def getit(fn):
f = ROOT.TFile(fn)
t = f.Get('mfvMiniTree/t')
hr = draw_hist_register(t, True)
h,n = hr.draw('weight', 'nvtx>=2', binning='1,0,1', get_n=True, goff=True)
i = get_integral(h)[0]
d = Samples.norm_from_file(f)
e,l,u = clopper_pearson(i, d)
ee = (u-l)/2
return e,ee,i,d
def getit(fn):
f = ROOT.TFile(fn)
t = f.Get('mfvMiniTree/t')
hr = draw_hist_register(t, True)
h, n = hr.draw('weight',
'nvtx>=2' +
('&& genmatch0 && genmatch1' if req_genmatch else ''),
binning='1,0,1',
get_n=True,
goff=True)
#i = get_integral(h)[0]
#c = i/n
d = Samples.norm_from_file(f)
e, l, u = clopper_pearson(n, d)
ee = (u - l) / 2
return e, ee, n, d
size=(600, 600),
pdf=True,
log=False)
multijet = Samples.mfv_signal_samples_2017
dijet = Samples.mfv_stopdbardbar_samples_2017
for sample in multijet + dijet:
fn = os.path.join('/uscms_data/d2/tucker/crab_dirs/MiniTree%s' % version,
sample.name + '.root')
if not os.path.exists(fn):
print 'no', sample.name
continue
f = ROOT.TFile(fn)
t = f.Get('mfvMiniTree/t')
hr = draw_hist_register(t, True)
cut = 'nvtx>=2' # && svdist > 0.04'
h = hr.draw('weight', cut, binning='1,0,1', goff=True)
num, _ = get_integral(h)
den = Samples.norm_from_file(f)
sample.y, sample.yl, sample.yh = clopper_pearson(
num, den) # ignore integral != entries, just get central value right
print '%26s: efficiency = %.3f (%.3f, %.3f)' % (sample.name, sample.y,
sample.yl, sample.yh)
per = PerSignal('efficiency', y_range=(0., 1.05))
per.add(multijet, title='#tilde{N} #rightarrow tbs')
per.add(dijet, title='#tilde{t} #rightarrow #bar{d}#bar{d}', color=ROOT.kBlue)
per.draw(canvas=ps.c)
ps.save('sigeff')
