76 livetime, zlumi, zerr, olumi, timestamp, dfz_small = pt.get_dfz(args.indir, year, run, channel)
79 if livetime < pt.runlivetimecut:
80 if livetime >= 0.:
print(f
"Skip Run {run} because of live time {livetime/60:.1f} min")
84 if (year ==
"16" and dfz_small[
'LBStart'].iloc[0] < 1463184000)
or run ==
"310247":
87 dflist.append(dfz_small)
89 df = pd.concat(dflist)
90 df[
'OffMu'] = df[
'OffMu'].
round(0)
91 df = df.groupby(pd.cut(df.OffMu, bins, right=
False)).
sum()
92 df.reset_index(drop=
True, inplace=
True)
94 df[
'ZeeLumiErr'] = np.sqrt(df[
'ZeeLumiErr'])
95 df[
'ZmumuLumiErr'] = np.sqrt(df[
'ZmumuLumiErr'])
96 df[
'Ratio'] = df[
'ZeeLumi'] / df[
'ZmumuLumi']
97 df[
'RatioErr'] = df[
'Ratio'] * np.sqrt(
pow(df[
'ZeeLumiErr'] / df[
'ZeeLumi'], 2) +
pow(df[
'ZmumuLumiErr'] / df[
'ZmumuLumi'], 2))
99 df[
'ZLumiErr'] = np.sqrt(df[
'ZLumiErr'])
100 df[
'Bin'] = pd.Series(bins)
102 norm = df[
'ZLumi'].
sum() / df[
'OffLumi'].
sum()
103 df[
'Ratio'] = df[
'ZLumi'] / df[
'OffLumi'] / norm
104 df[
'RatioErr'] = df[
'ZLumiErr'] / df[
'OffLumi'] / norm
106 h_total = R.TH1F(
"h_total",
"", len(bins)-1, bins)
108 nan_list = df[df[
'Ratio'].isnull()].index.tolist()
112 for xbin
in range(0, h_total.GetNbinsX()):
118 h_total.SetBinContent(xbin+1, df[
'Ratio'][xbin])
119 h_total.SetBinError(xbin+1, df[
'RatioErr'][xbin])
120 arr_ratio.append(df[
'Ratio'][xbin])
123 print(
"Cannot do ratio for", xbin)
125 arr_ratio = np.array(arr_ratio)
127 median = np.median(arr_ratio)
128 stdev = np.percentile(abs(arr_ratio - median), 68)
131 h_total.GetXaxis().SetTitle(
"<#mu>")
134 line = R.TLine(h_total.GetXaxis().GetXmin(), median, h_total.GetXaxis().GetXmax(), median)
135 line.SetLineColor(R.kRed)
139 h_total.GetYaxis().SetRangeUser(ymin, ymax)
140 leg = R.TLegend(0.54, 0.72, 0.805, 0.92)
142 leg.AddEntry(h_total,
"L_{Z #rightarrow ee}/L_{Z #rightarrow #mu#mu}",
"ep")
143 leg.AddEntry(line, f
"Median = {median:.3f} #pm {stdev:.3f}",
"l")
145 h_total.GetYaxis().SetRangeUser(0.95, 1.05)
146 leg = R.TLegend(0.20, 0.18, 0.45, 0.35)
148 print(f
"Year = {year} channel = {channel}: median +- 68% percentile = {median:.3f} +- {stdev:.3f}")
150 line1 = pt.make_bands(bins, stdev, median)
153 h_total.Draw(
'same E0')
156 leg.SetTextSize(0.05)
158 h_total.GetYaxis().SetTitle(
"L_{Z #rightarrow ee} / L_{Z #rightarrow #mu#mu}")
161 h_total.GetYaxis().SetTitle(
"L_{"+pt.plotlabel[channel]+
"} / L_{ATLAS}")
162 leg.AddEntry(h_total,
"L_{"+pt.plotlabel[channel]+
"}^{year-normalised}/L_{ATLAS}",
"ep")
163 zstring = pt.plotlabel[channel]+
" counting"
166 pt.drawAtlasLabel(0.2, 0.88,
"Internal")
167 pt.drawText(0.2, 0.83, date_string, size=22)
168 pt.drawText(0.2, 0.78, zstring, size=22)
170 pt.drawAtlasLabel(xmin, 0.88,
"Internal")
171 pt.drawText(xmin, 0.83, date_string, size=22)
172 pt.drawText(xmin, 0.78, zstring, size=22)
173 pt.drawText(xmin, 0.71,
"OflLumi-Run3-005", size=22)
175 leg.AddEntry(line1,
"68% band",
"f")
179 c1.SaveAs(outdir + outfile)
181 c1.SaveAs(outdir + channel +
"ATLAS_ratio_vs_mu_"+out_tag+
".pdf")