def analyseVariousNDFs(topFolder):
os.chdir(topFolder)
ndfItems = os.listdir(".")
NDFVals = []
print topFolder
for ndfItem in ndfItems:
if os.path.isdir(os.path.join(os.getcwd(), ndfItem)):
NDFVals.append(ndfItem)
print NDFVals
dacValuesVarious = []
peaks = []
peaksErrors = []
widths = []
widthsErrors = []
areas = []
areasErrors = []
for ndfFolder in NDFVals:
folders = []
ndfPath = os.path.join(os.getcwd(), ndfFolder, "dataset")
items = os.listdir(ndfPath)
for dacfolder in items:
if os.path.isdir(os.path.join(ndfPath,
dacfolder)) and is_number(dacfolder):
folders.append(dacfolder)
dacValues = []
peakValues = []
peakErrors = []
FWHMValues = []
FWHMErrors = []
areaValues = []
areaErrors = []
folders.sort(key=int)
for dacFolder in folders:
print "THIS IS DAC FOLDER: " + str(dacFolder)
x, y = calc_utils.readTRCFiles(os.path.join(ndfPath, dacFolder),
False)
areaHisto, area, areaErr = root_utils.plot_area(x, y, "area")
widthHisto, width, widthErr = root_utils.plot_width(x, y, "FWHM")
peakHisto, meanPeak, peakErr = root_utils.plot_peak(x, y, "peak")
#numSqrt = np.sqrt(len(os.listdir(os.path.join(ndfPath,dacFolder))))
peakValues.append(meanPeak)
peakErrors.append(peakErr)
FWHMValues.append(width)
FWHMErrors.append(widthErr)
areaValues.append(area)
areaErrors.append(areaErr)
dacValues.append(float(dacFolder))
dacValuesVarious.append(dacValues)
peaks.append(peakValues)
peaksErrors.append(peakErrors)
areas.append(areaValues)
areasErrors.append(areaErrors)
return NDFVals, dacValuesVarious, peaks, peaksErrors, areas, areasErrors
def analyseVariousNDFs(topFolder):
os.chdir(topFolder)
ndfItems = os.listdir(".")
NDFVals = []
print topFolder
for ndfItem in ndfItems:
if os.path.isdir(os.path.join(os.getcwd(),ndfItem)):
NDFVals.append(ndfItem)
print NDFVals
dacValuesVarious = []
peaks = []
peaksErrors = []
widths =[]
widthsErrors = []
areas = []
areasErrors = []
for ndfFolder in NDFVals:
folders = []
ndfPath = os.path.join(os.getcwd(),ndfFolder,"dataset")
items = os.listdir(ndfPath)
for dacfolder in items:
if os.path.isdir(os.path.join(ndfPath,dacfolder)) and is_number(dacfolder):
folders.append(dacfolder)
dacValues = []
peakValues = []
peakErrors = []
FWHMValues = []
FWHMErrors = []
areaValues = []
areaErrors = []
folders.sort(key=int)
for dacFolder in folders:
print "THIS IS DAC FOLDER: "+str(dacFolder)
x,y = calc_utils.readTRCFiles(os.path.join(ndfPath,dacFolder),False)
areaHisto, area, areaErr = root_utils.plot_area(x,y,"area")
widthHisto, width, widthErr = root_utils.plot_width(x,y,"FWHM")
peakHisto, meanPeak, peakErr = root_utils.plot_peak(x,y,"peak")
#numSqrt = np.sqrt(len(os.listdir(os.path.join(ndfPath,dacFolder))))
peakValues.append(meanPeak)
peakErrors.append(peakErr)
FWHMValues.append(width)
FWHMErrors.append(widthErr)
areaValues.append(area)
areaErrors.append(areaErr)
dacValues.append(float(dacFolder))
dacValuesVarious.append(dacValues)
peaks.append(peakValues)
peaksErrors.append(peakErrors)
areas.append(areaValues)
areasErrors.append(areaErrors)
return NDFVals,dacValuesVarious,peaks,peaksErrors,areas,areasErrors
items = os.listdir(".")
