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fixed a bug in PRunAsymmetry::PrepareData relevant when combining addrun's and grouping (MUSR-209). Removed some obsolate out-commented parts from PRunSingleHisto

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suter_a 2012-01-05 15:50:00 +00:00
parent 8c8833f2eb
commit d2e6eacad2
3 changed files with 38 additions and 37 deletions
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2
ChangeLog
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@ -21,6 +21,8 @@ NEW the chi^2 calculation in single-histogram and asymmetry fits is parallelized
if musrfit is built using a compiler supporting OpenMP (e.g. GCC >= 4.2)
Using --disable-omp this feature can be disabled on the configure level.
NEW any2many: force the user to define the exact NeXus ouput format (HDF4,HDF5,XML)
FIXED 2012-01-05 fixed a bug in PRunAsymmetry::PrepareData relevant when combining addrun's and grouping (MUSR-209).
Remove some commented out stuff from PRunSingleHisto.
FIXED 2011-12-23 changed Qt parts of configure.ac in order to be compatible
with BSD MacOS X
FIXED 2011-12-22 some more work towards a proper NeXus muon data format support.

65
src/classes/PRunAsymmetry.cpp
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@ -495,11 +495,16 @@ Bool_t PRunAsymmetry::PrepareData()
}
}
// get raw forward/backward histo data
fForward.resize(runData->GetDataBin(forwardHistoNo[0])->size());
fBackward.resize(runData->GetDataBin(backwardHistoNo[0])->size());
fForward = *runData->GetDataBin(forwardHistoNo[0]);
fBackward = *runData->GetDataBin(backwardHistoNo[0]);
// keep the histo of each group at this point (addruns handled below)
vector<PDoubleVector> forward, backward;
forward.resize(forwardHistoNo.size()); // resize to number of groups
backward.resize(backwardHistoNo.size()); // resize to numer of groups
for (UInt_t i=0; i<forwardHistoNo.size(); i++) {
forward[i].resize(runData->GetDataBin(forwardHistoNo[i])->size());
backward[i].resize(runData->GetDataBin(backwardHistoNo[i])->size());
forward[i] = *runData->GetDataBin(forwardHistoNo[i]);
backward[i] = *runData->GetDataBin(backwardHistoNo[i]);
}
// check if addrun's are present, and if yes add data
// check if there are runs to be added to the current one
@ -579,24 +584,24 @@ Bool_t PRunAsymmetry::PrepareData()
}
// add forward run
UInt_t addRunSize;
for (UInt_t k=0; k<forwardHistoNo.size(); k++) {
UInt_t addRunSize;
for (UInt_t k=0; k<forwardHistoNo.size(); k++) { // fill each group
addRunSize = addRunData->GetDataBin(forwardHistoNo[k])->size();
for (UInt_t j=0; j<runData->GetDataBin(forwardHistoNo[k])->size(); j++) {
for (UInt_t j=0; j<addRunData->GetDataBin(forwardHistoNo[k])->size(); j++) { // loop over the bin indices
// make sure that the index stays in the proper range
if ((j+t0Add[2*k]-fT0s[2*k] >= 0) && (j+t0Add[2*k]-fT0s[2*k] < addRunSize)) {
fForward[j] += addRunData->GetDataBin(forwardHistoNo[k])->at(j+t0Add[2*k]-fT0s[2*k]);
forward[k][j] += addRunData->GetDataBin(forwardHistoNo[k])->at(j+t0Add[2*k]-fT0s[2*k]);
}
}
}
// add backward run
for (UInt_t k=0; k<backwardHistoNo.size(); k++) {
for (UInt_t k=0; k<backwardHistoNo.size(); k++) { // fill each group
addRunSize = addRunData->GetDataBin(backwardHistoNo[k])->size();
for (UInt_t j=0; j<runData->GetDataBin(backwardHistoNo[k])->size(); j++) {
for (UInt_t j=0; j<addRunData->GetDataBin(backwardHistoNo[k])->size(); j++) { // loop over the bin indices
// make sure that the index stays in the proper range
if ((j+t0Add[2*k+1]-fT0s[2*k+1] >= 0) && (j+t0Add[2*k+1]-fT0s[2*k+1] < addRunSize)) {
fBackward[j] += addRunData->GetDataBin(backwardHistoNo[k])->at(j+t0Add[2*k+1]-fT0s[2*k+1]);
backward[k][j] += addRunData->GetDataBin(backwardHistoNo[k])->at(j+t0Add[2*k+1]-fT0s[2*k+1]);
}
}
}
@ -606,22 +611,30 @@ Bool_t PRunAsymmetry::PrepareData()
}
}
// group histograms, add all the forward histograms to the one with forwardHistoNo[0]
