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Analysis_SiPM_Bar.py
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import numpy as np
import os, re, shutil
import argparse
import itertools
#from prettytable import PrettyTable
import ROOT as rt
from root_numpy import tree2array, tree2rec
from lib.histo_utilities import create_TH1D, create_TH2D, quantile, rootTH2_to_np
from lib.cebefo_style import cebefo_style, Set_2D_colz_graphics
donotdelete = []
def parsing():
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input_file", type=str, help="input root file, if -N is given XX is replaced with runNumber", nargs='+')
parser.add_argument("-C", "--config", type=str, default='config/FNAL_TB_1811/VME_SiPM.txt', help="Config file")
parser.add_argument("-S", "--save_loc", type=str, default='./out_plots/', help="Saving location")
parser.add_argument("-N", "--runs_interval", default=None, help="Runs to run", nargs='+')
parser.add_argument("--figformat", type=str, default='.png', help="Format of output figures")
parser.add_argument("-B", "--batch", default=True, action='store_false', help="Root batch mode")
parser.add_argument("-v", "--verbose", default=False, action='store_true', help="Activate verbose mode")
args = parser.parse_args()
return args
class Config:
def __init__(self, infile):
self.raw_conf = open(infile, 'r').readlines()
self.channel = {}
self.ch_ordered = []
self.plots = []
self.labels = []
self.xy_center = [0,0, 15, 15]
for i, l in enumerate(self.raw_conf):
if l[0] == '#':
continue
l = l[0:-1].split()
if '-->Print' in l[0]:
self.plots = l[1:]
elif '-->XYcenter' in l[0]:
self.xy_center = [float(l[1]), float(l[2]), float(l[3]), float(l[4])]
elif '-->SpaceBinSize' in l[0]:
self.space_bin_size = float(l[1])
elif '-->TracksCleaning' in l[0]:
self.TracksCleaning = {}
cuts = ''
for aux in l[1:]:
if aux[:7] == 'CutOnCh':
self.TracksCleaning['ch'] = int(aux[7:])
print 'Cuts from ch', int(aux[7:]), 'will be used for cleaning tracks'
else:
cuts += aux + ' && '
if len(cuts) > 3:
self.TracksCleaning['cuts'] = cuts[:-4]
print 'Cleaning tracks with:', cuts[:-4]
else:
self.TracksCleaning['cuts'] = ''
elif '-->TracksConsistency' in l[0]:
self.TracksConsistency = {}
self.TracksConsistency['Bad'] = 0
self.TracksConsistency['Checked'] = 0
for aux in l[1:]:
if aux[:5] == 'RefCh':
self.TracksConsistency['RefCh'] = int(aux[5:])
# print 'Tracks consistency: ch', int(aux[5:]), 'will be checked'
if aux == 'List':
self.TracksConsistency['List'] = 1
elif '-->Var' in l[0]:
if not hasattr(self, 'Var'):
self.Var = {}
self.Var[l[0][7:-1]] = l[1:]
elif len(self.labels) == 0:
self.labels = l[1:]
else:
n = int(l[0])
self.ch_ordered.append(n)
l = l[1:]
self.channel[n] = {}
for k, val in zip(self.labels, l):
if 'idx' in k:
self.channel[n][k] = int(val)
else:
self.channel[n][k] = val
class Bauble:
def __init__(self):
pass
def define_range_around_peak(h, perc = [0.4, 0.4], Range=[0.0, 99999.0]):
h_aux = h.Clone('h_aux')
for i in range(1, h_aux.GetNbinsX()+1):
if h_aux.GetBinCenter(i) < Range[0] or h_aux.GetBinCenter(i) > Range[1]:
h_aux.SetBinContent(i, 0.)
SS = rt.TSpectrum()
n_pks = SS.Search(h_aux, 2, "", 0.2)
i_max = 0
max = -1
y = SS.GetPositionY()
x = SS.GetPositionX()
found = False
for i in range(n_pks):
if y[i] > max and x > Range[0] and x < Range[1]:
max = y[i]
i_max = i
found = True
if found:
n_pk = h.FindBin(SS.GetPositionX()[i_max])
else:
n_pk = h_aux.GetMaximumBin()
thr = perc[0] * h.GetBinContent(n_pk)
n_low = n_pk
while h.GetBinContent(n_low) > thr and n_low > 1:
n_low -= 1
x_low = h.GetBinLowEdge(n_low)
thr = perc[1] * h.GetBinContent(n_pk)
n_up = n_pk
while h.GetBinContent(n_up) > thr and n_up < h.GetNbinsX():
n_up += 1
x_up = h.GetBinLowEdge(n_up) + h.GetBinWidth(n_up)
return x_low, x_up, n_pk
