJ+yYEj6P2Ex5BKWz
aWAZ1LVKjZtHslbHWJVTaLBfwUJyNWseGdV2VYU8osHKLVPX+oZ51D86pGZ3
hQbuHIacDhwLKCXVu95BkQZ0d4XOZMoCevwt5VSMHA0u9ZJfdPAsoLDI9KON
+PnevKBe3Uh0AdWrYpZ6wjRQszhyfu/OBVQbeibUkwOPL/3ga4LJAqJqBmHd
01Rw1dI0TI5eQHS5Bdv/KqjAcC3a73H8ArK5qOTtXkqF8JTpAv/EBfT7Kh0C
i6iQw/hS+EL6Apo4I1+d85YKffUCdLnCBSR56p2qQjoVTM3WIvJaF5CRLyvj
xCMqqF+r/FVLXUQftAzdHC5SoTZFkL2YdxFFKPJ9nrSjwqnv7ihLcBE1jToM
3rahwjXVndkPJBcRMXHhRtI5KmStptw23rOI/HSZIygmVOC/HyDcYbKIAlQ9
HufqUGE1Rc9+PGIR8StJScQKU0FnSTtqd8wimsfcCxwFqRBgrFHj8XQRza4V
22nj9RlpY4ckc9oiuv3oK3GBRgWec5x9wgWLyF74pGoMOxV2cf+2M/65iHrO
us3GrlHgxpXWyOjORbTDw0b05QoFimuaqn//WUQW+TuxqiUKaLtWSTgOLSIJ
n49WS3MUMPia/s9vaREVqC1+iJ2ggEPIdbs8gSXEa3nONOIvBbJ7nCKXRJZQ
VuKdgd5uCkyo21drSy4h7n4JA7UuCrgNmko0KiyhywEPw0fbKeCvu/9f34El
tL7LqsHvOwUS1pntuM8voYtOyXft6ijw9/RmxDn7JVShkB9H/0gBidwlSL20
hMjS65f8avD+LMbEla8voUcerCqvqihQVPyt97D/EnpDr9y7p5wCLS4Jth5p
Syht+Mdv+lsKKERwrd3MXEKvNZ08v7yhQODb4Bi3nCU00iqmm/uaAup0t8b/
8peQvkab2c1cCiRdMVS9WLOEFHwF7JWyKOB8aZ1o0reERp8Wq+9NoUDtPbc0
46EllPGES0I3mQIiGSNaRmNLaNuhm/KmSXj//W2uR2dxl2yGBjyjgIbd6y5t
xmUUQzoVQoinALPV+bcKkssoWkmvJCaSAue9247Jyy6jU2odtF8RFChJMBiQ
UcDbpxwCBHA7d6oLSOxZRlfdWh6+DKfAd3POQD7dZVSjvPM0PQwfn/s9EZ4j
y+iISKPMUdxBMWslVINlVBx1lflFKAU024YnOE4tI9NHQf0XHlAg2QTMme3x
+81rBdjuU2DZRX2GcGkZWdoaansHU+BUxKuwrcvLaGPvM6epexRg+RYPq654
u2lOW28QBa4auSrMBCwjVZuCheG7FPh0ZbiWfm8Z9VokGLjiFguztpl4sIye
Hap4sRFAgR8Nx6KHI5fRc0Y+OzHc+45Kbv55vowkiqs3gv0ooPqiMeRzxjL6
cGhTWwG3ypYbLe/lMionvLRr8aWAZMlH+aC8ZfRoTPiUDG5h2tWC/4qW0W9Z
c9G2OxTgvc6tc6YMH2/hn6Z7uNnl8Pqsehmd7/jxbcaHAqyBHH9pdctojlor
9Qo3Q0+R00b9MhIfZrO4jHs+ltW3pWUZ+d2ouDThTQH67BtSedsyUjN8r5OP
e8T4zJMXHctIbxVb8sL9hzU72713GTU1i5J5cHfYn9xrO7CMfnpI2g954eOt
XP5wbGQZHWXaSijH3ST4XH/vxDK6Vfm4IBL3J/djrcLTy6jHLj/3Cm74MWPN
Or+M6jiPBurjLldJGJlaWkYNp3ftl8ddGKp7o3NtGQVLnm5hw/12aGyjZgt/
fmfs4enbFMjRfRLyimkF5WkPPu3AnZ58gBZLXEHBdxSaP+JOXu1P8mNfQWdV
zHrycMebP5S/zLmCHI6bt6ThjspXLThFw9uRRGos7ofb/2hr8a0gpZZc40e4
g53v1csIrSCmvfSuYNwBn5RPc4qtIB7G/qOBuH0kf/1ZllxBiTr3o+7idvf1
deqTXUH1J39XBOF2+S0790VhBdUS/358gNtZ/dudIpUVVPA0NicS98UoD1LK
nhVU94LNJRH3ebrYkxD1FXRE4RB3Du6zBvUibvtXUHW8YVw57tOZLtmWOitI
sGb3SjNuY0aBvYd1V1BNL8v+Adz656s/qBxZQcOxvy02cOuWX9bnN1hB+fTa
swL4/GnxUlsJxivI71y3uiZudbdy63GTFaRatH/eAveur/YjbWYrKER3PcIX
t0xwwUaW9QrSpspebsEt3mcZEmmH3z/+I30Dt6AOM83bYQWty1wFZXw9bF80
lTf+bwV98SfGx+ImndrI13BdQcKP7Uy/4WZ8k6EtcWsFfeg6M8OGr78lh8VT
8z4ryLCkvzkU92x18p8//isoJ3GA4xvuCZGjTp+DVlDktbM7efH13fsz7k7C
wxXkaRTK9xp3w+F92VjiCnravy9oA98fnp99VfxScUdkldri+0n+WG3hh/QV
dM8q5PRn3MFGJ6r3v8b7S9GuTPangN5ph9+qlSvI+OW1G+74/p1vy7G9UbOC
wkzMhudxvzCfHsr7tII2hrXq3APx+M95z6l8W0GSx/mqg/B8ALaR23b04vNb
u/i5Ac8fLn2/ohwHVlCPd2PCBTy/iF0UFsgcWUFXctm6GUIo4OuYJSM1s4K+
j+q/OoznI61rH3REGFfRB/gas4znrxLvUReK9CoiVhjtYI6iwKUNlaUT8quI
Eu+s+hM3r9/NO+FKq8ixwr3s5RMK3Ly79YBdbRX5/ihTtY6hwJ4HPC9Yjqyi
762WJDqeb9/EHvy54riKhkJn5kpS8fXFf99S8+oqkshbY6t+TgGOhKZ/7i6r
6NpFhdzmNDy/JZ2hz3muIk6CQdhMOp5f0/8j0h+soiZmGL3wkgIZeU/39eWu
osvv5WXn8/H1vGap0PF2FU1xvy4WL8TXz2FRoa8Fq8hIm+3qySIKvO9IWy+r
