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musrview gets the new feature: calculate theory points only at data points.

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This commit is contained in:
suter_a
2020-08-29 11:15:02 +02:00
parent 33fe4ee5fb
commit 66f3b48e2a
75 changed files with 5218 additions and 35360 deletions
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24
src/classes/PRunAsymmetryBNMR.cpp
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@ -57,6 +57,7 @@ PRunAsymmetryBNMR::PRunAsymmetryBNMR() : PRunBase()
{
fNoOfFitBins = 0;
fPacking = -1;
fTheoAsData = false;
// the 2 following variables are need in case fit range is given in bins, and since
// the fit range can be changed in the command block, these variables need to be accessible
@ -78,7 +79,8 @@ PRunAsymmetryBNMR::PRunAsymmetryBNMR() : PRunBase()
* \param runNo number of the run within the msr-file
* \param tag tag showing what shall be done: kFit == fitting, kView == viewing
*/
PRunAsymmetryBNMR::PRunAsymmetryBNMR(PMsrHandler *msrInfo, PRunDataHandler *rawData, UInt_t runNo, EPMusrHandleTag tag) : PRunBase(msrInfo, rawData, runNo, tag)
PRunAsymmetryBNMR::PRunAsymmetryBNMR(PMsrHandler *msrInfo, PRunDataHandler *rawData, UInt_t runNo, EPMusrHandleTag tag, Bool_t theoAsData) :
PRunBase(msrInfo, rawData, runNo, tag), fTheoAsData(theoAsData)
{
// the 2 following variables are need in case fit range is given in bins, and since
// the fit range can be changed in the command block, these variables need to be accessible
@ -1472,17 +1474,21 @@ Bool_t PRunAsymmetryBNMR::PrepareViewData(PRawRunData* runData, UInt_t histoNo[2
}
// calculate theory
Double_t time;
UInt_t size = runData->GetDataBin(histoNo[0])->size();
Double_t factor = 1.0;
if (fData.GetValue()->size() * 10 > runData->GetDataBin(histoNo[0])->size()) {
size = fData.GetValue()->size() * 10;
factor = static_cast<Double_t>(runData->GetDataBin(histoNo[0])->size()) / static_cast<Double_t>(size);
}
Int_t factor = 8; // 8 times more points for the theory (if fTheoAsData == false)
fData.SetTheoryTimeStart(fData.GetDataTimeStart());
fData.SetTheoryTimeStep(fTimeResolution*factor);
if (fTheoAsData) { // cacluate theory only at the data points
fData.SetTheoryTimeStep(fData.GetDataTimeStep());
} else {
// finer binning for the theory (8 times as many points = factor)
size *= factor;
fData.SetTheoryTimeStep(fData.GetDataTimeStep()/(Double_t)factor);
}
Double_t time;
for (UInt_t i=0; i<size; i++) {
time = fData.GetTheoryTimeStart() + static_cast<Double_t>(i)*fTimeResolution*factor;
time = fData.GetTheoryTimeStart() + static_cast<Double_t>(i)*fData.GetTheoryTimeStep();
value = fTheory->Func(time, par, fFuncValues);
if (fabs(value) > 10.0) { // dirty hack needs to be fixed!!
value = 0.0;