def fill_TimeResHisto(k, dt, h2D, out_list, tagin, title_tag, canvas, save_canvas=True):
q_up, e_up = quantile(1000*dt, 0.15)
q_dwn, e_dwn = quantile(1000*dt, 0.85)
if q_up == None or q_dwn == None:
print '[WARNING] Quantile estimation failed'
return
disp_est = 0.5*np.abs(q_up - q_dwn)
disp_unc = 0.5*np.hypot(e_up, e_dwn)
out_list.append([disp_est, disp_unc])
ix = h2D.GetXaxis().FindBin(0.5*(xu+xd))
iy = h2D.GetYaxis().FindBin(0.5*(yu+yd))
ig = h2D.GetBin(ix, iy)
h2D.SetBinContent(ig, disp_est)
h2D.SetBinError(ig, disp_unc)
if save_canvas:
median = np.percentile(dt, 50)
width = np.abs(np.percentile(dt, 10) - np.percentile(dt, 90))
tag = tagin+'_'+str(k)+'_'+str(ib)
h = create_TH1D(dt, 'h_'+tag,
title_tag + ' time resolution - x #in [{:.1f}, {:.1f}], y #in [{:.1f}, {:.1f}]'.format(xd, xu, yd, yu),
binning = [ None, median-2*width, median+2*width],
axis_title = [var_dT + ' [ns]', 'Events'])
canvas['c_'+tag] = rt.TCanvas('c_'+tag, 'c_'+tag, 800, 600)
h.Fit('gaus', 'LQR','', np.percentile(dt, 20), np.percentile(dt, 98))
h = h.DrawCopy('LE')
l = rt.TLatex()
l.SetTextSize(0.04);
l.DrawLatexNDC(0.15, 0.85, 'Unbiased dispersion: {:.1f} #pm {:.1f}'.format(disp_est, disp_unc))
canvas['c_'+tag].Update()
canvas['c_'+tag].SaveAs(out_dir + '/'+tagin+'_bar{:02d}/'.format(k)+tag+'.png')
def Print2D_1D_canvas(l_h2D, l_h1D, outfile, space_lim = None):
can = rt.TCanvas('c', 'c', 800, 500)
can.Divide(2,1)
padL = can.cd(1)
padL.Divide(1,3)
pad = padL.cd(1)
pad.SetRightMargin(0.15)
l_h2D[0].DrawCopy('colz1')
pad = padL.cd(2)
pad.SetRightMargin(0.15)
l_h2D[1].DrawCopy('colz1')
pad = padL.cd(3)
pad.SetRightMargin(0.15)
l_h2D[2].DrawCopy('colz1')
pad = can.cd(2)
leg = rt.TLegend(0.85,0.8,0.95,0.92)
l_h1D[0].SetLineColor(1)
l_h1D[0].Draw()
leg.AddEntry(l_h1D[0], 'L+R', 'l')
l_h1D[1].SetLineColor(2)
l_h1D[1].Draw('SAME')
leg.AddEntry(l_h1D[1], 'L', 'l')
l_h1D[2].SetLineColor(4)
l_h1D[2].Draw('SAME')
leg.AddEntry(l_h1D[2], 'R', 'l')
leg.Draw()
can.Update()
can.SaveAs(outfile)
if __name__ == '__main__':
cebefo_style()
rt.gErrorIgnoreLevel = 6000
args = parsing()
if args.batch:
rt.gROOT.SetBatch()
if args.figformat[0] != '.':
args.figformat = '.'+args.figformat
figform = args.figformat
configurations = Config(args.config)
if args.runs_interval==None:
aux = re.search(r'Run[0-9]+', args.input_file[0])
flag = aux.group(0)[3:]
if len(args.input_file) > 1:
aux = re.search(r'Run[0-9]+', args.input_file[-1])
flag += '_'+aux.group(0)[3:]
elif len(args.runs_interval)==1 and not args.runs_interval[0].endswith('.txt'):
N = args.runs_interval[0]
args.input_file = [args.input_file[0].replace('XXX', str(N))]
flag = '_'+str(N)
else:
if args.runs_interval[0].endswith('.txt'):
runs = np.sort(np.loadtxt(args.runs_interval[0]).astype(np.int))
runs = list(runs)
elif len(args.runs_interval)==2 and args.runs_interval[0] < args.runs_interval[1]:
runs = range(int(args.runs_interval[0]), int(args.runs_interval[1])+1)
else:
runs = args.runs_interval
file_template = args.input_file[0]
args.input_file = map(lambda x: file_template.replace('XXX', str(x)), runs)
if len(runs) > 1:
flag = '_' + str(runs[0]) + '-' + str(runs[-1])
else:
flag = '_' + str(runs[0])
save_loc = args.save_loc
if save_loc[-1] != '/':
save_loc += '/'
if not os.path.isdir(save_loc):
os.system('mkdir -p '+save_loc)
shutil.copy('lib/index.php', out_dir+'index.php')
out_dir = save_loc + 'Run' + str(flag) + '_' + os.path.basename(args.config[:-4])
if not os.path.exists(out_dir):
os.mkdir(out_dir)
shutil.copy('lib/index.php', out_dir+'/index.php')
chain = rt.TChain('pulse')
chain.tree_name = tree_name = 'pulse'
for i, f in enumerate(args.input_file):
root_file = rt.TFile.Open( f,"READ");
if not root_file:
print "[ERROR]: Input file not found:", f
continue
#print root_file
if not (root_file.GetListOfKeys().At(0)):
print 'Skipping file with no streamer Info!!'
