On Lxplus
Input: a eos path like /store/group/phys_exotica/BH_RunII/BlackMax_NTuple/
Change the $DIR in the shell script, prepare a directory called "SignalFlatTuple/ModelClass"
Usage:
cmsenv
mkdir SignalFlatTuple
cd SignalFlatTuple
mkdir ModelClass
cd ../
sh GenSignalFlatTuple.sh
On brux6, please modify and use
python GenSignalFlatTuple.py
####i) Ingredients:
- Theoretic cross sections: e.g.
QBH_xsection.txtorBlackMax_xsection.txt
For all cross sections, refer to twiki:
https://twiki.cern.ch/twiki/bin/viewauth/CMS/BlackHoleAnalysis2015 - Data FlatTuple :
all2015C+D_NoMetCut+NewMETFilter.root - MILimit :
MILimit.txt
####ii) Prepare the input list with:
ls SignalFlatTuple/ModelClass/*.root > MasspointList.txt
The * is important. This will generate a txt file with format path/root
####iii)** Modify the Input constants section in ZbiCalculator.py before running**
eospath is neccessary only if the Ntuple file is in eos. Only the path listed in the code are necessary.
The FlatTuples of BH_fullsim and Charybdis already contains Ngen info.
####iv) Running the code
ZbiCalculator_v5 = optimizing with observed MI limit.
ZbiCalculator_v4 = optimizing with Zbi.
cmsenv
eosmount eos
python ZbiCalculator_v5.py MasspointList.txt StOpt_Model.txt
StOpt_Model.txt and StOpt_Model.root will be the output files.
StOpt_Model.txt will contain the optimal points for each sample and the limits data for plotting.
StOpt_Model.root will contain validation plots for searching optimal points.
##3) Making the plots ####i) Sort the output
python sort.py StOpt_Model.txt
This is important for interpolating the correct minMBH.
####ii) Make the root file with plots
mkdir ./plots
python MakeMDroot.py StOpt_Model.txt -b
Output: ./plots/StOpt_Model_plots.root
####iii) Make the final limit plot There is one seperate plotting script for each final plot.
python drawSB.py -b
####iv) Make sanity check plots
cd plots
python makepdf.py StOpt_Model_plots.root -b