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isolation.py
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from iminuit import cost, Minuit
import matplotlib.pyplot as plt
import numpy as np
import awkward as ak
# quick plot with list, np array or flattened awkward array
def myhist(X, bins=30, title='title', xlabel='time (ns)', ylabel='Counts / bin', color='dodgerblue', range=None, label="data"):
#plt.figure(dpi=100)
if range==None:
plt.hist(np.array(X), bins=bins, color=color, label=label)
else:
plt.hist(np.array(X), bins=bins, color=color, range=range, label=label)
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(ylabel)
plt.grid()
#Define the Gaussian function
def model(x, A, x0, sigma):
return A * np.exp(-(x - x0) ** 2 / (2 * sigma ** 2))
# returns res that contains the parameters, the chi squared and
# the counts and bins used to plot the data
def gauss_fit(data, init_parms, bins=300):
hist, nbins = np.histogram(data, bins=bins)
nbins = 0.5 * (bins[1:] + bins[:-1])
errors = [np.sqrt(oh+1) for oh in hist]
init_parameters = init_parms
cost_func = cost.LeastSquares(nbins[:-1], hist, errors, model)
min_obj = Minuit(cost_func, *init_parameters)
res = min_obj.migrad()
chi2 = min_obj.fval/(len(nbins[:-1])-3)
return res, chi2, hist, nbins[:-1]
#same as above but plots also the data
def gauss_fit_and_plot(data, init_parms, label="data", colors=["midnightblue","dodgerblue"], bins=300):
res, chi2, hists, newbins = gauss_fit(data, init_parms, bins=bins)
y = model(newbins, *res.values)
plt.plot(newbins, y, label=f'gauss fit\n $\sigma$ = {res.values[2]:.3f} $\pm$ {res.errors[2]:.3f}\n $x_0$ = {res.values[1]:.3f} $\pm$ {res.errors[1]:.3f} \n $\chi^2_0$ = {chi2:.3f}', color=colors[0], linewidth=2)
plt.hist(np.array(data), bins=bins, color=colors[1], alpha=0.7)
plt.legend(fontsize=16)
plt.grid()
return res, chi2
# compute the efficiency of time assignment to tracks
# choose is signal/bkg and barrel/endcap
def track_efficiency(ele_prompt, ele_track, ele_sim_pt, ele_dz, ele_dxy, ele_barrel, ele_time, ele_timeErr, track_sim_pt, track_dz_ele, track_time, track_timeErr, SIGNAL=True, BARREL=True, ELE_DZ=0.2):
time_ele_eff = []
all_ele_eff = []
time_track_eff = []
all_track_eff = []
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
if (ele_track[ev][ele_idx]==-1 or ele_sim_pt[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
# check barrel / endcap
if BARREL:
if not ele_barrel[ev][ele_idx]:
continue
else:
if ele_barrel[ev][ele_idx]:
continue
all_ele_eff.append(pt)
eleTime = ele_time[ev][ele_idx]
eleErr = ele_timeErr[ev][ele_idx]
# add pT of electrons tracks with time reconstructed by mtd
if eleErr != -1:
time_ele_eff.append(pt)
# loop over tracks in the cone
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
trackPT = track_sim_pt[ev][ele_idx][trk_idx]
if trackPT == -1:
continue
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
all_track_eff.append(trackPT)
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
# add pT of tracks with time reconstructed by mtd
if trErr != -1:
time_track_eff.append(trackPT)
return time_ele_eff, all_ele_eff, time_track_eff, all_track_eff
def track_eff_plot(bins, all_pt, track_pt, title="electrons tracks with time", color="dodgerblue", pos=111):
pt_tot, bins = np.histogram(all_pt, bins=bins)
pt_MTD, _ = np.histogram(track_pt, bins=bins)
MTD = pt_MTD / pt_tot
err_MTD = np.sqrt( pt_MTD / (pt_tot*pt_tot) + pt_MTD**2 / (pt_tot**3) )
plt.subplot(pos)
plt.errorbar(bins[:-1], MTD, err_MTD, c=color, fmt = "o", markersize=5, mfc=color, mec=color, ecolor=color, capsize=5, linestyle='')
plt.title(title)
plt.xlabel("pT sim (GeV)")
