======= Likelihood construction and applications ======

//Members: Andy B, Ben F, Kar D, David Y, **Louie C**, Sabine//

Analysis combination:
  * subsets of compatible SRs
  * automatic determination of (approximate) orthogonality -- maybe using shared samples 
  * Demonstration of systematic correlation between analyses from SM uncertainty breakdowns (DY, LC)
    - LC: I mentioned yesterday the list of HEPData Entries which have uncertainty breakdowns. See here: https://gitlab.cern.ch/lhcewkwg/lhcewkwg-vjets/correlations-library/blob/master/RivetAnalysesWithErrorBreakdown.md
    - LC: The info is now propagated into YODA files automatically when downloaded from HEPData (since Nov 2018) 
    - LC: The error breakdown can be converted to a covariance matrix with these tools quite trivially. Here are some example tools to do so from the YODA files downloaded from HEPData: https://gitlab.cern.ch/lhcewkwg/lhcewkwg-vjets/correlations-library
    - LC: Once it is in a cov matrix form, is should be easy to use that for a simplified likelihood, AFAIK?


Full import of Rivet-HepData correlations and application to test B-L contur scan: http://www.hep.ucl.ac.uk/~yallup/LH2019Correlations.pdf

Stabilisation of SL computation:
  * Generator biasing
  * Automatic aggregation of SRs: Wolfgang code to cluster until some stopping criterion
  *