\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*} """
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')
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=[[10,510]] #xl=[r'$E^{miss}_{T}$ [GeV]'] #yl=[r'N events / 5 GeV'] #xr=[[0,100]] ll=[1] #cut1='~lowMassRes & (nlep>3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' cut1='~lowMassRes & (nlep>3) & (ntau<3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' # 4-lep #cut1='~lowMassRes & (nlep==3) & (ntau<2) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' # 3-lep #cut1='(nlep==3) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20)' #cut1='(nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20) & ~lowMassRes & (tWorstId>1)' #cut2='(nlep==3) & (ntau==1) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20) & ~lowMassRes & (tWorstId>1)' #cut1='recoPass & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes' #cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes' #cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes' #cut2='recoPass & (nlep==3) & (ntau==1) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes' #cut1='(nlep==3) & (ntau<2) & (isoworst<0.35) & (sipworst<4) & ~lowMassRes & recoPass & (tWorstId>1) & (sumpt>0.85*250+125) & (dz>80) & (phi1<0.005*250+1.15) & (met>20)' #cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4)' #cut1='recoPass & ~lowMassRes & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1) & (dz<30) & (sumpt>150)' #cut1='recoPass & ~lowMassRes & (nlep>2) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' #cut1='recoPass & ~lowMassRes & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (dz<80) & (sumpt>0.85*275+125) & (phi1<0.005*275+1.15) & (met>20)' filt1=filterByCutHDF(flist,cut1,varList,model) #filt2=filterByCutHDF(flist,cut2,varList,model) #fnam="BP4-4l" plotHDF(filt1,samples,"appp",350,getModel("BP4"),varList,xl,yl,nbin,xr,fnam+'.pdf',ll,showRatio=False) savefig(fnam+'.png') draw() #fnam="BP4-3l-1tau-medTau" #plotHDF(filt2,samples,"appp",275,getModel("BP4"),varList,xl,yl,nbin,xr,fnam+'.png') #draw()