continue
tree_name = root_file.GetListOfKeys().At(0).GetName()
if i == 0:
if tree_name != 'pulse':
print 'Change'
chain = rt.TChain(tree_name)
chain.tree_name = tree_name
elif tree_name != chain.tree_name:
print 'Skipping', f, ' for tree name incompatibility'
continue
chain.Add(f)
canvas = {}
canvas['amp'] = {}
canvas['int'] = {}
canvas['risetime'] = {}
canvas['wave'] = {}
canvas['pos'] = {}
canvas['pos_sel'] = {}
canvas['amp_w_pos'] = {}
canvas['int_w_pos'] = {}
canvas['t_res_raw'] = {}
canvas['space_corr'] = {}
canvas['t_res_space'] = {}
canvas['dt_vs_amp'] = {}
canvas['dtcorr_vs_amp'] = {}
canvas['dt_corr'] = {}
rt.gStyle.SetStatY(0.95)
rt.gStyle.SetStatX(0.85)
rt.gStyle.SetStatW(0.15)
rt.gStyle.SetStatH(0.1)
rt.gStyle.SetHistLineWidth(2)
'''=========================== AllTracks ==========================='''
if 'AllTracks' in configurations.plots:
name = 'h_alltracks'
title = 'All tracks at z_DUT[0]'
var = 'y_dut[0]:x_dut[0]'
dy = configurations.xy_center[1]
dx = configurations.xy_center[0]
width = configurations.xy_center[2]
h = rt.TH2D(name, title, 100, -width+dx, width+dx, 100, -width+dy, width+dy)
h.SetXTitle('x [mm]')
h.SetYTitle('y [mm]')
sel = ''
if hasattr(configurations, 'TracksCleaning'):
sel += configurations.TracksCleaning['cuts']
chain.Project(name, var, sel)
canvas['AllTracks'] = rt.TCanvas('c_allTracks', 'c_allTracks', 800, 600)
h.DrawCopy('colz')
canvas['AllTracks'].Update()
canvas['AllTracks'].SaveAs(out_dir + '/AllTracks.png')
print '\n======================= Channels selection loop ==========================='
for k in configurations.ch_ordered:
print '---> Channel', k
conf = configurations.channel[k]
line = rt.TLine()
line.SetLineColor(6)
line.SetLineWidth(2)
line.SetLineStyle(10)
selection = '(amp[{nch}] != 0 && integral[{nch}] != 0)'.format(nch=k)
#selection='1'
'''=========================== Amplitude ==========================='''
if 'Amp' in configurations.plots:
name = 'h_amp_'+str(k)
title = 'Amplitude channel '+str(k)
amp_aux = np.concatenate(list(tree2array( chain, 'amp['+str(k)+']')))
h = rt.TH1D(name, title, 80, np.percentile(amp_aux, 1), min(990., np.percentile(amp_aux, 99.99)))
h.SetXTitle('Peak amplitude [mV]')
h.SetYTitle('Events / {:.1f} mV'.format(h.GetBinWidth(1)))
chain.Project(name, 'amp['+str(k)+']')
Range = [0.0, 9999999.0]
if 'cut' in conf.keys():
if conf['cut'][0] in ['a', 'A']:
if 'min' in conf.keys():
Range[0] = float(conf['min'])
if 'max' in conf.keys():
Range[1] = float(conf['max'])
x_low, x_up, n_pk = define_range_around_peak(h, [0.1, 0.1], Range)
canvas['amp'][k] = rt.TCanvas('c_amp_'+str(k), 'c_amp_'+str(k), 800, 600)
h.DrawCopy('E')
gr = rt.TGraph(1)
gr.SetPoint(0, h.GetBinCenter(n_pk), h.GetBinContent(n_pk))
gr.SetMarkerStyle(23)
gr.SetMarkerColor(2)
gr.Draw("P")
if h.GetMaximum() > 5*h.GetBinContent(n_pk):
canvas['amp'][k].SetLogy()
if 'cut' in conf.keys():
if conf['cut'][0] in ['a', 'A']:
selection += ' && (amp[{}]>{} && amp[{}]<{})'.format(k, x_low, k, x_up)
line.DrawLine(x_low, 0, x_low, h.GetMaximum())
line.DrawLine(x_up, 0, x_up, h.GetMaximum())
canvas['amp'][k].Update()
canvas['amp'][k].SaveAs(out_dir + '/Amp_ch{:02d}'.format(k) + figform)
'''=========================== Integral ==========================='''
if 'Int' in configurations.plots:
canvas['int'][k] = rt.TCanvas('c_int_'+str(k), 'c_int_'+str(k), 800, 600)
name = 'h_int_'+str(k)
title = 'Integral channel '+str(k)
int_aux = -np.concatenate(list(tree2array(chain, 'integral['+str(k)+']', 'integral['+str(k)+'] != 0')))
h = rt.TH1D(name, title, 100, np.percentile(int_aux, 0.1), np.max(int_aux))
h.SetXTitle('Integral [pC]')
h.SetYTitle('Events / {:.1f} pC'.format(h.GetBinWidth(1)))
chain.Project(name, '-integral['+str(k)+']', '-integral['+str(k)+'] != 0')
Range = [0.0, 9999999.0]
if 'cut' in conf.keys():
if conf['cut'][0] in ['i', 'I']:
if 'min' in conf.keys():
Range[0] = float(conf['min'])
if 'max' in conf.keys():
Range[1] = float(conf['max'])
x_low, x_up, n_pk = define_range_around_peak(h, [0.25, 0.3], Range)
h.DrawCopy('E')
gr = rt.TGraph(1)
gr.SetPoint(0, h.GetBinCenter(n_pk), h.GetBinContent(n_pk))
gr.SetMarkerStyle(23)
