def get_samples(path, channel, systematic):
samples2 = None
if systematic in ["EnDown", "EnUp", "ResDown", "ResUp", "UnclusteredEnDown", "UnclusteredEnUp"]:
datadir = "/".join((path, channel, "mc", "iso", systematic, "Jul15"))
elif systematic != "nominal":
#datadir2 = "/".join((path, channel, "mc_syst", "iso", "SYST", "Jul15"))
#datadir = "/".join((path, channel, "mc", "iso", "nominal", "Jul15"))
datadir = "/".join(("/hdfs/local/stpol/step3/Sep4_syst_a554579", channel, "mc", "iso", "nominal", "Jul15"))
datadir2 = "/".join(("/home/andres/single_top/stpol/Sep4_syst_a554579/", channel, "mc_syst", "iso", "SYST", "Jul15"))
datadir3 = "/".join(("/home/andres/single_top/stpol/Sep4_syst_a554579/", channel, "mc_syst", "iso", "SYST", "Sep4"))
#print "dd2", datadir2
#print "dd3", datadir3
samples2 = Sample.fromDirectory(datadir2, out_type="dict")
#print "samp2", samples2
#datadir3 = "/".join(("/hdfs/local/stpol/step3/Sep1_wjets_fsim", channel, "mc_syst", "nominal", "wjets_fsim"))
samples2.update(Sample.fromDirectory(datadir3, out_type="dict"))
#print "samp3", samples2
else:
#datadir = "/".join((path, channel, "mc", "iso", systematic, "Jul15"))
datadir = "/".join(("/hdfs/local/stpol/step3/Sep4_syst_a554579", channel, "mc", "iso", systematic, "Jul15"))
datadir2 = "/".join(("/home/andres/single_top/stpol/Sep4_syst_a554579/", channel, "mc_syst", "iso", "SYST", "Jul15"))
datadir3 = "/".join(("/home/andres/single_top/stpol/Sep4_syst_a554579/", channel, "mc_syst", "iso", "SYST", "Sep4"))
#datadir2 = "/".join((path, channel, "mc_syst", "iso", "SYST", "Jul15"))
samples2 = Sample.fromDirectory(datadir2, out_type="dict")
samples2.update(Sample.fromDirectory(datadir3, out_type="dict"))
samples = Sample.fromDirectory(datadir, out_type="dict")
datadir_data = "/".join((path, channel, "data", "iso", "Jul15"))
datadir_data_Aug1 = "/".join((path, channel, "data", "iso", "Aug1"))
samples.update(Sample.fromDirectory(datadir_data, out_type="dict"))
samples.update(Sample.fromDirectory(datadir_data_Aug1, out_type="dict"))
if samples2 is not None:
samples.update(samples2)
if channel == "mu":
samples["SingleMu1_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleMu1.root")))
samples["SingleMu2_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleMu2.root")))
samples["SingleMu3_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleMu3.root")))
samples["SingleMu_miss_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleMu_miss.root")))
elif channel == "ele":
samples["SingleEle1_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleEle1.root")))
samples["SingleEle2_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleEle2.root")))
samples["SingleEle_miss_aiso"] = Sample.fromFile("/".join((path, channel, "data", "antiiso", "Jul15", "SingleEle_miss.root")))
return samples
if __name__=="__main__":
#import plots.common.tdrstyle as tdrstyle
#tdrstyle.tdrstyle()
datadirs = dict()
#This symlink is present in the repo for *.hep.kbfi.ee, if running on other machines, you must make it yourself by doing
#ln -s /path/to/step3/out $STPOL_DIR/step3_latest
#isolated files are by default in $STPOL_DIR/step3_latest/mu/iso/nominal/*.root
datadirs["iso"] = "/".join((os.environ["STPOL_DIR"], "step3_latest", "mu" ,"iso", "nominal"))
#Use the anti-isolated data for QCD $STPOL_DIR/step3_latest/mu/antiiso/nominal/SingleMu.root
datadirs["antiiso"] = "/".join((os.environ["STPOL_DIR"], "step3_latest", "mu" ,"antiiso", "nominal"))
#Load all the samples in the isolated directory
samples = Sample.fromDirectory(datadirs["iso"], out_type="dict")
samples["SingleMu_aiso"] = Sample.fromFile(datadirs["antiiso"] + "/SingleMu.root")
hists_mc = dict()
hist_data = None
#Define the variable, cut, weight and lumi
var = "cos_theta"
cut_name = "2j1t"
cut_str = str(Cuts.n_jets(2)*Cuts.n_tags(1)*Cuts.lepton_veto*Cuts.one_muon*Cuts.mt_mu*Cuts.top_mass_sig*Cuts.eta_lj)
weight_str = "1.0"
lumi = 20000 #FIXME: take from the step2 output filelists/step2/latest/iso/nominal/luminosity.txt
#nbins, min, max
plot_range= [20, -1, 1]
def load_nominal_mc_samples(path, channel, iso):
datadir = "/".join((path, channel, "mc", iso, "nominal", "Jul15"))
samples = Sample.fromDirectory(datadir, out_type="dict")
return samples
