\hline"""
print "Cut & ",
for s in samples:
print groups[s]['mplabel']+' & ',
print 'Total & Data & Signal \\\\'
print '\\hline'
for il in [0,1]:
nl=il+3
cut="(mp>"+str(mmin)+") & (mp<"+str(mmax)+")"
if il:
cut+=" & (mn>"+str(mmin)+") & (mn<"+str(mmax)+")"
if mod in extras.keys():
cut+=" & "+extras[mod][il]
for c in range(len(cuts[cMod][il])):
cut+=" & "+cuts[cMod][il][c].substitute(mass=m)
filt=filterByCutHDF(flist+['ap-'+str(m),'pp-'+str(m)],cut,["mp"],getModel(mod))
yld=getYieldHDF(filt,samples,getModel(mod),addErr=False)
print str(nl)+'l-'+str(c+1),'&',
for s in samples:
print "$"+str(round(yld[s],2))+"\pm"+str(round(yld[s+'-err'],2))+'$ &',
print "$"+str(round(yld['bg'],2))+'\pm'+str(round(yld['bg-err'],2))+'$ & $'+str(yld['data'])+'\pm'+str(round(yld['data-err'],2))+'$ & $'+str(round(yld['signal'],2))+'\pm'+str(round(yld['signal-err'],2))+'$ \\\\'
print '\\hline'
print """
\end{tabular}
}
\end{center}
\end{table*}
"""
cutCR="(ntau=="+str(nt)+") & ((mp<"+str(mmin)+") | (mp>"+str(mmax)+"))"
cutSR="(ntau=="+str(nt)+") & (mp>"+str(mmin)+") & (mp<"+str(mmax)+")"
if il:
cutCR+=" & ((mn<"+str(mmin)+") | (mn>"+str(mmax)+"))"
cutSR+=" & (mn>"+str(mmin)+") & (mn<"+str(mmax)+")"
if mod in extras.keys():
cutCR+=" & "+extras[mod][il]
cutSR+=" & "+extras[mod][il]
cutCR+=" & "+cuts[cMod][il][0].substitute(mass=mass)
for c in range(mx):
cutSR+=" & "+cuts[cMod][il][c].substitute(mass=mass)
print "Debug:",il,nt,cutCR,cutSR
crdata=filterByCutHDF(flist2,cutCR,["mp"],getModel(mod))
srdata=filterByCutHDF(flist2,cutSR,["mp"],getModel(mod))
yldCR=getYieldHDF(crdata,samples,getModel(mod),addErr=True)
yldSR=getYieldHDF(srdata,samples,getModel(mod),addErr=True)
nDataCR[il][nt]=yldCR['data']
nDataSR[il][nt]=yldSR['data']
nBGCR[il][nt]=yldCR['bg']
nBGSR[il][nt]=yldSR['bg']
#for s in samples:
# nBGCR[il][nt]+=yldCR[s]
# nBGSR[il][nt]+=yldSR[s]
nSigPP[il][nt]+=yldSR['pp-'+str(mass)]
nSigAP[il][nt]+=yldSR['ap-'+str(mass)]
xr = xr3
ll = 1
lloc = 1
if c: lloc = 3
sc = 'linear'
vlistFilt = ["mp"]
if nl == 4:
vlist = var4
vlistFilt = var4
x = xl4
y = yl4
nb = nb4
xr = xr4
ll = [1, 1]
lloc = [1, 1]
if c: lloc = [3, 3]
sc = ['linear', 'linear']
print il, c, cut
filt = filterByCutHDF(flist + ['ap-' + str(m), 'pp-' + str(m)],
cut, vlistFilt, getModel(mod))
fname = mod + '-m' + str(m) + '-' + str(nl) + 'l-cut' + str(c)
plotHDF(filt, samples, 'appp', m, getModel(mod), vlist, x, y, nb,
xr, fname + '.pdf', lloc)
savefig(fname + '.png')
draw()
fname = mod + '-m' + str(m) + '-' + str(nl) + 'l-cut' + str(
c) + '-lin'
plotHDF(filt, samples, 'appp', m, getModel(mod), vlist, x, y, nb,
xr, fname + '.pdf', ll, sc)
savefig(fname + '.png')
vlist=var3
x=xl3
y=yl
nb=nb3
xr=xr3
ll=1
lloc=1
if c: lloc=3
sc='linear'
vlistFilt=["mp"]
if nl==4:
vlist=var4
vlistFilt=var4
x=xl4
y=yl4
nb=nb4
xr=xr4
ll=[1,1]
lloc=[1,1]
if c: lloc=[3,3]
sc=['linear','linear']
print il,c,cut
filt=filterByCutHDF(flist+['ap-'+str(m),'pp-'+str(m)],cut,vlistFilt,getModel(mod))
fname=mod+'-m'+str(m)+'-'+str(nl)+'l-cut'+str(c)
plotHDF(filt,samples,'appp',m,getModel(mod),vlist,x,y,nb,xr,fname+'.pdf',lloc)
savefig(fname+'.png')
draw()
fname=mod+'-m'+str(m)+'-'+str(nl)+'l-cut'+str(c)+'-lin'
plotHDF(filt,samples,'appp',m,getModel(mod),vlist,x,y,nb,xr,fname+'.pdf',ll,sc)
savefig(fname+'.png')
start=datetime.datetime.now()
from input import *
flist=[]
#samples=samplespowheg
#samples.remove('stop')
for s in samples:
for f in groups[s]['sets']:
flist.append(f)
flist.append("data")
flist.append("ap-350")
flist.append("pp-350")
from extLibFull import filterByCutHDF,plotHDF,getModel
model=getModel('BP4')
from pylab import *
print "Starting processing...",
fnam="BP4-4l"
#fnam="BP4-3l"
varList=['mp']
nbin=[25]
xl=[r'$m(\ell^\pm\ell^\pm)$ [GeV]']
yl=[r'Events / 20 GeV']
xr=[[10,510]]
#xl=[r'$E^{miss}_{T}$ [GeV]']
#yl=[r'N events / 5 GeV']
#xr=[[0,100]]
ll=[1]