gr.SetMarkerColor(2)
gr.Draw("P")
if(h.GetMaximum() - h.GetMinimum() > 5000):
canvas['int'][k].SetLogy()
if 'cut' in conf.keys():
if conf['cut'][0] in ['i', 'I']:
selection += ' && (-integral[{}]>{} && -integral[{}]<{})'.format(k, x_low, k, x_up)
line.DrawLine(x_low, 0, x_low, h.GetMaximum())
line.DrawLine(x_up, 0, x_up, h.GetMaximum())
canvas['int'][k].Update()
canvas['int'][k].SaveAs(out_dir + '/Int_ch{:02d}'.format(k)+figform)
'''=========================== Risetime ======================================='''
if 'Risetime' in configurations.plots:
print '\tRisetime'
canvas['risetime'][k] = rt.TCanvas('c_risetime_'+str(k), 'c_int_'+str(k), 800, 600)
nbins = 100
name = 'h_risetime_' + str(k)
title = 'Risetime ch' + str(k)
rise_aux = (tree2array(chain, 'risetime['+str(k)+']').view(np.recarray).T)[0]
bin_w = 200.0/1024
lower_bound = np.percentile(rise_aux, 5) - bin_w*0.5
upper_bound = np.percentile(rise_aux, 99) + bin_w*0.5
N_bins = (upper_bound - lower_bound) / bin_w
h = rt.TH1D(name, title, int(N_bins), lower_bound, upper_bound)
h.SetXTitle('Risetime [ns]')
h.SetYTitle('Events / {:.1f} ns'.format(h.GetBinWidth(1)))
if conf['idx_ref'] == -1:#do not apply cut again on reference channels
cut = selection
else:
cut = selection + '&&' + configurations.channel[conf['idx_ref']]['sel']
chain.Project(name, 'risetime['+str(k)+']', cut)
if (h.GetMaximum() - h.GetMinimum() > 50000):
canvas['risetime'][k].SetLogy()
##ploting histogram
h.DrawCopy('lE')
canvas['risetime'][k].Update()
canvas['risetime'][k].SaveAs(out_dir+'/risetime_ch{:02d}'.format(k)+figform)
'''=========================== Waveform color chart ==========================='''
if 'WaveColor' in configurations.plots:
name = 'h_wave_'+str(k)
title = 'Waveform color chart channel '+str(k)
h = rt.TH2D(name, title, 250, 0, 210, 250, -1100, 500)
h.SetXTitle('Time [ns]')
h.SetYTitle('Voltage [mV]')
N_max = chain.GetEntries()
N_max = max(500, int(N_max*0.1))
chain.Project(name, 'channel[{}]:time[{}]'.format(k,conf['idx_time'], 'Entry$ < {}'.format(N_max)))
h.SetStats(0)
canvas['wave'][k] = rt.TCanvas('c_wave_'+str(k), 'c_wave_'+str(k), 800, 600)
if(h.GetMaximum() - h.GetMinimum() > 5000):
canvas['wave'][k].SetLogz()
h.DrawCopy('colz')
canvas['wave'][k].Update()
canvas['wave'][k].SaveAs(out_dir + '/Waveform_ch{:02d}'.format(k)+figform)
'''=========================== Track position ==========================='''
if conf['idx_dut'] >= 0:
if hasattr(configurations, 'TracksCleaning'):
selection += ' && ' + configurations.TracksCleaning['cuts']
if 'ch' in configurations.TracksCleaning.keys():
ch = configurations.TracksCleaning['ch']
if ch < k:
selection += ' && ' + configurations.channel[ch]['sel']
var = 'y_dut[{}]:x_dut[{}]'.format(conf['idx_dut'], conf['idx_dut'])
dy = configurations.xy_center[1]
dx = configurations.xy_center[0]
width_x = configurations.xy_center[2]
width_y = configurations.xy_center[3]
N_bins = [100, 50]
if 'PosRaw' in configurations.plots:
name = 'h_pos_'+str(k)
title = 'Track position at z_DUT[' + str(conf['idx_dut']) + '], for channel {} selected event'.format(k)
h = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h.SetXTitle('x [mm]')
h.SetYTitle('y [mm]')
h.SetZTitle('Events')
chain.Project(name, var, selection)
name = 'h_pos1D_'+str(k)
title = 'Track distribution at z_DUT[' + str(conf['idx_dut']) + '], for channel {} selected event'.format(k)
h_1d = rt.TH1D(name, title, N_bins[0], -width+dx, width+dx)
chain.Project(name, 'x_dut[{}]'.format(conf['idx_dut']), selection)
h_1d.SetStats(0)
h_1d.SetXTitle('x [mm]')
h_1d.SetYTitle('Events / {:.1f} mm'.format(2*width/N_bins[0]))
canvas['pos'][k] = rt.TCanvas('c_pos_'+str(k), 'c_pos_'+str(k), 800, 600)
canvas['pos'][k].Divide(1,2)
pad = canvas['pos'][k].cd(1)
pad.SetRightMargin(0.15)
h.DrawCopy('colz')
pad = canvas['pos'][k].cd(2)
pad.SetRightMargin(0.15)
h_1d.DrawCopy()
canvas['pos'][k].Update()
canvas['pos'][k].SaveAs(out_dir + '/PositionXY_raw_ch{:02d}'.format(k)+figform)
if (('PosSel' in configurations.plots) or ('PosSel+' in configurations.plots)) and not (conf['type'][:3] in ['tim', 'amp']):
canvas['pos_sel'][k] = rt.TCanvas('c_pos_sel_'+str(k), 'c_pos_sel_'+str(k), 800, 600)
