defaultdatabase

Database used to activate or de-activate the various steps of the analysis chain.

case: LcpK0spp
download:
  alice:
    activate: false
conversion:
  mc: 
    activate: false
  data:
    activate: false
skimming: 
  mc:
    activate: false
  data:
    activate: false
merging: 
  mc:
    activate: false
  data:
    activate: false
mergingperiods: 
  mc:
    activate: false
  data:
    activate: false

Choose the type of analysis to be performed by setting properly case. There should be a corresponding database_ml_parameters_case.yaml. Activate or de-activate the various steps for data and Monte Carlo productions: download, conversion, skimming, merging, mergingperiods.

ml_study:   
  activate: false
  doscancuts: false
  applytodatamc: false
  doroc: false
  doboundary: false
  docorrelation: false
  docrossvalidation: false
  dogridsearch: false
  doimportance: false
  dolearningcurve: false
  dopca: false
  dosignifopt: false
  doefficiency: false
  dotesting: false
  dotraining: true

Configure the Machine Learning optimization part choosing the operations that have to be performed, e.g. training dotraining: true, testing dotesting: true, cross validation docrossvalidation: true, ...

mlapplication:
  data:
    doapply: false
    domergeapply: false
    domergeapplyperiods: false
  mc:
    doapply: false
    domergeapply: false
    domergeapplyperiods: false

Apply the model to data and Monte Carlo attaching the ML probability value to each candidate.

analysis:
  type: MBvspt
  data:
    histomass: true
  mc: 
    histomass: true
    efficiency: true
  dofit: true
  dojetstudies: false
  doeff: true
  docross: true

Analysis par. Choose the type of analysis to be performed, e.g. vs pt, vs multiplicity, ... Enable creation of the invariant mass histograms and efficiency, perform fit to extract raw signal and calculate cross section.

systematics:
  probvariation: false

Perform probability cut scan and evaluate systematic uncertainty.

validation:
  data: 
    docreatehisto: false
  mc: 
    docreatehisto: false
  plotevents: false

Get number of events analysed and for normalization (taking into account correction due to primary vertex reconstruction efficiency).