WEV6c5nHykoo0LqVWxX5ZRVNLwZPvXtPAYJx5eGD46togPHJqOZnPD/E+atr
TOH9nao4GV+P78d/unLKc6vo60jC1GoDBfhvfSYJrK0ibp43nQ1NFNiZ2PJl
mm0NaSgqBYXjtaf1WJ9JqsIa+rvD51Ih/v8sqZqhG6uyhkob/44f7cXz2R3H
vQ/3rKE4AZOqv//w+aNMcHvuX0Oh/D7mvIMUCNNcaD9hsIbM2C+5vh6nQFkw
8fzW5TXEJ6Je44OfF3iklJzPv1xDHOrdY7l8VIiICjN/+XoNsUuthbcLUIGN
cVx3Pm8N2cn5nCHi5xeGfy+FQsvXkMUxAdsb4lSYSJZrLvqyhmboNgl3duDn
J0GpXRz0NaSdKCpqrUWFm1TBxYo962j54SUlawcqTAXc7mPVWEeVs/5TVCcq
OM90fDU5sI7yT9A0m52pYNsSlzV8aB2p3/nkeMKFCkbhPBY0s3XEqXkqM9Sb
ClJslPfOHuvowwPFgZ4oKvwgkO4KvF9H+xRfX5WoowL99dPzJ2EdFbK5D9vU
U4F8TvHA/dp19Gpr/sCLL1TA8o3n55vWUfhRkSDNH1R4Yx9zqeXPOn6+fUlJ
7qFC2EdJw/tb60hR6q2BxRoV9O5pcy/obqBzleGjBeo0sN39bVrx6AbqlJPY
FbefBt5/bJvtDTdQw9i+JT8dGuSrBQW3nN5ABv9OiNkfoYH4UONy7sUNlPI7
KuiyOQ3Wj5z9Yx+8gRBvr26oBw2KSDcyWxo20JdGp7VDlTQY8gmYrGzeQEF2
Yleja2jAP/NY9fX3DVTX0Oo89gk/z3e+qnnQifefo6qc9Y0GejlDf3VHN1Cw
zPXgi3it/8PwHF8RaRONJMrWz7Nww3T4wZCnRzdR24ejes/x+kKS6eS3+4ab
yONXYVfeWW4w9TjP635iEx24+Hi93pobSm2800+d2UTtAg+22Jy4wW9XEbA7
bqINUie1x4cbtv+QX7kTvIn+cqawtGRxgxIPl7N93Sb6aegfLsbEA7S3Fa8y
GjaR3hrNJZbMA6v6jlMjzZtI5lFJEi8XD9T7VN68/msThV38KrZXhAcuDlz1
8xneRGYHDyb91eCBpIKG6FjyFoo+dkuG8zoPbD8VWNV4fAtlKTZetx3kgYVx
Fcbtp7ZQyGKUt8wkD3Tf+61nYr6F5l1MbBbneSCnbHdj+/ktVP2zivaemReO
SPS2DVzfQpL5U8Tf0rzgO601thm5hWpclAU9HXlhKnyRe++vLXRvwdCatsQL
E9OiNcq/txBN2sJobIsXxk4dvS7/dwvpmCkxfSPxwQBvfIPI0BbqNI0yqhHk
g9/J+3xJi1vopBALmyniA/szlXN0NgZsVfZP+6EwPjjuSLCuVWDAzKd5P7nt
5Aej+JiCaiUGjPvYl/nj+/nBoGEHW5UKA0Zdbce0DvODvuKpkrI9DJiuYznX
aUt+0J1Ko7zdz4B53ogdvh7CD5oeep+eGjBgNsdDOxOH+EHq/v2d150ZMArN
GyoKBcDtl6qv/VUGLPJD5nXNGgEAmb4ms2sMWNmfguSWbwJwvlbLWcuNAXsd
Y042GxeABMJsOtmLAXtuZeFYJiUIVB8rwfQHDJhUsw/D6QRBsPtCvhwXxoCZ
RvjJVLwUhHeCJSWhjxgwR+sD4kfKBMG4jGLmGsmAufCFtX7qEITQxU+PdZ4y
YApMfRmBAkLA6LqbpTObASMWTY56pwmBCV4RNOUwYH8iA8qtCoUglfNhWtUr
Biw5bUD9yich0HkzhDLfMWB7cgPiuceFwGv8mdeNUgbsxj8DhXx1YZh1YJ3m
qMf7twlOW2kXhoNFBTqERgYsofld7o5JYYhgtns0/4UBI4kLnItnFAGVFxUK
Xd8YsO1nnihoqIiAc6+LQ3Y7AxZS6j34IkQE+s51/dYdZsBYyqTo+YaisE37
TJbtKANWL6zM+NlRFNTEWm/4jjNg011Dm0eCRCGkv3Fb+RQD5kxdM4+rFIWd
V8t1di8zYPGWo0d+a4rBWWN19hOrDJj3S7/Hr8+Kwd1d+e1X1xmw5hVzRbbb
YvBr/qVLNgMB+xjx44VrhRj43HmaJkYmYC2iQ/EfpcQh04bnujY7AeP5bviK
X10cvh2MPGDJQcDcoFqyXl8cJFkftMVSCNjr2DBJveviUB/uybpdkICdGU6Y
FqkWh1mX+R+KwgSsYb3aN/+XOAiddkk5JkrA9sfPeXycEIdrfE6a9yQJ2LZJ
sqWroATwpJ5xXlcgYM/CfS8W+EiAzt1WdUFlAnbcuLSyJ1YCnC6eYNLcScA+
kN4cqsmTgPfyRxNv7CVgF30OBfwYlYAhto9OkWoELPHx4mdeoiRwTuqovdUg
YPEuFmE6MpJgn6f+dewAATvQx9XkelESHj7JTyDp4PFZS/6XdE8Sim6pOMpi
BExsNXTvZJYkkPbLMtjr4e0PmeyPT0vCHuG0Jr8jBIyaYvP9Ea8UWG6KPE3S
J2Cqf2v3nNaRgjc1PHs6jQhY5PfozqkoKehIj9xcNCZg8u85g2ggBYT7HF+4
TQhY4KO8++ZTUmBqyHLxpBkBCxI5TOc1kwZf5YBd184QsJ+8XG/5H0pDNufG
epgFAStiY4k88kka1lrnYz5bE7AnJ28I1R6WAeliF/tBGwLmv1DxkO+hDBjH
T6gw2RMwJzsjrdx2GfD0cloTv0jAFqPYP5rvkIU0q4HPOpcImIVtqaLCXVlo
0rGNtnLC36+P26PAfllYEO+29XImYGVX/vHuOiEHokxnleOvErC7Tz+9Tv0s
B/qDrStF1whYY7na/MGT8nBHMdz7rQsBmyRxPC3rk4d8V/2NbDcCJtNeP9L6
aAcMlTD6pd0kYBWlt3aGWCqA0OZ7hkR3AqZ4k+P7VWtFOKnncTfGk4DFXjv8
VKdECYJCdzM/9iJgIce6iz7XqUBZy/i9EB8Ctly8a/v35N1A580k3vUlYCJG