canvas['pos_sel'][k].Divide(1,2)
pad = canvas['pos_sel'][k].cd(1)
pad.SetRightMargin(0.15)
name = 'h_pos_sel'
title = 'Events average selection efficiency'
h = rt.TH3D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 11, -0.05, 1.05)
chain.Project(name, selection + ':' + var, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
h.SetYTitle('y [mm]')
h.SetXTitle('x [mm]')
h.SetZTitle('Selection efficiency')
h.DrawCopy('colz')
name = 'h_pos_sel1D'
title = 'Events average selection efficiency'
h = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, 11, -0.05, 1.05)
sel_trk = selection
sel_now = ''
if 'space_sel' in conf.keys():
sel_trk += ' && ' + conf['space_sel']['cut_y']
sel_now = conf['space_sel']['cut_y']
var1D = var[var.find(':')+1:]
chain.Project('h_pos_sel1D', selection + ':' + var1D, sel_now)
h = h.ProfileX()
h.SetYTitle('Selection efficiency')
h.SetXTitle('x [mm]')
h.SetStats(0)
pad = canvas['pos_sel'][k].cd(2)
pad.SetRightMargin(0.15)
h.DrawCopy()
canvas['pos_sel'][k].Update()
canvas['pos_sel'][k].SaveAs(out_dir + '/PositionXY_sel_ch{:02d}'.format(k)+figform)
if 'PosWeight' in configurations.plots and not (conf['type'][:3] in ['tim', 'amp']):
h = rt.TH2D('h_amp_aux'+str(k), title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
chain.Project('h_amp_aux'+str(k), var, selection)
''' -------------Avg amp-----------'''
name = 'h_amp_weight_pos_'+str(k)
title = 'Average peak amplitude channel {} in selected event'.format(k)
h_w = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h_w.SetXTitle('x [mm]')
h_w.SetYTitle('y [mm]')
h_w.SetZTitle('Average Amplitude [mV]')
weights = '('+ selection +') * amp[' + str(k) + ']'
chain.Project(name, var, weights)
h_w.Divide(h)
h_w.GetZaxis().SetRangeUser(h_w.GetMinimum(10), h_w.GetMaximum())
h_w.SetStats(0)
canvas['amp_w_pos'][k] = rt.TCanvas('c_w_pos_'+str(k), 'c_w_pos_'+str(k), 800, 600)
canvas['amp_w_pos'][k].Divide(1,2)
pad = canvas['amp_w_pos'][k].cd(1)
pad.SetRightMargin(0.15)
h_w.DrawCopy('colz')
pad = canvas['amp_w_pos'][k].cd(2)
pad.SetRightMargin(0.15)
h1D = rt.TProfile('h_aux', '', N_bins[0], -width_x+dx, width_x+dx)
h1D.SetXTitle('x [mm]')
h1D.SetYTitle('Amplitude [mV]')
chain.Project('h_aux', 'amp[' + str(k) + ']' + ':' + var1D, sel_trk, 'prof')
h1D.SetStats(0)
h1D.DrawCopy()
canvas['amp_w_pos'][k].Update()
canvas['amp_w_pos'][k].SaveAs(out_dir + '/PositionXY_amp_weight_ch{:02d}'.format(k)+figform)
''' -------------Avg integral-----------'''
name = 'h_int_weight_pos_'+str(k)
title = 'Average integral channel {} in selected event'.format(k)
h_w = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h_w.SetXTitle('x [mm]')
h_w.SetYTitle('y [mm]')
h_w.SetZTitle('Average integral [pC]')
weights = '('+ selection +') * -integral[' + str(k) + ']'
chain.Project(name, var, weights)
h_w.Divide(h)
arr, pos = rootTH2_to_np(h_w)
arr = arr[arr!=0]
h_w.GetZaxis().SetRangeUser(np.percentile(arr,10), np.percentile(arr,99))
h_w.SetStats(0)
canvas['int_w_pos'][k] = rt.TCanvas('c_int_w_pos_'+str(k), 'c_int_w_pos_'+str(k), 800, 600)
canvas['int_w_pos'][k].Divide(1,2)
pad = canvas['int_w_pos'][k].cd(1)
pad.SetRightMargin(0.15)
h_w.DrawCopy('colz')
pad = canvas['int_w_pos'][k].cd(2)
pad.SetRightMargin(0.15)
h1D = rt.TProfile('h_aux', '', N_bins[0], -width_x+dx, width_x+dx)
h1D.SetXTitle('x [mm]')
h1D.SetYTitle('Integral [pC]')
chain.Project('h_aux', '-integral[' + str(k) + ']' + ':' + var1D, sel_trk, 'prof')
h1D.SetStats(0)
h1D.DrawCopy()
canvas['int_w_pos'][k].Update()
canvas['int_w_pos'][k].SaveAs(out_dir + '/PositionXY_int_weight_ch{:02d}'.format(k)+figform)
''' -------------Avg risetime-----------'''
name = 'h_risetime_weight_pos_'+str(k)
title = 'Average risetime channel {} in selected event'.format(k)
h_w = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h_w.SetXTitle('x [mm]')
h_w.SetYTitle('y [mm]')
h_w.SetZTitle('Average Slew rate [mV/ns]')
weights = '('+ selection +') * -risetime[' + str(k) + ']'
chain.Project(name, var, weights)
h_w.Divide(h)
arr, pos = rootTH2_to_np(h_w)
arr = arr[arr!=0]
h_w.GetZaxis().SetRangeUser(np.percentile(arr,10), np.percentile(arr,99))
