SVDValidationTTreeStrip.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
 
 
 
"""
<header>
  <description>
    This module is used for the SVD validation.
    It gets information about digits, saving
    in a ttree in a ROOT file.
  </description>
  <noexecute>SVD validation helper class</noexecute>
</header>
"""
import xml.etree.ElementTree as ET
 
import basf2 as b2
 
# Some ROOT tools
import ROOT
from ROOT import Belle2  # make Belle2 namespace available
from ROOT import gROOT, addressof
 
# Define a ROOT struct to hold output data in the TTree
gROOT.ProcessLine('struct EventDataStrip {\
    int sensor_id;\
    int layer;\
    int ladder;\
    int sensor;\
    int sensor_type;\
    int strip_dir;\
    float strip_charge;\
    int strip_noise;\
    };')
 
from ROOT import EventDataStrip  # noqa
 
 
class SVDValidationTTreeStrip(b2.Module):
    '''class to create the strip ttree'''
 
    def __init__(self):
        """Initialize the module"""
 
        super(SVDValidationTTreeStrip, self).__init__()
        
        self.filefile = ROOT.TFile('../SVDValidationTTreeStrip.root', 'recreate')
        
        self.treetree = ROOT.TTree('tree', 'Event data of SVD validation events')
        
        self.datadata = EventDataStrip()
 
        # Declare tree branches
        for key in EventDataStrip.__dict__:
            if '__' not in key:
                formstring = '/F'
                if isinstance(self.datadata.__getattribute__(key), int):
                    formstring = '/I'
                self.treetree.Branch(key, addressof(self.datadata, key), key + formstring)
 
    def event(self):
        """Find digit with a cluster and save needed information"""
        # Before starting iterating on clusters gets noise value from xml file
        # so that it doesn't have to be repeated for every digit
        tree = ET.parse(Belle2.FileSystem.findFile('svd/data/SVD-Components.xml'))
        root = tree.getroot()
        for sensor in root.findall('Sensor'):
            if sensor.get('type') == 'Layer3':
                if len(sensor.findall('Active')) == 1:
                    active = sensor.find('Active')
                    NoiseULayer3 = int(active.find('ElectronicNoiseU').text)
                    NoiseVLayer3 = int(active.find('ElectronicNoiseV').text)
        for sensorbase in root.iter('SensorBase'):
            if sensorbase.get('type') == 'Barrel':
                active = sensorbase.find('Active')
                NoiseUBarrel = int(active.find('ElectronicNoiseU').text)
                NoiseVBarrel = int(active.find('ElectronicNoiseV').text)
            elif sensorbase.get('type') == 'Slanted':
                active = sensorbase.find('Active')
                NoiseUSlanted = int(active.find('ElectronicNoiseU').text)
                NoiseVSlanted = int(active.find('ElectronicNoiseV').text)
 
        # Start with clusters and use the relation to get the corresponding
        # digits
        clusters = Belle2.PyStoreArray('SVDClusters')
        for cluster in clusters:
 
            cls_strip_ids = []
 
            cluster_truehits = cluster.getRelationsTo('SVDTrueHits')
            # We want only clusters with exactly one associated TrueHit
            if len(cluster_truehits) != 1:
                continue
            digits = cluster.getRelationsTo('SVDRecoDigits')
 
            # get all the strip IDs of this cluster
            for digit in digits:
                if digit.getCellID() not in cls_strip_ids:
                    cls_strip_ids.append(digit.getCellID())
 
            # get the strip charge as the highest charge among its digits
            for strip_id in cls_strip_ids:
                # print("strip_id is : " + str(strip_id))
                strip_charge = 0
                for digit in digits:
                    if strip_id != digit.getCellID():
                        continue
 
                    # print("this digit's charge: " + str(digit.getCharge()))
 
                    if(digit.getCharge() > strip_charge):
                        strip_charge = digit.getCharge()
 
                # Sensor identification
                sensorID = cluster.getSensorID()
                self.datadata.sensor_id = int(sensorID)
                sensorNum = sensorID.getSensorNumber()
                self.datadata.sensor = sensorNum
                layerNum = sensorID.getLayerNumber()
                self.datadata.layer = layerNum
                if (layerNum == 3):
                    sensorType = 1
                else:
                    if (sensorNum == 1):
                        sensorType = 0
                    else:
                        sensorType = 1
                self.datadata.sensor_type = sensorType
                ladderNum = sensorID.getLadderNumber()
                self.datadata.ladder = ladderNum
                self.datadata.strip_charge = strip_charge
                # Find what noise value should be used
                # depending on layer and sensor number
                if digit.isUStrip():
                    strip_dir = 0
                    if (layerNum == 3):
                        noise = NoiseULayer3
                    else:
                        if (sensorNum == 1):
                            noise = NoiseUSlanted
                        else:
                            noise = NoiseUBarrel
                else:
                    strip_dir = 1
                    if (layerNum == 3):
                        noise = NoiseVLayer3
                    else:
                        if (sensorNum == 1):
                            noise = NoiseVSlanted
                        else:
                            noise = NoiseVBarrel
                self.datadata.strip_dir = strip_dir
                self.datadata.strip_noise = noise
                # Fill tree
                self.filefile.cd()
                self.treetree.Fill()
 
    def terminate(self):
        """Close the output file. """
        self.filefile.cd()
        self.filefile.Write()
        self.filefile.Close()