RqGmd3eDlLXtA29/AvY4IKe9O08Fzr4QZL91l4Cxb1e9oJyjBA9H2x5eCyJg
ti+fsgyeUoTqnY+3OwUTsAUBrkqBUwqweOtYhF0IAbPJ8AhqD9oBCu+ZqJah
BMxVZlLxZ6c82DBWPjF9iI+/fMAFHZWHaH1PHuNwAma8W6p/8ZMcNITviTsa
QcDotoP2I6ZysNk2wX8wioDJHmaM3E+XhT1CWQn7ownYlsnh810RsuBoZyes
GkvAHJj/umkfkIXELKFk5XgC9o3xqd7OCRlomfwpJpdAwFbYBr9Dmgzs9zKQ
EkwmYFLmQrrDIjJwHZgzaKl4vMTNWpt/0pDOWiXLkUbAWCw+ZO/KlgaOJ3sV
GDLx91MVmO2vIw26nZO5K1n4eqmWD3HlkAZ3sWzluZcETLh5pPLpXynozRXe
PfQaH69/347vwVLAM/srv+ctvj67Kw8/tpYCA81I1c48AuYpkFrVqyYFBbUs
mk1FBEyLU/ZZw5gkBP+h6+R/IGCtVGxQ4oIkVEi9hNwqAqYRuV/i2yFJmL58
QTejmoBx77qjfgnffxaL7Yfj6whYWnTFK5FxCVDirDbybSZg3zf8lr39JMDO
zPurxzcC9n5JWnTfJQmIfaZ20vU7ATOSFa4NPy4BW3I5py/+JGC9EROVwyIS
8AN7cs7gDx6fhc61zFpx8HRzcOKdJGAPmu8pSsqKQ4gh3XH/FAEb4BwTtKeK
Q5y0h+P5GXx8sgUZmxtiUPwr5FLmAgEL1d9rH5IvBnP7X11U3yRgcfv4445I
icE1pjlbc05GjGlWNpdTTBTudHvbelEYseo2w/k3DKLwsIjZNpnGiCmdz615
3ycCuY68NkN8jFihTFEaX7YIjHzZZ+0ujl//4jTy1hCBC9H+FrG7GTHFSZbi
9kvC4PYf2aJ8LyMWNFomLW8sDHePRJ39q8aIDUkal1WrCUPq8oszsvsZsX1f
txc2sAjDX6vPZsW6jNjBtsAUwkshOCuz/dSv04wYdZOr5O8q/v9X/MyA150R
8+k/wJ9TKwBOc/ZbPJ6MmN7HxZahAgEI3KVQyOPFiDlqnos9/EIASnNKRXh8
GTE275CdjncFQDLl5zQtmBG7bsaSpqQrAIv3OeMosYzYj0CG3xaf+SHZIrB/
WzEjZs+tfPDuIB+UxhrEbytlxCIaLfyVO/igtZVyfFs5I5Z37FECvZEPSMap
xeyVjNibAdWTee/4wE33wwO2T4yYwEp+3O47fHBEcWkn6Rcj9lTVXGhEgA/o
684+TIuMWPJ5k4giW16wOGu4Y2WJEZNgPikxYMYLtQWKv+grjJiJaLmjhCEv
PHWe2Pl7gxHz5z0b8FmNF/Q6/ut/x8KEGc083vzAzgvPClwMzvMwYbA76JF6
OQ/oO7vzl6kyYfmXsnICxHmgoM687o06E5YkOPBJn48HRCU03NI18fvNLP8J
bueBufalL4+1mDDm9wUFPWvckHz4tt8lPSas64jQqdF2bpgX9xmimTJh4xcY
7o9GcsPz9oDCazeYMJ2sbRM0Dm4YqtvVE36LCfvY5pXkwIyfTwt7yG89mDAp
u8sXq9doUByhbTPlzYTF3Bvvix2jQdOxFbJLEBOm+/JEQEk9DZYrXGxcY5gw
WeHwzcpgGhin2rDdLMFt0jl/nUyDVSdt29trTFiIHpu3miwVDCoUsFsb+Hjz
0t8x4PXQMw5+cdctJqyKTo//jtdPWvmzPU5MzFjFhWa7IA4q+K5l2ZxlZ8b4
lmxWlRYowBROtdEQYsbeboq/DayjwLaCYeuF/cyY3jKtjceZAiIbkZauXsxY
/X9dC67VXKDfd7wszocZc54pSGV7zwU3P5P5Kn2ZMY32iF3ZxVzQGBnwgy2Q
GSu8QB+eyeUCd1nXY+lhzNjGGW7uqlguaDlxUqM9kRnLYU/yP/AfF9xN207T
rmLGPgtEz8SJcMHQ0bBGEjMLJvj6jE4hDyfYG9qKy7CyYN6kT392c3DCH2M1
94MkFuyZxtWiYmZOaDPrkfDaxoKFNT2e/Tm3HWou7L09zs2CyZsrjl/+sR2S
/LrkvsqwYJQ9+1T7IraDaYnivSdHWTC2IkWHUep2+CjbhETDWDB3Mg2JKHCA
QXiPAe8jFizD34s7T4oDWhZmzbY/ZsFCrcWYDEQ44G+twNXNKBas6DdBNIyL
A5btHeP/JrBgs65eI8eWtoFSCuNMcg4L9vruXGtx3TaI5duXJtbIggXYqClo
XNoGzqRMZgkyKzZ8kyqgUMQOXxhDHh1iZ8XGXlkFeL1lB6WNy7yXOFixiMiL
5JaX7DA1oyyfS2HFIhd1roYms8PNriJDNUFWLE5LRk4rhB3uvKmLOqbIilU9
MvoeYcUOEaaD4m7HWbGipv96xkjsMGP8+WX0CVasazIkopOJHU4de7mnxIQV
O/gskLV5kw14dP7TWzdjxTq629Rr5tkgQW7BMfg8K8YWOGE32MsG6avMbxOu
s2Ls18OLt5WzQUmqtPbHSFbMiiZb+fU6G0hv6XlXP2HFnAbjQ5KusEGEtUNZ
VQw+HsL3fS6ObOAkmKn2/ikrxtiZeUzChg0Eo+VUip6zYq7vSVN5xmzgc19B
LCuPFWukuHaGqbCB7rVdhLDvrNiC5cY47wwZ3jSdRA9aWTG93d/sbCbJIKTo
euf+T1Ys2Ox2WO4oGeaH81YCO1mxd1Oh88Z9ZMiw2zvr848V+1kQtFDdSgaS
mXr/tRlWLD3Qw/NMCRm+HtCqO0UhYt7rTLwaAWQILb21doRGxFZiB2uYfMlw
VO3t7gM8RAwZ1/1s9SIDqEgmSwkQMaUyurzvTTIUSJA85sWJmHWVicOaIxni
iW3ysbvw53W268SdIMOF1isPO08Qsb7GW2zHJcggfjKjptmEiFl4T50PEiVD