plt.ylabel("efficiency")
# creates ratio for efficiency plots
def list2hist(hist,den,bins,SCALE=1):
num, _ = np.histogram(hist, bins=bins)
ratio = num / den
err = SCALE * np.sqrt( (num+1) / (den**2) + (num+1)**2 / (den**3) )
return ratio, err
# computes isolation efficiency using electron time
def isoefficiency(ele_prompt, ele_track, ele_sim_pt, ele_PT, ele_dz, ele_dxy, track_sim_pt, track_pt,
track_dz_ele, track_sim_time, ele_sim_time,
track_time, track_timeErr, ele_time, ele_timeErr, track_mva, ele_mva, track_gen_matched,
NSIGMA=3, ELE_DZ=0.2, ISO_CUT=0.03, SIGNAL=True):
ele_pt = []
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
if (ele_sim_pt[ev][ele_idx]==-1):
continue
# check on valid trackref
if (ele_track[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
pt_reco = ele_PT[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
ele_pt.append(pt)
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
if (track_sim_pt[ev][ele_idx][trk_idx]==-1):
continue
# cut in dz with ele, tunable
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
eleTime = ele_time[ev][ele_idx]
eleErr = ele_timeErr[ev][ele_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
if (ele_mva[ev][ele_idx] < MVA_CUT):
eleErr = -1
# RECO
if (trErr > 0 and eleErr > 0):
# add track and pt for time
if (abs(trTime-eleTime) < (NSIGMA*(trErr**2+eleErr**2)**0.5)):
sum_mtd += track_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# compute relative iso and check cut
if (sum_sim_mtd / pt < ISO_CUT):
ele_sim_pt_MTD.append(pt)
if (sum_noMtd / pt_reco < ISO_CUT):
ele_pt_noMTD.append(pt)
if (sum_mtd / pt_reco < ISO_CUT):
ele_pt_MTD.append(pt)
if (sum_gen_mtd / pt < ISO_CUT):
ele_gen_pt_MTD.append(pt)
return ele_pt, ele_pt_noMTD, ele_pt_MTD, ele_sim_pt_MTD, ele_gen_pt_MTD
def iso_eff_plot(bins, ele_pt, ele_pt_noMTD, ele_pt_MTD, ele_sim_pt_MTD, ele_gen_pt_MTD, title="iso efficiency on electrons", pos=111, ax=None):
pt_tot, bins = np.histogram(ele_pt, bins=bins)
MTD_sim, err_sim_MTD = list2hist(ele_sim_pt_MTD, pt_tot, bins)
MTD_gen, err_gen_MTD = list2hist(ele_gen_pt_MTD, pt_tot, bins)
MTD, err_MTD = list2hist(ele_pt_MTD, pt_tot, bins)
noMTD, err_noMTD = list2hist(ele_pt_noMTD, pt_tot, bins)
if ax == None:
ax = plt.subplot(pos)
else:
plt.subplot(pos, sharey=ax)
plt.errorbar(bins[:-1], MTD_sim, err_sim_MTD, c="forestgreen", label ="MTD - sim time", fmt = "o", markersize=5, mfc="forestgreen", mec="forestgreen", ecolor="forestgreen", capsize=5, linestyle='')
plt.errorbar(bins[:-1], MTD_gen, err_gen_MTD, c="grey", label ="gen info", fmt = "*", markersize=5, mfc="grey", mec="grey", ecolor="grey", capsize=5, linestyle='')
plt.errorbar(bins[:-1], MTD, err_MTD, c="dodgerblue", label ="MTD - reco time", fmt = "s", markersize=5, mfc="dodgerblue", mec="dodgerblue", ecolor="dodgerblue", capsize=5, linestyle='')
plt.errorbar(bins[:-1], noMTD, err_noMTD, c="red", label ="no MTD", fmt = "^", markersize=5, mfc="red", mec="red", ecolor="red", capsize=5, linestyle='')
plt.title(title)
plt.xlabel("pT sim (GeV)")
plt.ylabel("efficiency")
plt.legend(loc="upper left")
return ax
# compute isolation to do ROC curves
def isolation(ele_prompt, ele_track, ele_sim_pt, ele_PT, ele_dz, ele_dxy, track_sim_pt, track_pt,
track_dz_ele, track_sim_time, ele_sim_time,
track_time, track_timeErr, ele_time, ele_timeErr, track_mva, ele_mva, track_gen_matched,
NSIGMA=3,ELE_DZ=0.2,SIGNAL=True):
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
if (ele_sim_pt[ev][ele_idx]==-1):
continue
# check on valid trackref
if (ele_track[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
pt_reco = ele_PT[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