h_w.SetStats(0)
canvas['int_w_pos'][k] = rt.TCanvas('c_risetime_w_pos_'+str(k), 'c_risetime_w_pos_'+str(k), 800, 600)
canvas['int_w_pos'][k].Divide(1,2)
pad = canvas['int_w_pos'][k].cd(1)
pad.SetRightMargin(0.15)
h_w.DrawCopy('colz')
pad = canvas['int_w_pos'][k].cd(2)
pad.SetRightMargin(0.15)
h1D = rt.TProfile('h_aux', '', N_bins[0], -width_x+dx, width_x+dx)
h1D.SetXTitle('x [mm]')
h1D.SetYTitle('Slew rate [mV/ns]')
chain.Project('h_aux', '-risetime[' + str(k) + ']' + ':' + var1D, sel_trk, 'prof')
h1D.SetStats(0)
h1D.DrawCopy()
canvas['int_w_pos'][k].Update()
canvas['int_w_pos'][k].SaveAs(out_dir + '/PositionXY_risetime_weight_ch{:02d}'.format(k)+figform)
'''=========================== End Selections ==========================='''
conf['sel'] = selection
if args.verbose:
print 'selection:', conf['sel']
# if 'space_sel' in conf.keys():
# print conf['space_sel']['cut']
'''End of single channels selection loop'''
print '\n\n======================= Channel couples performances loop ==========================='
headout_dir = out_dir
best_result = {}
for kL in configurations.ch_ordered:
confL = configurations.channel[kL]
#Look for left SiPM
re_out = re.search(r'time([0-9]+)L', confL['type'])
if (hasattr(re_out, 'group')) and confL['idx_ref'] >= 0:
N_bar = int(re_out.group(1))
found = False
for kR in configurations.ch_ordered:
confR = configurations.channel[kR]
re_out = re.search(r'time([0-9]+)R', confR['type'])
if (hasattr(re_out, 'group')):
if int(re_out.group(1)) == N_bar:
found = True
break
if not found:
print 'Ch {} is left of bar {}, but no corresponding right found'.format(kL, N_bar)
continue
else:
continue
print '---> Bar #', N_bar, ': Left ch {} - Right ch {}'.format(kL, kR)
results = []
file_results = open(headout_dir+'/TimeResolution_bar{}.txt'.format(N_bar),'w')
ln = '#avg_time_res, d_avg_time_res, var_time, var_ref, Correction\n'
file_results.write(ln)
best_result[N_bar] = Bauble()
best_result[N_bar].dT = [-1, -1]
best_result[N_bar].var = [None, None]
best_result[N_bar].Correction = None
if confL['idx_ref'] != confR['idx_ref']:
print 'Inconsistency in reference chnnel'
ref_type = configurations.channel[confL['idx_ref']]['type']
BarInfo = Bauble()
BarInfo.sel = [confL['sel'], confR['sel'], configurations.channel[confL['idx_ref']]['sel']]
for kk in configurations.ch_ordered:
aux_conf = configurations.channel[kk]['type']
if 'amp'+str(kL) in aux_conf:
confL['amp_ch'] = kk
BarInfo.sel += [configurations.channel[kk]['sel']]
if 'amp'+str(kR) in aux_conf:
confR['amp_ch'] = kk
BarInfo.sel += [configurations.channel[kk]['sel']]
if not 'amp_ch' in confL.keys():
confL['amp_ch'] = kL
if not 'amp_ch' in confR.keys():
confR['amp_ch'] = kR
''' --------------- Position plots ---------------'''
var = 'y_dut[{}]:x_dut[{}]'.format(confL['idx_dut'], confL['idx_dut'])
dy = configurations.xy_center[1]
dx = configurations.xy_center[0]
width_x = configurations.xy_center[2]
width_y = configurations.xy_center[3]
N_bins = [50, 50]
if ('PosSel' in configurations.plots) or ('PosSel+' in configurations.plots):
can = rt.TCanvas('c_pos_sel_'+str(N_bar), 'c_pos_sel_'+str(N_bar), 800, 500)
can.Divide(2,1)
can.cd(1)
rt.gPad.Divide(1,3)
pad = rt.gPad.cd(1)
pad.SetRightMargin(0.15)
name = 'h_pos_sel'
title = 'Events average selection efficiency (R & L)'
h = rt.TH3D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 11, -0.05, 1.05)
chain.Project(name, ' && '.join(BarInfo.sel) + ':' + var, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
h.SetYTitle('y [mm]')
h.SetXTitle('x [mm]')
h.SetZTitle('Selection efficiency')
h.SetStats(0)
h.DrawCopy('colz')
if ('PosSel+' in configurations.plots) and ('shape' in confL.keys() and 'shape' in confR.keys()):
if confL['shape'] != confR['shape']:
print 'Shape right and left incongruent for bar', N_bar
continue
if not confL['shape'] == 'None':
size = confL['shape'].split('x')
x = h.GetXaxis().GetBinCenter(1) - h.GetXaxis().GetBinWidth(1)*0.51 + float(size[0])
nbx = h.GetXaxis().FindBin(x)
y = h.GetYaxis().GetBinCenter(1) - h.GetYaxis().GetBinWidth(1)*0.51 + float(size[1])
nby = h.GetYaxis().FindBin(y)