d9Pf5erTRGyQp3upUogM5p9MHHLOEDEhXWxOm5cM+mUaOt42RKxYrH/Bnp0M
KilM08LXidiOpGdW+oskWHZ+dto2nIjdqIq47/WVBI+9XhD9IohYp1Mv0+AX
EsiG5lYkRRExT59pjdMNJDB7WSHVFUvEZM+afNxfS4L84a45sxQils1ww1C9
nARXLwpHG74jYi7d5cf+ZpKg1zqpTf0HHk/j7oTxuyTw+C8jxKyNiBm0qup8
8SfB9juvtW7+ImJUOek7b3xJoJ34IT3vNxFTXIuv9/MiQcLvPzeV+onY/eYx
v+NuJDA9I8ojOU/EuBdf1UXbk6D+ZIoZBy8Jy3Xbmd18mATOtYOVRH4Spqmr
MHJAjwQcmkryjIIk7BG3iOZrXRKcEitbXRQhYe2PJlmeIhJ0Tf5I6ZUhYa1T
IYYx+0hAD2UdK1AjYVcM4rnFVUgQsWl0+o0GCePRixOsUiLBXrcn77P3kTC7
RNoOO0USeFqIP07SJmHPpBut38iTgFF+v+r9wyRMmXRS8D8pEvDU/ed7zoyE
6YSLB3kLkKBUs3DY9AweL492rwE/Cc69Wj15woKEbb26oCPCR4LkJ/el9KxJ
WI+F2VYjNwnk7Z/XKzuQsIeH3jww4CKB1lYblXAL7+/dI7dOIgn+ugn5rLmT
sJEqal0HKwkChuwGFzxJWL24MncXCwk+NdNLxnxI2K/yocwRJhKcSCRZtwWR
sIzLLLFyDCSw36eVlRVNwpZifp5TXSHC5cnmhe5YEharUKlmuEwEl+c2etSn
JIzLseGjwxIR/MiB/3ySSJjFmeGljAUiJHY2CJ3KJGHftaaKT80S4cUjS+f7
2STs8FKExP0ZIuQcnCx9n0PC/uwp16qaJkLZSy5zubckTE7eNXD/FBF+3T4T
sV5Cwr5lXTCwniDCH+XRv7vLSRjz0I7db8eJMPDPS9nxPQm7zr7vEzPuuWPJ
jd8Bj4dZZbV8lAhcgoPMWQ0krNQt8+7pYSLwfXU/3f2FhPVn/2mrGSKC6F1S
GuUrCeP+6tWqhlt5TBH5/CBhfK5cP2UHiWBQ7nbbpIuETRwSGlDtJ4LJNeb6
4D8kLFJh7El1HxHOSsbyvu8hYcsDsXQT3I6hZQWyA3i8ib0v7vwjwjUdQ0ar
IRJ2N1Bpkx+3+2z3ycgREkbnLGQs7SVC0DkG+toECVu52E8m4A7bHqW1e4qE
rZsd3pbbQ4SoGqmwSzN4PNpnSs/ifq5wVP77AgnP39s5qv4SIftvhzvrMgmT
iL1d5IH7XZRz3YFVEkZUFyOq4q5cfWSfuYm7ujCj5A8R6t6I5XUxkLFqnVuz
vrib7PO2uJjI2I54ysgx3G28h4yPsJCxjehbwfy4uxrbEr2JZOyRfXjzWDcR
+nwvjb8jk7H7Tww+AO6xPcv7htjJ2LxYglkC7pmhByFC28kYm8O1WA/cywlC
7Se5yJioTLnfWdxbxq9lgqlkLOy+K0UbNysTulnBTcae84cayuDmKGmpmeYl
Y3ENq8qU/30/c8WeIitAxjymK0oZcAuJzdtYCpExTv3P43NdRJBsvfcmQoSM
TU3xfR7DrXCfb6NOjIxZX80xGMS9+8BLwzUJMvb/3wv9Hy6w8ec=
       "]]},
     Annotation[#, "Charting`Private`Tag$19103#2"]& ], 
    TagBox[
     {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium],
       LineBox[CompressedData["
1:eJwUmnk0lV8Xx7lukSIiIQolMtzZkLCflAYVpVKZQjRIQkUhaaRIqJR+GZIQ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       "]]},
     Annotation[#, "Charting`Private`Tag$19103#3"]& ], 
    TagBox[
     {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], 
      LineBox[CompressedData["
1:eJwcm3k4VV0bh4+hSFRoQCJKplDI7Dz7HKIkEaEMRUWZyVAZkkxJQiFFJFMK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       "]]},
     Annotation[#, "Charting`Private`Tag$19103#4"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, -44.23816617619566},
  CoordinatesToolOptions:>{"DisplayFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& ), "CopiedValueFunction" -> ({
      Part[#, 1], 
      Exp[
       Part[#, 2]]}& )},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0], 
     Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->FrontEndValueCache[{Automatic, 
     Charting`ScaledTicks[
     "Log", {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, 
      RotateLabel -> 0]}, {Automatic, {{-36.841361487904734`, 
       FormBox[
        TemplateBox[{"10", 
          RowBox[{"-", "16"}]}, "Superscript", SyntaxForm -> SuperscriptBox], 