if (track_sim_pt[ev][ele_idx][trk_idx]==-1):
continue
# cut in dz with ele, tunable
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
eleTime = ele_time[ev][ele_idx]
eleErr = ele_timeErr[ev][ele_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
if (ele_mva[ev][ele_idx] < MVA_CUT):
eleErr = -1
# RECO
if (trErr > 0 and eleErr > 0):
# add track and pt for time
if (abs(trTime-eleTime) < (NSIGMA*(trErr**2+eleErr**2)**0.5)):
sum_mtd += track_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# compute relative iso
ele_sim_pt_MTD.append(sum_sim_mtd / pt)
ele_pt_noMTD.append(sum_noMtd / pt_reco)
ele_pt_MTD.append(sum_mtd / pt_reco)
ele_gen_pt_MTD.append(sum_gen_mtd / pt)
return np.array(ele_pt_noMTD), np.array(ele_pt_MTD), np.array(ele_sim_pt_MTD), np.array(ele_gen_pt_MTD)
# compute isolation efficiency using the vertex time
def isovertexefficiency(ele_prompt, ele_track, ele_sim_pt, ele_PT, ele_dz, ele_dxy, track_sim_pt, track_pt, track_dz_ele,
track_sim_time, ele_sim_time,
track_time, track_timeErr, vertex_time, vertex_timeErr, track_mva, ele_mva, track_gen_matched,
NSIGMA=3, ELE_DZ=0.2, ISO_CUT=0.03, SIGNAL=True):
ele_pt = []
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
vertexTime = vertex_time[ev]
vertexTimeErr = vertex_timeErr[ev]
for ele_idx in range(len(ele_prompt[ev])):
if (ele_track[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
if pt==-1:
continue
reco_pt = ele_PT[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
ele_pt.append(pt)
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
if (track_sim_pt[ev][ele_idx][trk_idx] == -1):
continue
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# 2. add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
# RECO
if (trErr > 0 and vertexTimeErr > 0):
# 2. add track and pt for time
if (abs(trTime-vertexTime) < (NSIGMA*(trErr**2+vertexTimeErr**2)**0.5)):
sum_mtd += track_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_pt[ev][ele_idx][trk_idx]
# compute relative iso and check cut
if (sum_sim_mtd / pt < ISO_CUT):
ele_sim_pt_MTD.append(pt)
if (sum_noMtd / reco_pt < ISO_CUT):
ele_pt_noMTD.append(pt)
if (sum_mtd / reco_pt < ISO_CUT):
ele_pt_MTD.append(pt)
if (sum_gen_mtd / pt < ISO_CUT):
ele_gen_pt_MTD.append(pt)
return ele_pt, ele_pt_noMTD, ele_pt_MTD, ele_sim_pt_MTD, ele_gen_pt_MTD
# compute isolation for ROC curves using the vertex
def vertexisolation(ele_prompt, ele_track, ele_sim_pt, ele_dz, ele_dxy, track_sim_pt, track_dz_ele, track_sim_time, ele_sim_time,
track_time, track_timeErr, vertex_time, vertex_timeErr, track_mva, ele_mva, track_gen_matched,
NSIGMA=3,ELE_DZ=0.2,SIGNAL=True):
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
vertexTime = vertex_time[ev]
vertexTimeErr = vertex_timeErr[ev]
for ele_idx in range(len(ele_prompt[ev])):
# check sulla trackref (se -1 skip)
if (ele_track[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks - SIM
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
# cut in dz con ele, provare diversi valori
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_sim_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# 2. add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
# RECO
if (trErr > 0 and vertexTimeErr > 0):
# 2. add track and pt for time
if (abs(trTime-vertexTime) < (NSIGMA*(trErr**2+vertexTimeErr**2)**0.5)):
sum_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# compute relative iso
ele_sim_pt_MTD.append(sum_sim_mtd / pt)
ele_pt_noMTD.append(sum_noMtd / pt)
ele_pt_MTD.append(sum_mtd / pt)
ele_gen_pt_MTD.append(sum_gen_mtd / pt)
return np.array(ele_pt_noMTD), np.array(ele_pt_MTD), np.array(ele_sim_pt_MTD), np.array(ele_gen_pt_MTD)
