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Usage
Gian Michele Innocenti edited this page Apr 11, 2019
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The package uses three databases to perform the analysis:
parameter database link: in this database one has to set most of the information needed to run the analysis. In particular:
- skimming_sel: selection on the reco candidates applied in the conversion
- skimming_sel_gen: selection on the gen candidates applied in the conversion
- skimming2_sel: selection on the reco candidates applied in the skimming
- skimming2_sel_gen: selection on the gen candidates applied in the skimming
- bitmap_sel: includes the list of bits used to perform track and candidate selection using the standard cut selection technique (defined at the TTree creation level)
- unmerged_tree_dir: directory of the unmerged TTree (in MC and data case)
- pkl_out: path where the converted pickle files will be stored.
- pkl_skimmed: path where the skimmed pickle files will be stored.
- pkl_merged: path where the merged pickle files for ML optimization are stored
- pkl_final: path where the final merged analysis pickle (with ML decision) will be stored
- var_all: total list of variables that will be stored in the pickles
- var_training: list of variables used for the training
run database link: in this database one has to activate the steps (described before) that one wants to activate. In particular:
- conversion
- skimming
- merging
- machine learning
- analysis std
- analysis ml
- analysis standard with custom cuts
- produce efficiency and invariant mass