        TraditionalForm], {0.01, 0.}}, {-25.328436022934504`, 
       FormBox[
        TemplateBox[{"10", 
          RowBox[{"-", "11"}]}, "Superscript", SyntaxForm -> SuperscriptBox], 
        TraditionalForm], {0.01, 0.}}, {-13.815510557964274`, 
       FormBox[
        TemplateBox[{"10", 
          RowBox[{"-", "6"}]}, "Superscript", SyntaxForm -> SuperscriptBox], 
        TraditionalForm], {0.01, 0.}}, {-2.3025850929940455`, 
       FormBox[
        TagBox[
         InterpretationBox[
          StyleBox["\"0.1\"", ShowStringCharacters -> False], 0.1, AutoDelete -> 
          True], NumberForm[#, {
           DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 
       0.}}, {-48.86511257664095, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-48.71096189681369, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-48.57743050418917, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-48.459647468532786`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-48.35428695287496, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-46.051701859880914`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-43.74911676688687, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-39.14394658089878, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-34.538776394910684`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-32.23619130191664, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-27.631021115928547`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-23.025850929940457`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-20.72326583694641, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-16.11809565095832, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-11.512925464970229`, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-9.210340371976182, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}, {-4.605170185988091, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {0., 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 0.}}, {
      2.302585092994046, 
       FormBox[
        TemplateBox[{0, 0}, "Spacer2"], TraditionalForm], {0.005, 
       0.}}}}]]], "Output",
 CellChangeTimes->{{3.853493697541955*^9, 3.8534937286825113`*^9}, {
   3.853493931427075*^9, 3.853493940950637*^9}, 3.853494082188933*^9, {
   3.853494294351274*^9, 3.853494315503067*^9}, 3.85349436742323*^9, {
   3.858852905053458*^9, 3.858852905584511*^9}, 3.858852974281839*^9},
 CellLabel->"Out[32]=",ExpressionUUID->"f223a126-5856-4404-99bb-9291629b2527"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"totalCS", "[", 
   RowBox[{"energy_", ",", "lmax_"}], "]"}], ":=", 
  RowBox[{"0.01", "*", 
   FractionBox["Pi", 
    SuperscriptBox[
     RowBox[{"momenta", "[", "energy", "]"}], "2"]], 
   RowBox[{"Sum", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{
        RowBox[{"2", "l"}], "+", "1"}], ")"}], 
      SuperscriptBox[
       RowBox[{"Sin", "[", 
        RowBox[{"phase", "[", 
