PXDHitErrors.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
 
 
 
import math
import basf2 as b2
 
# Some ROOT tools
import ROOT
from ROOT import Belle2
 
 
class PXDHitErrors(b2.Module):
 
    """A simple module to check the reconstruction of PXDTrueHits."""
 
    def __init__(self):
        """Initialize the module"""
 
        super(PXDHitErrors, self).__init__()
        
        self.filefile = open('PXDHitErrorOutput.txt', 'w')
        
        self.vxdid_factorsvxdid_factors = (8192, 256, 32)
        
        self.fHistofHisto = ROOT.TFile('PXDPulls.root', 'RECREATE')
        
        self.h_pull_uh_pull_u = ROOT.TH1F('h_pull_u', 'Pulls in u', 150, -10, 5)
        
        self.h_pull_vh_pull_v = ROOT.TH1F('h_pull_v', 'Pulls in v', 100, -5, 5)
 
    def beginRun(self):
        """ Write legend for file columns """
 
        self.filefile.write('vxd.id layer ladder sensor truehit.index cluster.index ')
        self.filefile.write('truehit.u truehit.v truehit.time truehit.charge theta.u theta.v ')
        self.filefile.write('u v u.error v.error rho charge seed size u.size v.size u.pull v.pull\n')
 
    def event(self):
        """Find clusters with a truehit and print some stats."""
 
        truehits = Belle2.PyStoreArray('PXDTrueHits')
        # nTruehits = truehits.getEntries()
        clusters = Belle2.PyStoreArray('PXDClusters')
        nClusters = clusters.getEntries()
        # digits = Belle2.PyStoreArray('PXDDigits')
        # nDigits = digits.getEntries()
        relClustersToTrueHits = \
            Belle2.PyRelationArray('PXDClustersToPXDTrueHits')
        # nClusterRelations = relClustersToTrueHits.getEntries()
        # relClustersToDigits = Belle2.PyRelationArray('PXDClustersToPXDDigits')
        # nDigitRelations = relClustersToDigits.getEntries()
 
        # Start with clusters and use the relation to get the corresponding
        # digits and truehits.
        for cluster_index in range(nClusters):
            cluster = clusters[cluster_index]
            cluster_truehits = \
                relClustersToTrueHits.getToIndices(cluster_index)
 
            # Here we ask only for clusters with exactly one TrueHit.
            # We don't want combined clusters!
            if len(cluster_truehits) != 1:
                continue
 
            for truehit_index in cluster_truehits:
                truehit = truehits[truehit_index]
                # Now let's store some data
                s = ''
                # Sesnor identification
                sensorID = truehit.getRawSensorID()
                [layer, ladder, sensor] = self.decodedecode(sensorID)
 
                s_id = '{sID} {layer} {ladder} {sensor} {indexT:4d} {indexC:4d} '.format(
                    sID=sensorID,
                    layer=layer,
                    ladder=ladder,
                    sensor=sensor,
                    indexT=truehit_index,
                    indexC=cluster_index,
                )
                s += s_id
                # TrueHit information
                thetaU = math.atan2(truehit.getExitU() - truehit.getEntryU(),
                                    0.0075)
                thetaV = math.atan2(truehit.getExitV() - truehit.getEntryV(),
                                    0.0075)
                s_th = '{uTH:10.5f} {vTH:10.5f} {tTH:10.2f} {eTH:10.7f} '.format(
                    uTH=truehit.getU(), vTH=truehit.getV(), tTH=truehit.getGlobalTime(),
                    eTH=truehit.getEnergyDep()) + '{thetaU:6.3f} {thetaV:6.3f} '.format(thetaU=thetaU, thetaV=thetaV)
                s += s_th
                # Cluster information
                cluster_pull_u = 0
                cluster_pull_v = 0
                try:
                    cluster_pull_u = (cluster.getU() - truehit.getU()) \
                        / cluster.getUSigma()
                    cluster_pull_v = (cluster.getV() - truehit.getV()) \
                        / cluster.getVSigma()
                except ZeroDivisionError:
                    if cluster.getUSigma() < 1.0e-8:
                        b2.B2ERROR('Zero error in u, clsize {cl}.'.format(cl=cluster.getUSize()))
                    else:
                        b2.B2ERROR('Zero error in v, clsize {cl}.'.format(cl=cluster.getVSize()))
 
                s_cl = \
                    '{u:10.5f} {v:10.5f} {uEr:10.5f} {vEr:10.5f} {rho:10.4f} '.format(
                        u=cluster.getU(), v=cluster.getV(), uEr=cluster.getUSigma(),
                        vEr=cluster.getVSigma(), rho=cluster.getRho()) \
                    + '{eC:9.1f} {eSeed:9.1f} {size:5d} {uSize:5d} {vSize:5d} '.format(
                        eC=cluster.getCharge(), eSeed=cluster.getSeedCharge(), size=cluster.getSize(),
                        uSize=cluster.getUSize(), vSize=cluster.getVSize()) \
                    + '{uPull:10.3f} {vPull:10.3f}'.format(
                        uPull=cluster_pull_u, vPull=cluster_pull_v)
                s += s_cl
                # NO DIGITS by now.
                s += '\n'
                self.filefile.write(s)
                if cluster.getUSize() == 2:
                    self.h_pull_uh_pull_u.Fill(cluster_pull_u)
                if cluster.getVSize() == 2:
                    self.h_pull_vh_pull_v.Fill(cluster_pull_v)
 
    def terminate(self):
        """ Close the output file."""
 
        self.filefile.close()
        # Save histograms to file
        self.fHistofHisto.cd()
        self.h_pull_uh_pull_u.Write()
        self.h_pull_vh_pull_v.Write()
        self.fHistofHisto.Flush()
        self.fHistofHisto.Close()
 
    def decode(self, vxdid):
        """ Utility to decode sensor IDs """
 
        result = []
        for f in self.vxdid_factorsvxdid_factors:
            result.append(vxdid / f)
            vxdid = vxdid % f
 
        return result