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https://github.com/slsdetectorgroup/slsDetectorPackage.git
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git-svn-id: file:///afs/psi.ch/project/sls_det_software/svn/slsDetectorCalibration@11 113b152e-814d-439b-b186-022a431db7b5
278 lines
6.1 KiB
C++
278 lines
6.1 KiB
C++
#ifndef MOENCH02MODULEDATA_H
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#define MOENCH02MODULEDATA_H
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//#include "slsDetectorData.h"
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#include "singlePhotonDetector.h"
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#include "RunningStat.h"
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#include "MovingStat.h"
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#include <iostream>
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#include <fstream>
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#include <TTree.h>
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using namespace std;
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class moench02ModuleData : public slsDetectorData<uint16_t> {
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public:
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/**
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Constructor (no error checking if datasize and offsets are compatible!)
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\param npx number of pixels in the x direction
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\param npy number of pixels in the y direction
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\param ds size of the dataset
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\param dMap array of size nx*ny storing the pointers to the data in the dataset (as offset)
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\param dMask Array of size nx*ny storing the polarity of the data in the dataset (should be 0 if no inversion is required, 0xffffffff is inversion is required)
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*/
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moench02ModuleData(int nbg=1000): slsDetectorData<uint16_t>(160, 160, 40, 1286), nSigma(5), buff(NULL), oldbuff(NULL), pedSub(1) {
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int headerOff=0;
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int footerOff=1284;
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int dataOff=4;
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int ix, iy, ir, ic, i, isc, ip;
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int **dMask;
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int **dMap;
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for (ir=0; ir<160; ir++) {
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for (ic=0; ic<160; ic++) {
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stat[ir][ic].Clear();
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stat[ir][ic].SetN(nbg);
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}
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}
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dMask=new int*[160];
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for(i = 0; i < 160; i++) {
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dMask[i] = new int[160];
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}
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dMap=new int*[160];
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for(i = 0; i < 160; i++) {
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dMap[i] = new int[160];
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}
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for (isc=0; isc<4; isc++) {
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for (ip=0; ip<10; ip++) {
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for (ir=0; ir<16; ir++) {
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for (ic=0; ic<40; ic++) {
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ix=isc*40+ic;
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iy=ip*16+ir;
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dMap[iy][ix]=1286*(isc*10+ip)+2*ir*40+2*ic;
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// cout << ix << " " << iy << " " << dMap[ix][iy] << endl;
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}
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}
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}
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}
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for (ix=0; ix<120; ix++) {
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for (iy=0; iy<160; iy++)
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dMask[iy][ix]=0x3fff;
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}
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for (ix=120; ix<160; ix++) {
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for (iy=0; iy<160; iy++)
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dMask[iy][ix]=0x0;
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}
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setDataMap(dMap);
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setDataMask(dMask);
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};
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~moench02ModuleData() {if (buff) delete [] buff; if (oldbuff) delete [] oldbuff; };
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int getPacketNumber(char *buff){
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int np=(*(int*)buff)&0xff;
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if (np==0)
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np=40;
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return np;
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};
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void calculateCommonMode(int xmin=0, int xmax=160, int ymin=0, int ymax=160, double hc=0, double tc=0) {
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int scmin=xmin/40;
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int scmax=(xmax-1)/40+1;
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int isc=0, ix, iy;
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for (isc=scmin; isc<scmax; isc++) {
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nCm[isc]=0;
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cmPed[isc]=0;
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}
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for (ix=xmin-1; ix<xmax+1; ix++) {
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isc=ix/40;
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for (iy=ymin-1; iy<ymax+1; iy++) {
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if (isGood(ix,iy)) {
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if (getEventType(ix, iy, hc, tc, 1,0)==PEDESTAL) {
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cmPed[isc]+=getChannelShort(ix, iy, hc, tc);
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nCm[isc]++;
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}
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}
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}
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}
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for (isc=scmin; isc<scmax; isc++) {
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if (nCm[isc]>0)
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cmStat[isc].Calc(cmPed[isc]/nCm[isc]);
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// cout << "SC " << isc << nCm[isc] << " " << cmPed[isc]/nCm[isc] << " " << cmStat[isc].Mean() << endl;
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}
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};