         RowBox[{"l", ",", "energy"}], "]"}], "]"}], "2"]}], ",", 
     RowBox[{"{", 
      RowBox[{"l", ",", "0", ",", "lmax"}], "}"}]}], "]"}]}]}]], "Input",
 CellChangeTimes->{{3.853492655907251*^9, 3.8534926595668173`*^9}, {
   3.853492817350086*^9, 3.853492840180904*^9}, {3.8534928898683643`*^9, 
   3.85349310167901*^9}, {3.853493433723939*^9, 3.853493433851593*^9}, {
   3.853493477155789*^9, 3.8534934804378242`*^9}, 3.853493611161314*^9},
 CellLabel->"In[33]:=",ExpressionUUID->"8387d5b7-7091-4c7f-8884-012d86943ae7"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.853493111905604*^9, 3.85349312601123*^9}, {
  3.853493164164562*^9, 3.853493225382373*^9}, {3.853495245080155*^9, 
  3.853495262690237*^9}, {3.853495329074131*^9, 3.853495331273224*^9}, {
  3.853495481938435*^9, 3.853495506474152*^9}, {3.853496160099299*^9, 
  3.853496187795734*^9}},ExpressionUUID->"bd9b289e-9f91-4d4d-8b45-\
65980389fb4e"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.853496214091806*^9, 
  3.853496214093479*^9}},ExpressionUUID->"cf232325-3102-4603-938f-\
8fabde19702a"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.85349610148938*^9, 
  3.853496111610878*^9}},ExpressionUUID->"160a66a0-bd7e-4e19-ad21-\
edbb9fb11aad"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Plot", "[", 
   RowBox[{
    RowBox[{"totalCS", "[", 
     RowBox[{"e", ",", "5"}], "]"}], ",", 
    RowBox[{"{", 
     RowBox[{"e", ",", "0", ",", "50"}], "}"}]}], "]"}], 
  "\[IndentingNewLine]"}]], "Input",
 CellChangeTimes->{{3.853346969529502*^9, 3.8533469695305157`*^9}, {
   3.853495094843605*^9, 3.853495095696439*^9}, {3.853496053033456*^9, 
   3.8534960607485237`*^9}, 3.858852862482327*^9},
 CellLabel->"In[34]:=",ExpressionUUID->"2ba597b1-45c2-4485-8b72-92b085d2333c"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwVzHk41IsaB/ChITpkacqSCrlE2SKVw3lfxvIrxy6RdFzryJb1tNiLCB1L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       "]]},
     Annotation[#, "Charting`Private`Tag$19561#1"]& ]}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0.1848467849364315},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, 
    "DefaultGraphicsInteraction" -> {
     "Version" -> 1.2, "TrackMousePosition" -> {True, False}, 
      "Effects" -> {
       "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, 
        "Droplines" -> {
         "freeformCursorMode" -> True, 
          "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 50}, {0.18484678493643109`, 0.24348861258846421`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.853496079210414*^9, 3.853496080178686*^9}, {
   3.853496212803362*^9, 3.85349622117334*^9}, 3.8588527879075413`*^9, {
   3.858852905843582*^9, 3.85885290600801*^9}, 3.8588529830719833`*^9},
 CellLabel->"Out[34]=",ExpressionUUID->"3375e83b-1fe9-471d-ba15-9b0dadd509e3"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.8533137562730713`*^9, 3.853313865739964*^9}, 
   3.853314392443914*^9},ExpressionUUID->"23af634b-83f9-4046-80bc-\
