Number of points for smoothing are added in analyse.cpp

convertRawToAnalyzed/analyse.cpp

@@ -19,7 +19,7 @@ int main(int argc, char* argv[])
 	const Double_t cfTD = 1.5; //in ns
 	Double_t noiseMin = 5;
 	Double_t noiseMax = 25;
-
+	Int_t nump = 5;		//number of points for smoothing
 
 
 
@@ -79,6 +79,7 @@ int main(int argc, char* argv[])
 		wevent[j]->SetCFratio(cfRatio);
 		wevent[j]->SetCFtimeDelay(cfTD);
 		wevent[j]->SetNoiseRange(noiseMin, noiseMax);
+		wevent[j]->SetSmoothPoints(nump);
 		tw->Bronch(bName.Data(), "AEvent", &wevent[j]);	// create branches in atree to hold analyzed data
 	}
 //----event loop in tr input tree

dataClasses/AEvent.cpp

@@ -131,10 +131,10 @@ void AEvent::SmoothGraphs() {
 
 	//smoothing graph
 
-	fGraphSmooth->Set(fNPoints - 4);
+	fGraphSmooth->Set(fNPoints - fWinSize/2);
 
-	Int_t winSize = 5;	 		//number of smoothing points
-	Int_t winMidSize = winSize / 2;	
+	//Int_t winSize = 5;	 		//number of smoothing points
+	Int_t winMidSize = fWinSize / 2;	
 	Double_t tmin, tmax, meanTime, meanAmp;	
 
 	for(Int_t i = winMidSize; i < fNPoints - winMidSize; ++i) {
@@ -151,7 +151,7 @@ void AEvent::SmoothGraphs() {
 		meanTime = (tmax - tmin)*0.5 + tmin;
 		//cout<<"mean time "<<meant<<endl;
 
-    		meanAmp = mean / winSize;
+    		meanAmp = mean / fWinSize;
 		//cout<<"mean amp "<<fAmpPos[i]<<endl;
 
 		fGraphSmooth->SetPoint(i, meanTime, meanAmp);

dataClasses/AEvent.h

@@ -65,6 +65,7 @@ private:
 
 	Double_t fNoiseRangeMin;	//!
 	Double_t fNoiseRangeMax;	//!
+	Int_t fWinSize;			//!
 
 public:
 	AEvent();
@@ -103,6 +104,9 @@ public:
 	void SetNoiseRange(Double_t min, Double_t max) { fNoiseRangeMin = min; fNoiseRangeMax = max; };
 	//Set noise range to be used in FindZeroLevel()
 
+	void SetSmoothPoints(Int_t numofp) {fWinSize = numofp; };
+	//set number of smoothing points
+
 	void Reset();
 	 //Resets arrays to zeros