folders = []
for freqfolder in items:
if os.path.isdir(freqfolder) and is_number(freqfolder[:-3]):
print freqfolder[:-3]
folders.append(freqfolder)
folders = sorted(folders, key=lambda x: int(x[:-2]))
print folders
for freqFolder in folders:
print "THIS IS FREQ FOLDER: " + str(freqFolder)
x, y = calc_utils.readTRCFiles(freqFolder, False)
output = ROOT.TFile(freqFolder + ".root", "recreate")
areaHisto, area, areaErr = root_utils.plot_area(x, y, "area")
widthHisto, width, widthErr = root_utils.plot_width(x, y, "FWHM")
peakHisto, meanPeak, peakErr = root_utils.plot_peak(x, y, "peak")
numSqrt = np.sqrt(len(os.listdir(freqFolder)))
areaHisto.Write()
widthHisto.Write()
peakHisto.Write()
output.Close()
peakValues.append(meanPeak)
peakErrors.append(peakErr / numSqrt)
FWHMValues.append(width)
FWHMErrors.append(widthErr / numSqrt)
areaValues.append(area)
areaErrors.append(areaErr / numSqrt)
freqValues.append(float(freqFolder[:-3]))
areaFile = open("areas.txt", "w")
peakFile = open("peaks.txt", "w")
y_tot.append(y)
# Make plots and save
area, a_mean, a_Err = ru.plot_area(x, y, "pmt signal")
area.Write()
ru.print_hist(area, "%sArea.pdf" % plotPath, c1)
rise, r_mean, r_Err = ru.plot_rise(x, y, "pmt signal")
rise.Write()
ru.print_hist(rise, "%sRise.pdf" % plotPath, c1)
fall, f_mean, f_Err = ru.plot_fall(x, y, "pmt signal")
fall.Write()
ru.print_hist(fall, "%sFall.pdf" % plotPath, c1)
peak, p_mean, p_Err = ru.plot_peak(x, y, "pmt signal")
peak.Write()
ru.print_hist(peak, "%sPH.pdf" % plotPath, c1)
##############################################
# make containing data from all recorded runs
##############################################
# Make plots and save
plotPath = check_dir("./results/plots/channel_%i/" % (ent))
f = ROOT.TFile("%sresults.root" % plotPath, "RECREATE")
area, a_mean, a_Err = ru.plot_area(x, y, "pmt signal")
area.Write()
ru.print_hist(area, "%sArea.pdf" % plotPath, c1)
rise, r_mean, r_Err = ru.plot_rise(x, y, "pmt signal")
rise.Write()
ru.print_hist(rise, "%sRise.pdf" % plotPath, c1)
y_tot.append(y)
# Make plots and save
area, a_mean, a_Err = ru.plot_area(x, y, "pmt signal")
area.Write()
ru.print_hist(area, "%sArea.pdf" % plotPath, c1)
rise, r_mean, r_Err = ru.plot_rise(x, y, "pmt signal")
rise.Write()
ru.print_hist(rise, "%sRise.pdf" % plotPath, c1)
fall, f_mean, f_Err = ru.plot_fall(x, y, "pmt signal")
fall.Write()
ru.print_hist(fall, "%sFall.pdf" % plotPath, c1)
peak, p_mean, p_Err = ru.plot_peak(x, y, "pmt signal")
peak.Write()
ru.print_hist(peak, "%sPH.pdf" % plotPath, c1)
##############################################
# make containing data from all recorded runs
##############################################
# Make plots and save
plotPath = check_dir("./results/plots/channel_%i/" % (ent))
f = ROOT.TFile("%sresults.root" % plotPath, "RECREATE")
area, a_mean, a_Err = ru.plot_area(x, y, "pmt signal")
area.Write()
ru.print_hist(area, "%sArea.pdf" % plotPath, c1)
rise, r_mean, r_Err = ru.plot_rise(x, y, "pmt signal")
rise.Write()
ru.print_hist(rise, "%sRise.pdf" % plotPath, c1)
os.chdir(topFolder)
items = os.listdir(".")
folders = []
for dacfolder in items:
if os.path.isdir(dacfolder) and is_number(dacfolder):
folders.append(dacfolder)
folders.sort(key=int)
print folders
for dacFolder in folders:
print "THIS IS DAC FOLDER: "+str(dacFolder)
x,y = calc_utils.readTRCFiles(dacFolder,False)
output = ROOT.TFile(dacFolder+".root","recreate")
areaHisto,photonHisto, area, areaErr,areaErrOnMean = root_utils.plot_area(x,y,"area",lower_limit=9.e-8,upper_limit=9.e-8)
widthHisto, width, widthErr, widthErrOnMean = root_utils.plot_width(x,y,"FWHM")
peakHisto, meanPeak, peakErr, peakErrOnMean = root_utils.plot_peak(x,y,"peak")
#numSqrt = np.sqrt(len(os.listdir(dacFolder)))
photonHisto.Write()
areaHisto.Write()
widthHisto.Write()
peakHisto.Write()
output.Close()
peakValues.append(meanPeak)
peakErrors.append(peakErrOnMean)
FWHMValues.append(width)
FWHMErrors.append(widthErrOnMean)
areaValues.append(area)
areaErrors.append(areaErrOnMean)
print "Area MEAN is: "+str(area)
print "Area RMS is: "+str(areaErr)
areaFWHM.append(2*np.sqrt(2*np.log(2))*areaErr)
# Make plots and save
area_trig, aT_mean, aT_Err = rootu.plot_area(x1, y1, "trigger")
area_sig, aS_mean, aS_Err = rootu.plot_area(x2, y2, "signal")
area_trig.Write()
area_sig.Write()
rootu.print_hist(area_trig, "%sArea_trig.pdf" % plotPath, c1)
rootu.print_hist(area_sig, "%sArea_sig.pdf" % plotPath, c1)
rise_trig, rT_mean, rT_Err = rootu.plot_rise(x1, y1, "trigger")
rise_sig, rS_mean, rS_Err = rootu.plot_rise(x2, y2, "signal")
rise_trig.Write(), rise_sig.Write()
rootu.print_hist(rise_trig, "%sRise_trig.pdf" % plotPath, c1)
rootu.print_hist(rise_sig, "%sRise_sig.pdf" % plotPath, c1)
fall_trig, fT_mean, fT_Err = rootu.plot_fall(x1, y1, "trigger")
fall_sig, fS_mean, fS_Err = rootu.plot_fall(x2, y2, "signal")
fall_trig.Write(), fall_sig.Write()
rootu.print_hist(fall_trig, "%sFall_trig.pdf" % plotPath, c1)
rootu.print_hist(fall_sig, "%sFall_sig.pdf" % plotPath, c1)
peak_trig, pT_mean, pT_Err = rootu.plot_peak(x1, y1, "trigger")
peak_sig, pS_mean, pS_Err = rootu.plot_peak(x2, y2, "signal")
peak_trig.Write(), peak_sig.Write()
rootu.print_hist(peak_trig, "%sPH_trig.pdf" % plotPath, c1)
rootu.print_hist(peak_sig, "%sPH_sig.pdf" % plotPath, c1)
jitter_hist, jitt_mean, jitt_Err = rootu.plot_jitter(
x1, y1, x2, y2, "Pulse sep")
jitter_hist.Write()
rootu.print_hist(jitter_hist, "%sJitter.pdf" % plotPath, c1)