def iso_for_plot(ele_iso_noMTD, ele_iso_MTD, ele_sim_iso_MTD, ele_gen_iso_MTD, miniso=0.02, maxiso=0.2):
iso_step = np.linspace(miniso, maxiso, 100)
iso_sig_noMTD = []
iso_sig_MTD = []
iso_sig_sim_MTD = []
iso_sig_gen_MTD = []
for iso in iso_step:
iso_sig_noMTD.append(ak.count(ele_iso_noMTD[ele_iso_noMTD<iso]) / ak.count(ele_iso_noMTD))
iso_sig_MTD.append(ak.count(ele_iso_MTD[ele_iso_MTD<iso]) / ak.count(ele_iso_MTD))
iso_sig_sim_MTD.append(ak.count(ele_sim_iso_MTD[ele_sim_iso_MTD<iso]) / ak.count(ele_sim_iso_MTD))
iso_sig_gen_MTD.append(ak.count(ele_gen_iso_MTD[ele_gen_iso_MTD<iso]) / ak.count(ele_gen_iso_MTD))
return iso_sig_noMTD, iso_sig_MTD, iso_sig_sim_MTD, iso_sig_gen_MTD
#distribution od dt between tracks and electron - sim vs reco
def dt_distribution(ele_prompt, ele_track, ele_dz, ele_dxy, ele_sim_time, ele_time, ele_timeErr, track_dz_ele, track_sim_time, track_time, track_timeErr, ELE_DZ=0.2, SIGNAL=True):
ele_dt_B = []
ele_reco_dt_B = []
ele_reco_dt_matched_B = []
nosim = 0
noreco = 0
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
# check sulla trackref (se -1 skip)
if (ele_track[ev][ele_idx]==-1):
continue
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
eleTime = ele_time[ev][ele_idx]
eleTimeErr = ele_timeErr[ev][ele_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
# loop over tracks
for trk_idx in range(len(track_dz_ele[ev][ele_idx])):
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
if (trSimTime != -1 and eleSimTime != -1):
ele_dt_B.append(abs(trSimTime-eleSimTime))
else:
ele_dt_B.append(-1)
nosim += 1
trTime = track_time[ev][ele_idx][trk_idx]
trTimeErr = track_timeErr[ev][ele_idx][trk_idx]
if (trTimeErr != -1 and eleTimeErr != -1):
ele_reco_dt_B.append(abs(trTime-eleTime))
else:
ele_reco_dt_B.append(-1)
noreco += 1
return np.array(ele_dt_B), np.array(ele_reco_dt_B), nosim, noreco
#distribution od dt between tracks and vertex - sim vs reco
def vertex_dt_distribution(ele_prompt, ele_track, ele_dz, ele_dxy, ele_sim_time, vertex_time, vertex_timeErr,
track_dz_ele, track_sim_time, track_time, track_timeErr, ELE_DZ=0.2, SIGNAL=True):
ele_dt_B = []
ele_reco_dt_B = []
ele_reco_dt_matched_B = []
nosim = 0
noreco = 0
for ev in range(len(ele_prompt)):
vtxTime = vertex_time[ev]
vtxTimeErr = vertex_timeErr[ev]
for ele_idx in range(len(ele_prompt[ev])):
# check sulla trackref (se -1 skip)
if (ele_track[ev][ele_idx]==-1):
continue
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
eleSimTime = ele_sim_time[ev][ele_idx]
# loop over tracks
for trk_idx in range(len(track_dz_ele[ev][ele_idx])):
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
if (trSimTime != -1 and eleSimTime != -1):
ele_dt_B.append(abs(trSimTime-eleSimTime))
else:
ele_dt_B.append(-1)
nosim += 1
trTime = track_time[ev][ele_idx][trk_idx]
trTimeErr = track_timeErr[ev][ele_idx][trk_idx]
if (trTimeErr != -1 and vtxTimeErr != -1):
ele_reco_dt_B.append(abs(trTime-vtxTime))
else:
ele_reco_dt_B.append(-1)
noreco += 1
return np.array(ele_dt_B), np.array(ele_reco_dt_B), nosim, noreco
# compute isolation to do ROC curves
def PVisolation(ele_prompt, ele_track, ele_sim_pt, ele_PT, ele_dz, ele_dxy, track_sim_pt, track_pt,
track_dz_ele, track_sim_time, ele_sim_time,
track_time, track_timeErr, ele_time, ele_timeErr, track_mva, ele_mva, track_gen_matched,
ele_from_PV, track_from_PV,
NSIGMA=3,ELE_DZ=0.2,SIGNAL=True):
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
if (ele_sim_pt[ev][ele_idx]==-1 or not ele_from_PV[ev][ele_idx]):
continue
# check on valid trackref
if (ele_track[ev][ele_idx]==-1):
continue
pt = ele_sim_pt[ev][ele_idx]
