/WWWsearches

Selection optimization for WWW to 3l analysis

Primary LanguageJupyter Notebook

WWWsearches

Selection optimization for WWW to 3l analysis

The core notebook is in script/Tony_Run2WWW.ipynb Uses XGboost for selection optimization studies.

Data files needed are:

  • bkg_WZlvll.gz
  • bkg_WZqqll.gz
  • bkg_Wtll.gz
  • bkg_Wtllat.gz
  • bkg_ZZllll.gz
  • bkg_ZZqqll.gz
  • bkg_ZZvvll.gz
  • bkg_stl.gz
  • bkg_stlat.gz
  • bkg_ttW0.gz
  • bkg_ttW1.gz
  • bkg_ttW2.gz
  • bkg_ttZ0.gz
  • bkg_ttZ1.gz
  • bkg_ttll.gz
  • data_16A.gz
  • data_16B.gz
  • data_16C.gz
  • data_16D.gz
  • data_16E.gz
  • data_16F.gz
  • data_16G.gz
  • data_16I.gz
  • data_16K.gz
  • data_16L.gz
  • df_0.gz
  • df_1.gz
  • df_2.gz
  • df_data.gz
  • signal_WmWpWm.gz
  • signal_WpWpWm.gz

To convert from root ntuple to csv, this file is needed: https://gitlab.cern.ch/btong/WWWlvlvlv/blob/master/Makeplot/convert_tocsv.py