arr_h, pos_h = rootTH2_to_np(h, cut=0.2)
# print arr_h
p_max = 0
idx_max = [0, 0]
for iy in range(0, arr_h.shape[0]-nby):
for ix in range(0, arr_h.shape[1]-nbx):
p = np.sum(arr_h[iy:iy+nby, ix:ix+nbx])
if p > p_max:
p_max = p
idx_max = [iy, ix]
avg_prob = p_max/(nbx*nby)
iy, ix = idx_max
x_start = h.GetXaxis().GetBinCenter(ix+1) - 0.5*h.GetXaxis().GetBinWidth(ix+1)
x_stop = h.GetXaxis().GetBinCenter(ix+nbx) + 0.5*h.GetXaxis().GetBinWidth(ix+nbx)
y_start = h.GetYaxis().GetBinCenter(iy+1) - 0.5*h.GetYaxis().GetBinWidth(iy+1)
y_stop = h.GetYaxis().GetBinCenter(iy+nby) + 0.5*h.GetYaxis().GetBinWidth(iy+nby)
best_theta = 0
cx = 0.5*(x_stop + x_start)
cy = 0.5*(y_stop + y_start)
x = '(x_dut[{}] - {})'.format(conf['idx_dut'], cx)
y = '(y_dut[{}] - {})'.format(conf['idx_dut'], cy)
var_template = '{c}*{y} - {s}*{x} + {cy}:{c}*{x} + {s}*{y} + {cx}'
for theta in np.arange(-0.1, 0.1, 0.005):
var_aux = var_template.format(x=x, y=y, c=np.cos(theta), s=np.sin(theta), cy=cy, cx=cx)
h = rt.TH3D('h_aux', title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 2, -0.5, 1.5)
chain.Project('h_aux', ' && '.join(BarInfo.sel) + ':' + var_aux, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
arr_h, pos_h = rootTH2_to_np(h, cut=0.2)
p = np.sum(arr_h[iy:iy+nby, ix:ix+nbx])
if p > p_max:
p_max = p
best_theta = theta
BarInfo.theta_z = best_theta
if args.verbose:
print 'Rotation of {:1.1e} rad detected aroud z'.format(best_theta)
BarInfo.x_rot = '{c}*{x} + {s}*{y} + {cx}'.format(x=x, y=y, c=np.cos(best_theta), s=np.sin(best_theta), cx=cx)
BarInfo.y_rot = '{c}*{y} - {s}*{x} + {cy}'.format(x=x, y=y, c=np.cos(best_theta), s=np.sin(best_theta), cy=cy)
if args.verbose:
print 'x_var:', BarInfo.x_rot
print 'y_var:', BarInfo.y_rot
var = BarInfo.y_rot+':'+BarInfo.x_rot
h = rt.TH3D('h_aux', title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 2, -0.5, 1.5)
chain.Project('h_aux', ' && '.join(BarInfo.sel) + ':' + var, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
h.SetYTitle('y [mm]')
h.SetXTitle('x [mm]')
h.SetZTitle('Selection efficiency')
h.SetStats(0)
h.DrawCopy('colz')
line.SetLineStyle(9)
line.SetLineColor(6)
line.SetLineWidth(2)
line.DrawLine(x_start, y_start, x_stop, y_start)
line.DrawLine(x_start, y_stop, x_stop, y_stop)
line.DrawLine(x_start, y_start, x_start, y_stop)
line.DrawLine(x_stop, y_start, x_stop, y_stop)
BarInfo.space_limits = [x_start, x_stop, y_start, y_stop]
BarInfo.cut_y = '({y} < {h} && {y} > {l})'.format(y=BarInfo.y_rot, l=y_start, h=y_stop)
BarInfo.cut_x = '({x} < {h} && {x} > {l})'.format(x=BarInfo.x_rot, l=x_start, h=x_stop)
if args.verbose:
print 'Space limits:', BarInfo.space_limits
can.cd(1)
pad = rt.gPad.cd(2)
pad.SetRightMargin(0.15)
name = 'h_pos_selL'
title = 'Events average selection efficiency (Left only - ch {})'.format(kL)
h = rt.TH3D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 11, -0.05, 1.05)
chain.Project(name, confL['sel'] + ':' + var, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
h.SetYTitle('y [mm]')
h.SetXTitle('x [mm]')
h.SetZTitle('Selection efficiency')
h.SetStats(0)
h.DrawCopy('colz')
can.cd(1)
pad = rt.gPad.cd(3)
pad.SetRightMargin(0.15)
name = 'h_pos_selR'
title = 'Events average selection efficiency (Right only - ch {})'.format(kR)
h = rt.TH3D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy, 11, -0.05, 1.05)
chain.Project(name, confR['sel'] + ':' + var, configurations.TracksCleaning['cuts'])
h = h.Project3DProfile('yx')
h.SetYTitle('y [mm]')
h.SetXTitle('x [mm]')
h.SetZTitle('Selection efficiency')
h.SetStats(0)
h.DrawCopy('colz')
pad = can.cd(2)
leg = rt.TLegend(0.85,0.8,0.98,0.93)
name = 'h_pos_sel1D'
title = 'Events average selection efficiency within bar area'
h = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, 11, -0.05, 1.05)
sel_trk = ' && '.join(BarInfo.sel)
sel_now = configurations.TracksCleaning['cuts']
if hasattr(BarInfo, 'cut_y'):
sel_now += ' && ' + BarInfo.cut_y
var1D = var[var.find(':')+1:]
chain.Project('h_pos_sel1D', sel_trk + ':' + var1D, sel_now)
h = h.ProfileX()
h.SetYTitle('Selection efficiency')
h.SetXTitle('x [mm]')
h.SetStats(0)
h.SetLineColor(1)
h.GetYaxis().SetRangeUser(0., 1.)
