++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/prepareRawData.C run as

root -b -q prepareRawData.C

This one takes the raw data from Napoli and merges the different MC productions into single ntuples. The output is saved in /nfs/kloe/einstein2/enricojr/data/2019-11-04/merged/

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/convertFromRootToPanda.sh run as

source convertFromRootToPanda.sh

It takes the merged raw data, selects merged/resolved ggf/vbf events and creates pandas dataframes, after splitting the data into test and training samples

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/createTrainAndTestSamples.sh run as

source createTrainAndTestSamples.sh

It takes the pickle files for the 1TeV Higgs signal and background, and creates the mixed and shuffled set split in test and train samples

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ To prepare for the next steps, one must edit the MyDNNKit/Configuration.py file by enabling the useful variables. Set the variables list in InputDNNVariables The run

python RunML.py -d

to look at all the permutations. Take the number of permutations and loop over the -y parameter in the shell scripts (see below).

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/trainMerged.sh run as

source trainMerged.sh

It builds the DNN and trains the merged data, given the list of variables hardcoded in the MyDNNKit/Configuration.py. The same script exists for variables set with 1 extra variable (no suffix) and 2 extra variables (_2variables suffix).

WARNING!!! Before running, edit MyDNNKit/Configuration.py to enable the corresponding variables

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/trainResolved.sh run as

source trainResolved.sh

It builds the DNN and trains the resolved data, given the list of variables hardcoded in the MyDNNKit/Configuration.py. The same script exists for variables set with 1 extra variable (no suffix) and 2 extra variables (_2variables suffix).

WARNING!!! Before running, edit MyDNNKit/Configuration.py to enable the corresponding variables

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/testMerged.sh run as

source testMerged.sh

It builds the DNN and tests the merged data, given the list of variables hardcoded in the MyDNNKit/Configuration.py. The same script exists for variables set with 1 extra variable (no suffix) and 2 extra variables (_2variables suffix).

WARNING!!! Before running, edit MyDNNKit/Configuration.py to enable the corresponding variables

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/testResolved.sh run as

source testResolved.sh

It builds the DNN and tests the resolved data, given the list of variables hardcoded in the MyDNNKit/Configuration.py. The same script exists for variables set with 1 extra variable (no suffix) and 2 extra variables (_2variables suffix).

WARNING!!! Before running, edit MyDNNKit/Configuration.py to enable the corresponding variables

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/getDFsize.py run as

python getDFsize.py

Prints the size of all the pickle files (file names hardcoded in the script)

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++ scripts/makeReports.C run as

root -b -q makeReports.C

Copies the images to the report folder and creates the tex files of the report beamers