efd276cb319d"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.85331423755933*^9, 
  3.853314237563533*^9}},ExpressionUUID->"5eb70ad0-f7b3-4504-bb07-\
065fbf35755c"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.853313890427112*^9, 3.853313902686264*^9}, {
  3.853314234067546*^9, 
  3.85331423464712*^9}},ExpressionUUID->"642f47f7-ed73-4e3f-b103-\
aea6064f1f18"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.8533142268467093`*^9, 
  3.853314226850664*^9}},ExpressionUUID->"08d6350f-5170-452b-ac76-\
ee100b67f30c"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.8533139237358418`*^9, 3.853313924503396*^9}, 
   3.853314229390658*^9},ExpressionUUID->"e7fd5889-c76e-4df7-8768-\
2047c3696082"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.853314227507984*^9, 
  3.853314227509367*^9}},ExpressionUUID->"b3a577ae-0347-4494-919e-\
59045b7e9812"],

Cell[BoxData["\[IndentingNewLine]"], "Input",
 CellChangeTimes->{
  3.8534926478523903`*^9},ExpressionUUID->"c708993a-fc72-4dc7-951b-\
c1e5a15ac35d"]
},
WindowSize->{1389.75, 768.75},
WindowMargins->{{Automatic, 0}, {0, Automatic}},
Magnification:>1.1 Inherited,
FrontEndVersion->"13.0 for Linux x86 (64-bit) (December 2, 2021)",
StyleDefinitions->"Default.nb",
ExpressionUUID->"fc5c1720-d53e-4d97-9e07-e488dec2c159"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[580, 22, 1062, 30, 57, "Input",ExpressionUUID->"ba7d4b78-672c-458a-81ef-4afd07c02df7"],
Cell[1645, 54, 1149, 31, 37, "Output",ExpressionUUID->"27aca7d3-6967-4af6-b7a6-cce9ddd23131"]
}, Open  ]],
Cell[2809, 88, 126, 3, 38, "Text",ExpressionUUID->"ff0261e9-e7f2-47d7-be51-681add6cc7f6"],
Cell[CellGroupData[{
Cell[2960, 95, 513, 9, 57, "Input",ExpressionUUID->"8b706344-7d6f-4824-a756-32583bee7675"],
Cell[3476, 106, 317, 6, 37, "Output",ExpressionUUID->"c5c35dc6-6455-4c06-8d6b-4ccc168b8f61"]
}, Open  ]],
Cell[3808, 115, 417, 10, 56, "Input",ExpressionUUID->"7c41ea64-0275-46af-a1be-64f6a62fe1e6"],
Cell[4228, 127, 586, 15, 53, "Input",ExpressionUUID->"2b3e773f-5694-4ac2-8548-b85c2006e275"],
Cell[CellGroupData[{
Cell[4839, 146, 870, 21, 33, "Input",ExpressionUUID->"36acf79c-f85b-4ba8-b611-02ce834d0895"],
Cell[5712, 169, 24704, 434, 254, "Output",ExpressionUUID->"d5ef8b6e-17ae-4a54-9e0c-3006bfae9692"]
}, Open  ]],
Cell[CellGroupData[{
Cell[30453, 608, 771, 20, 33, "Input",ExpressionUUID->"b03eab01-35a0-4e27-a0b2-b573f08e7021"],
Cell[31227, 630, 25903, 454, 254, "Output",ExpressionUUID->"01bc47c1-a9fe-4043-8c3d-2b7b55b80e93"]
}, Open  ]],
Cell[CellGroupData[{
Cell[57167, 1089, 1229, 35, 51, "Input",ExpressionUUID->"427c58a0-f500-4a61-a0ae-7f2409bdd161"],
Cell[58399, 1126, 17422, 384, 253, "Output",ExpressionUUID->"ba1cd1aa-a9c0-4923-a962-049f4f1494bb"]
}, Open  ]],
Cell[75836, 1513, 451, 10, 33, "Input",ExpressionUUID->"0a91aeaf-ae80-42ef-a5a9-461e851bc585"],
Cell[76290, 1525, 1015, 28, 60, "Input",ExpressionUUID->"1b755cd5-b17a-40f4-9478-09c8830d6ba5"],