leg.AddEntry(h, 'L+R', 'l')
h.DrawCopy()
h = rt.TH2D(name+'L', title, N_bins[0], -width_x+dx, width_x+dx, 11, -0.05, 1.05)
sel_trk = [BarInfo.sel[0], BarInfo.sel[2]]
if len(BarInfo.sel) > 3:
sel_trk += [configurations.channel[confL['amp_ch']]['sel']]
sel_trk = ' && '.join(sel_trk)
var1D = var[var.find(':')+1:]
chain.Project('h_pos_sel1DL', sel_trk + ':' + var1D, sel_now)
hL = h.ProfileX()
hL.SetStats(0)
hL.SetLineColor(2)
leg.AddEntry(hL, 'L', 'l')
hL.DrawCopy('SAME')
h = rt.TH2D(name+'R', title, N_bins[0], -width_x+dx, width_x+dx, 11, -0.05, 1.05)
sel_trk = [BarInfo.sel[1], BarInfo.sel[2]]
if len(BarInfo.sel) > 3:
sel_trk += [configurations.channel[confR['amp_ch']]['sel']]
sel_trk = ' && '.join(sel_trk)
var1D = var[var.find(':')+1:]
chain.Project('h_pos_sel1DR', sel_trk + ':' + var1D, sel_now)
hR = h.ProfileX()
hR.SetStats(0)
hR.SetLineColor(4)
leg.AddEntry(hR, 'R', 'l')
hR.DrawCopy('SAME')
leg.Draw('SAME')
can.Update()
can.SaveAs(out_dir + '/PositionXY_sel_Bar{:02d}'.format(N_bar)+figform)
if 'PosWeight' in configurations.plots:
h = rt.TH2D('h_amp_aux'+str(k), title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
chain.Project('h_amp_aux'+str(k), var, ' && '.join(BarInfo.sel))
''' -------------Avg amp-----------'''
name = 'h_amp_weight_pos_'+str(N_bar)
title = 'Average peak amplitude (L+R) bar {} in selected event'.format(N_bar)
h2D_sum = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h2D_sum.SetXTitle('x [mm]')
h2D_sum.SetYTitle('y [mm]')
h2D_sum.SetZTitle('Average Amplitude [mV]')
weights = '('+ ' && '.join(BarInfo.sel) +') * (amp[{}] + amp[{}])'.format(confL['amp_ch'], confR['amp_ch'])
chain.Project(name, var, weights)
h2D_sum.Divide(h)
h2D_sum.GetZaxis().SetRangeUser(h2D_sum.GetMinimum(10), h2D_sum.GetMaximum())
h2D_sum.SetStats(0)
name = 'h_ampL_weight_pos_'+str(N_bar)
title = 'Average peak amplitude (L only - ch {}) in selected event'.format(confL['amp_ch'])
h2D_L = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h2D_L.SetXTitle('x [mm]')
h2D_L.SetYTitle('y [mm]')
h2D_L.SetZTitle('Average Amplitude [mV]')
weights = '('+ ' && '.join(BarInfo.sel) +') * amp[{}]'.format(confL['amp_ch'])
chain.Project(name, var, weights)
h2D_L.Divide(h)
h2D_L.GetZaxis().SetRangeUser(h2D_L.GetMinimum(10), h2D_L.GetMaximum())
h2D_L.SetStats(0)
name = 'h_ampR_weight_pos_'+str(N_bar)
title = 'Average peak amplitude (R only - ch {}) in selected event'.format(confR['amp_ch'])
h2D_R = rt.TH2D(name, title, N_bins[0], -width_x+dx, width_x+dx, N_bins[1], -width_y+dy, width_y+dy)
h2D_R.SetXTitle('x [mm]')
h2D_R.SetYTitle('y [mm]')
h2D_R.SetZTitle('Average Amplitude [mV]')
weights = '('+ ' && '.join(BarInfo.sel) +') * amp[{}]'.format(confR['amp_ch'])
chain.Project(name, var, weights)
h2D_R.Divide(h)
h2D_R.GetZaxis().SetRangeUser(h2D_R.GetMinimum(10), h2D_R.GetMaximum())
h2D_R.SetStats(0)
sel_1D = ' && '.join(BarInfo.sel)
if hasattr(BarInfo, 'cut_y'):
sel_1D += ' && ' + BarInfo.cut_y
h1D_sum = rt.TProfile('h_sum', 'Average peak amplitude in selected events', N_bins[0], -width_x+dx, width_x+dx)
h1D_sum.SetXTitle('x [mm]')
h1D_sum.SetYTitle('Amplitude [mV]')
var1D = var[var.find(':')+1:]
chain.Project('h_sum', 'amp[{}] + amp[{}]'.format(confL['amp_ch'], confR['amp_ch']) + ':' + var1D, sel_1D, 'prof')
h1D_sum.SetStats(0)
h1D_L = rt.TProfile('h_L', 'Average peak amplitude in selected events', N_bins[0], -width_x+dx, width_x+dx)
chain.Project('h_L', 'amp[{}]'.format(confL['amp_ch']) + ':' + var1D, sel_1D, 'prof')
h1D_L.SetStats(0)
h1D_R = rt.TProfile('h_R', 'Average peak amplitude in selected events', N_bins[0], -width_x+dx, width_x+dx)
chain.Project('h_R', 'amp[{}]'.format(confR['amp_ch']) + ':' + var1D, sel_1D, 'prof')
h1D_R.SetStats(0)
can = rt.TCanvas('c_w_pos_'+str(k), 'c_w_pos_'+str(k), 800, 500)
can.Divide(2,1)
padL = can.cd(1)
padL.Divide(1,3)
pad = padL.cd(1)
pad.SetRightMargin(0.15)
h2D_sum.DrawCopy('colz')
if hasattr(BarInfo, 'space_limits'):
x_start, x_stop, y_start, y_stop = BarInfo.space_limits
line.SetLineStyle(9)
line.SetLineColor(6)
line.SetLineWidth(2)