pt_reco = ele_PT[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
if (track_sim_pt[ev][ele_idx][trk_idx]==-1 or not track_from_PV[ev][ele_idx][trk_idx]):
continue
# cut in dz with ele, tunable
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
eleTime = ele_time[ev][ele_idx]
eleErr = ele_timeErr[ev][ele_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
if (ele_mva[ev][ele_idx] < MVA_CUT):
eleErr = -1
# RECO
if (trErr > 0 and eleErr > 0):
# add track and pt for time
if (abs(trTime-eleTime) < (NSIGMA*(trErr**2+eleErr**2)**0.5)):
sum_mtd += track_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# compute relative iso
ele_sim_pt_MTD.append(sum_sim_mtd / pt)
ele_pt_noMTD.append(sum_noMtd / pt_reco)
ele_pt_MTD.append(sum_mtd / pt_reco)
ele_gen_pt_MTD.append(sum_gen_mtd / pt)
return np.array(ele_pt_noMTD), np.array(ele_pt_MTD), np.array(ele_sim_pt_MTD), np.array(ele_gen_pt_MTD)
# computes isolation efficiency using electron time
def PVisoefficiency(ele_prompt, ele_track, ele_sim_pt, ele_PT, ele_dz, ele_dxy, track_sim_pt, track_pt,
track_dz_ele, track_sim_time, ele_sim_time,
track_time, track_timeErr, ele_time, ele_timeErr, track_mva, ele_mva, track_gen_matched,
ele_from_PV, tracks_from_PV,
NSIGMA=3, ELE_DZ=0.2, ISO_CUT=0.03, SIGNAL=True):
ele_pt = []
ele_pt_noMTD = []
ele_pt_MTD = []
ele_sim_pt_MTD = []
ele_gen_pt_MTD = []
MVA_CUT=0.5
ERR = (ak.mean(track_timeErr[track_timeErr!=-1])**2+ak.mean(track_timeErr[track_timeErr!=-1])**2)**0.5
for ev in range(len(ele_prompt)):
for ele_idx in range(len(ele_prompt[ev])):
if (ele_sim_pt[ev][ele_idx]==-1):
continue
# check on valid trackref
if (ele_track[ev][ele_idx]==-1 or not ele_from_PV[ev][ele_idx]):
continue
pt = ele_sim_pt[ev][ele_idx]
pt_reco = ele_PT[ev][ele_idx]
# cut on dxy, dz wrt to the PV
if (ele_dz[ev][ele_idx]>0.5 or ele_dxy[ev][ele_idx]>0.2):
continue
# if prompt -> signal, if not -> bkg
if SIGNAL:
if not ele_prompt[ev][ele_idx]:
continue
else:
if ele_prompt[ev][ele_idx]:
continue
ele_pt.append(pt)
sum_sim_mtd = 0
sum_noMtd = 0
sum_mtd = 0
sum_gen_mtd = 0
# loop over tracks
for trk_idx in range(len(track_sim_pt[ev][ele_idx])):
if (track_sim_pt[ev][ele_idx][trk_idx]==-1 or not tracks_from_PV[ev][ele_idx][trk_idx]):
continue
# cut in dz with ele, tunable
if (track_dz_ele[ev][ele_idx][trk_idx] > ELE_DZ):
continue
# no MTD
sum_noMtd += track_pt[ev][ele_idx][trk_idx]
trSimTime = track_sim_time[ev][ele_idx][trk_idx]
eleSimTime = ele_sim_time[ev][ele_idx]
trTime = track_time[ev][ele_idx][trk_idx]
trErr = track_timeErr[ev][ele_idx][trk_idx]
eleTime = ele_time[ev][ele_idx]
eleErr = ele_timeErr[ev][ele_idx]
# SIM
if (trSimTime != -1 and eleSimTime != -1):
# add track and pt for time
if abs(trSimTime-eleSimTime) < (NSIGMA*ERR):
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
else:
# no time, add anyway
sum_sim_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# mva cut
if (track_mva[ev][ele_idx][trk_idx] < MVA_CUT):
trErr = -1
if (ele_mva[ev][ele_idx] < MVA_CUT):
eleErr = -1
# RECO
if (trErr > 0 and eleErr > 0):
# add track and pt for time
if (abs(trTime-eleTime) < (NSIGMA*(trErr**2+eleErr**2)**0.5)):
sum_mtd += track_pt[ev][ele_idx][trk_idx]
else:
sum_mtd += track_pt[ev][ele_idx][trk_idx]
# GEN
if track_gen_matched[ev][ele_idx][trk_idx]:
sum_gen_mtd += track_sim_pt[ev][ele_idx][trk_idx]
# compute relative iso and check cut
if (sum_sim_mtd / pt < ISO_CUT):
ele_sim_pt_MTD.append(pt)
if (sum_noMtd / pt_reco < ISO_CUT):
ele_pt_noMTD.append(pt)
if (sum_mtd / pt_reco < ISO_CUT):
ele_pt_MTD.append(pt)
if (sum_gen_mtd / pt < ISO_CUT):
ele_gen_pt_MTD.append(pt)
return ele_pt, ele_pt_noMTD, ele_pt_MTD, ele_sim_pt_MTD, ele_gen_pt_MTD