SCTPostProcessing Namespace Reference

Functions
	_bec_layer_link (h)
	effcomb (inputs)
	conf (inputs, label, thr)

Function Documentation

_bec_layer_link()

SCTPostProcessing._bec_layer_link ( h )

protected

Definition at line 4 of file SCTPostProcessing.py.

def _bec_layer_link(h):
    #  hist name format: <histname>_<layer>_<link>
    # possible <histnames> (B, ECA, ECC):
    # (noiseoccupancymaptrigger, noiseoccupancymaptriggerECp, noiseoccupancymaptriggerECm)
    # (ineff, ineffp, ineffm)
    # (SCT_NumberOfErrorsB, SCT_NumberOfErrorsEA, SCT_NumberOfErrorsEC)
    name = h.GetName()
    # define bec
    if 'EA' in name or 'ECp' in name or 'ineffp' in name:
        bec = 2
    elif 'EC' in name or 'ECm' in name or 'ineffm' in name:
        bec = -2
    else:
        bec = 0
    # define layer and link
    layer = int(name.split('_')[-2])
    link = int(name.split('_')[-1])
    return (bec, layer, link)
 

conf()

SCTPostProcessing.conf	(		inputs,
			label,
			thr )

Definition at line 37 of file SCTPostProcessing.py.

def conf(inputs, label, thr):
    import ROOT
    rh = ROOT.TH1F('SCTConfNew', 'Num of Problematic Modules in All Region', 5, -0.5, 4.5)
    for l in range(len(label)):
        rh.GetXaxis().SetBinLabel(l+1,label[l])
    for i in range(len(inputs[0][1])):
        plots = [_[1][i] for _ in inputs]  # all plots passed as first element of list
        if i < 3:
            # order the plots, two layer links are next to each other
            plots = sorted(plots, key=_bec_layer_link)
            for m in range(int(len(plots)/2)):
                plot0 = plots[2*m]
                plot1 = plots[2*m+1]
                for xbin in range(plot0.GetNbinsX()):
                    for ybin in range(plot0.GetNbinsY()):
                        if (plot0.GetBinContent(xbin+1,ybin+1) > thr[i] or plot1.GetBinContent(xbin+1,ybin+1) > thr[i]):
                             rh.Fill(i)
        else:
        #use only first plot as all others are replicas (only for Masked and flagged links plots)
            rh.Fill(i,plots[0].GetBinContent(4))
    return [rh]

effcomb()

SCTPostProcessing.effcomb

(

inputs

)

Definition at line 23 of file SCTPostProcessing.py.

def effcomb(inputs):
    import ROOT
    rv = ROOT.TH1F('SctEffDistribution;Efficiency;Links', 'SCT Efficiency Distribution', 500, 0, 1)
    plots = [_[1][0] for _ in inputs]  # all plots passed as first element of list
    rv.GetXaxis().SetTitle('Efficiency')
    rv.GetYaxis().SetTitle('Links')
    for plot in plots:
        for xbin in range(plot.GetNbinsX()):
            for ybin in range(plot.GetNbinsY()):
                if(plot.GetBinEntries(plot.GetBin(xbin,ybin))==0):
                    continue
                rv.Fill(plot.GetBinContent(xbin,ybin))
    return [rv]