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double getCommonMode(int ix, int iy) {
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int isc=ix/40;
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if (nCm[isc]>0) {
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/* if (ix==20 && iy==20) */
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/* cout << cmPed[isc] << " " << nCm[isc] << " " << cmStat[isc].Mean() << " " << cmPed[isc]/nCm[isc]-cmStat[isc].Mean() << endl; */
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return cmPed[isc]/nCm[isc]-cmStat[isc].Mean();
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} else {
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/* if (ix==20 && iy==20) */
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/* cout << "No common mode!" << endl; */
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return 0;
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}
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};
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void addToPedestal(double val, int ix, int iy){stat[iy][ix].Calc(val);};
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double getPedestal(int ix, int iy){return stat[iy][ix].Mean();};
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double getPedestalRMS(int ix, int iy){return stat[iy][ix].StandardDeviation();};
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double setNSigma(double n){if (n>0) nSigma=n; return nSigma;}
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char *getBuff(){return buff;}
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char *getOldBuff(){return oldbuff;}
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int setPedestalSubstraction(int i=-1){if (i>=0) pedSub=i; return pedSub;};
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double getChannelShort(int ix, int iy, double hc=0, double tc=0) {
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double val=slsDetectorData<uint16_t>::getChannel(buff,ix,iy);
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if (ix>0 && hc!=0)
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val-=hc*slsDetectorData<uint16_t>::getChannel(buff,ix-1,iy);
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if (oldbuff && tc!=0)
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val+=tc*slsDetectorData<uint16_t>::getChannel(oldbuff,ix,iy);
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return val;
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};
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eventType getEventType(int ix, int iy, double hcorr=0, double tcorr=0, int sign=1, int cm=0) {
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/* PEDESTAL, */
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/* NEIGHBOUR, */
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/* PHOTON, */
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/* PHOTON_MAX, */
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/* NEGATIVE_PEDESTAL */
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eventType ret=PEDESTAL;
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double tot=0, v, max=0, sig;
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sig=getPedestalRMS(ix,iy);
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for (int ir=-1; ir<2; ir++) {
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for (int ic=-1; ic<2; ic ++) {
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if ((iy+ir)>=0 && (iy+ir)<160 && (ix+ic)>=0 && (ix+ic)<160) {
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v=sign*getChannelShort(ix+ic, iy+ir, hcorr, tcorr);
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if (pedSub)
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v-=sign*getPedestal(ix+ic,iy+ir);
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if (cm)
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v-=sign*getCommonMode(ix+ic, iy+ic);
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cluster[ic+1][ir+1]=v;
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tot+=v;
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if (v>max) {
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max=v;
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}
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if (ir==0 && ic==0) {
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if (v>nSigma*getPedestalRMS(ix,iy)) {
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ret=PHOTON;
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} else if (v<-nSigma*getPedestalRMS(ix,iy))
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ret=NEGATIVE_PEDESTAL;
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}
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}
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}
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}
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if (ret!=PHOTON && tot>3*nSigma*sig)
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ret=NEIGHBOUR;
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else if (ret==PHOTON) {
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if (cluster[1][1]>=max)
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ret=PHOTON_MAX;
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}
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cx=ix;
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cy=iy;
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return ret;
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};
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double getClusterElement(int ic, int ir, int cmsub=0){return cluster[ic+1][ir+1];};
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double *getCluster(){return &cluster[0][0];};
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TTree *initMoenchTree(char *tname, Int_t *iframe, Int_t * x, Int_t* y, Double_t data[3][3], Double_t *ped, Double_t *sigma) {
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TTree* tall=new TTree(tname,tname);
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tall->Branch("iFrame",iframe,"iframe/I");
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tall->Branch("x",x,"x/I");
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tall->Branch("y",y,"y/I");
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tall->Branch("data",data,"data[3][3]/D");
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tall->Branch("pedestal",ped,"pedestal/D");
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tall->Branch("rms",sigma,"rms/D");
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return tall;
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};
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private:
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MovingStat stat[160][160];
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double nSigma;
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double cluster[3][3];
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char *buff;
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char *oldbuff;
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int pedSub;
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int cmSub;
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MovingStat cmStat[4]; //stores the common mode average per supercolumn
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double cmPed[4]; // stores the common mode for this frame per supercolumn
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double nCm[4]; // stores the number of pedestals to calculate the cm per supercolumn
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int cx, cy;
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};
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#endif
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