for (UInt_t i=1; i<forwardHistoNo.size(); i++) {
for (UInt_t j=0; j<runData->GetDataBin(forwardHistoNo[i])->size(); j++) {
// set forward/backward histo data of the first group
fForward.resize(forward[0].size());
fBackward.resize(backward[0].size());
for (UInt_t i=0; i<fForward.size(); i++) {
fForward[i] = forward[0][i];
fBackward[i] = backward[0][i];
}
// group histograms, add all the remaining forward histograms of the group
for (UInt_t i=1; i<forwardHistoNo.size(); i++) { // loop over the groupings
for (UInt_t j=0; j<runData->GetDataBin(forwardHistoNo[i])->size(); j++) { // loop over the bin indices
// make sure that the index stays within proper range
if ((j+fT0s[2*i]-fT0s[0] >= 0) && (j+fT0s[2*i]-fT0s[0] < runData->GetDataBin(forwardHistoNo[i])->size())) {
fForward[j] += runData->GetDataBin(forwardHistoNo[i])->at(j+fT0s[2*i]-fT0s[0]);
fForward[j] += forward[i][j+fT0s[2*i]-fT0s[0]];
}
}
}
// group histograms, add all the backward histograms to the one with backwardHistoNo[0]
for (UInt_t i=1; i<backwardHistoNo.size(); i++) {
for (UInt_t j=0; j<runData->GetDataBin(backwardHistoNo[i])->size(); j++) {
// group histograms, add all the remaining backward histograms of the group
for (UInt_t i=1; i<backwardHistoNo.size(); i++) { // loop over the groupings
for (UInt_t j=0; j<runData->GetDataBin(backwardHistoNo[i])->size(); j++) { // loop over the bin indices
// make sure that the index stays within proper range
if ((j+fT0s[2*i+1]-fT0s[1] >= 0) && (j+fT0s[2*i+1]-fT0s[1] < runData->GetDataBin(backwardHistoNo[i])->size())) {
fBackward[j] += runData->GetDataBin(backwardHistoNo[i])->at(j+fT0s[2*i+1]-fT0s[1]);
fBackward[j] += backward[i][j+fT0s[2*i+1]-fT0s[1]];
}
}
}
@ -801,12 +814,14 @@ Bool_t PRunAsymmetry::SubtractEstimatedBkg()
bkg[0] += fForward[i];
errBkg[0] = TMath::Sqrt(bkg[0])/(end[0] - start[0] + 1);
bkg[0] /= static_cast<Double_t>(end[0] - start[0] + 1);
cout << endl << ">> estimated forward histo background: " << bkg[0];
// backward
for (UInt_t i=start[1]; i<end[1]; i++)
bkg[1] += fBackward[i];
errBkg[1] = TMath::Sqrt(bkg[1])/(end[0] - start[0] + 1);
bkg[1] /= static_cast<Double_t>(end[1] - start[1] + 1);
cout << endl << ">> estimated backward histo background: " << bkg[1] << endl;
// correct error for forward, backward
for (UInt_t i=0; i<fForward.size(); i++) {
@ -833,7 +848,7 @@ Bool_t PRunAsymmetry::SubtractEstimatedBkg()
* <p>Take the pre-processed data (i.e. grouping and addrun are preformed) and form the asymmetry for fitting.
* Before forming the asymmetry, the following checks will be performed:
* -# check if data range is given, if not try to estimate one.
* -# check that data range is present, that it makes any sense.
* -# check that if a data range is present, that it makes any sense.
* -# check that 'first good bin'-'t0' is the same for forward and backward histogram. If not adjust it.
* -# pack data (rebin).
* -# if packed forward size != backward size, truncate the longer one such that an asymmetry can be formed.
@ -1245,14 +1260,6 @@ Bool_t PRunAsymmetry::PrepareViewData(PRawRunData* runData, UInt_t histoNo[2])
fData.AppendErrorValue(error);
}
// // count the number of bins to be fitted
// Double_t time;
// fNoOfFitBins=0;
// for (UInt_t i=0; i<fData.GetValue()->size(); i++) {
// time = fData.GetDataTimeStart() + (Double_t)i * fData.GetDataTimeStep();
// if ((time >= fFitStartTime) && (time <= fFitEndTime))
// fNoOfFitBins++;
// }
CalcNoOfFitBins();
// clean up

8
src/classes/PRunSingleHisto.cpp
View File

@ -812,14 +812,6 @@ Bool_t PRunSingleHisto::PrepareFitData(PRawRunData* runData, const UInt_t histoN
}
}
// // count the number of bins to be fitted
// fNoOfFitBins=0;
// Double_t time;
// for (UInt_t i=0; i<fData.GetValue()->size(); i++) {
// time = fData.GetDataTimeStart() + (Double_t)i*fData.GetDataTimeStep();
// if ((time >= fFitStartTime) && (time <= fFitEndTime))
// fNoOfFitBins++;
// }
CalcNoOfFitBins();
return true;