Cell[77308, 1555, 152, 3, 33, "Input",ExpressionUUID->"f3ecc0bf-2bef-4449-a8ff-2f3439cd2a9d"],
Cell[77463, 1560, 490, 8, 33, "Input",ExpressionUUID->"964c704e-82d8-43f4-9305-4a962e141163"],
Cell[CellGroupData[{
Cell[77978, 1572, 1231, 27, 33, "Input",ExpressionUUID->"af7481d0-e6b6-42ab-b835-aeed7ec0ee28"],
Cell[79212, 1601, 16428, 291, 278, "Output",ExpressionUUID->"d6e10034-cd6b-4d36-800e-9982c3382e25"]
}, Open  ]],
Cell[CellGroupData[{
Cell[95677, 1897, 1079, 26, 33, "Input",ExpressionUUID->"b8aff626-17e7-46d3-a8e6-f170b25b16a0"],
Cell[96759, 1925, 16666, 295, 278, "Output",ExpressionUUID->"31848cdf-de94-4907-a200-3b020c8286c9"]
}, Open  ]],
Cell[CellGroupData[{
Cell[113462, 2225, 1357, 31, 80, "Input",ExpressionUUID->"1746ef99-a21f-48a2-80e1-0cbfd168ea91"],
Cell[114822, 2258, 44795, 787, 260, "Output",ExpressionUUID->"f356499f-2e0f-4f02-8da5-2bd66af20ddf"]
}, Open  ]],
Cell[CellGroupData[{
Cell[159654, 3050, 1313, 29, 80, "Input",ExpressionUUID->"9eca7f4d-a528-47eb-a310-7b5fa1901c40"],
Cell[160970, 3081, 85897, 1475, 260, "Output",ExpressionUUID->"da3218bd-9b5a-42cb-a6ff-d5514b5d1cd3"]
}, Open  ]],
Cell[CellGroupData[{
Cell[246904, 4561, 1386, 30, 80, "Input",ExpressionUUID->"cf6f91bf-b8ac-43f5-9a41-ddf0eddf226e"],
Cell[248293, 4593, 133078, 2258, 260, "Output",ExpressionUUID->"ba41baf1-2ecf-44d7-b30b-e52142b430ef"]
}, Open  ]],
Cell[381386, 6854, 1068, 27, 60, "Input",ExpressionUUID->"ca70aec2-1403-4fd0-bb53-d55303e04867"],
Cell[CellGroupData[{
Cell[382479, 6885, 1193, 27, 80, "Input",ExpressionUUID->"a099f556-b302-4e0c-9958-dce54cc805c8"],
Cell[383675, 6914, 80736, 1376, 252, "Output",ExpressionUUID->"f223a126-5856-4404-99bb-9291629b2527"]
}, Open  ]],
Cell[464426, 8293, 966, 24, 55, "Input",ExpressionUUID->"8387d5b7-7091-4c7f-8884-012d86943ae7"],
Cell[465395, 8319, 390, 6, 33, "Input",ExpressionUUID->"bd9b289e-9f91-4d4d-8b45-65980389fb4e"],
Cell[465788, 8327, 152, 3, 33, "Input",ExpressionUUID->"cf232325-3102-4603-938f-8fabde19702a"],
Cell[465943, 8332, 151, 3, 33, "Input",ExpressionUUID->"160a66a0-bd7e-4e19-ad21-edbb9fb11aad"],
Cell[CellGroupData[{
Cell[466119, 8339, 515, 12, 57, "Input",ExpressionUUID->"2ba597b1-45c2-4485-8b72-92b085d2333c"],
Cell[466637, 8353, 4303, 88, 257, "Output",ExpressionUUID->"3375e83b-1fe9-471d-ba15-9b0dadd509e3"]
}, Open  ]],
Cell[470955, 8444, 177, 3, 33, "Input",ExpressionUUID->"23af634b-83f9-4046-80bc-efd276cb319d"],
Cell[471135, 8449, 151, 3, 33, "Input",ExpressionUUID->"5eb70ad0-f7b3-4504-bb07-065fbf35755c"],
Cell[471289, 8454, 200, 4, 33, "Input",ExpressionUUID->"642f47f7-ed73-4e3f-b103-aea6064f1f18"],
Cell[471492, 8460, 154, 3, 33, "Input",ExpressionUUID->"08d6350f-5170-452b-ac76-ee100b67f30c"],
Cell[471649, 8465, 177, 3, 33, "Input",ExpressionUUID->"e7fd5889-c76e-4df7-8768-2047c3696082"],
Cell[471829, 8470, 152, 3, 33, "Input",ExpressionUUID->"b3a577ae-0347-4494-919e-59045b7e9812"],
Cell[471984, 8475, 149, 3, 57, "Input",ExpressionUUID->"c708993a-fc72-4dc7-951b-c1e5a15ac35d"]
}
]
*)