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2019:groups:tools:correlations [2019/06/25 17:19]
sabine.kraml
2019:groups:tools:correlations [2019/06/27 17:10] (current)
sezen.sekmen [Quantifying overlaps between analysis search regions using ADLs]
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  ​====== Study: correlations between signal regions ======  ​====== Study: correlations between signal regions ======
  
-//Members: Sophie, Wolfgang, Humberto, Benj, Andy, Sabine, Sezen //+//​Members: ​**Sophie**, Wolfgang, Humberto, Benj, Andy, Sabine, Sezen //
  
 Problem statement: to identify pairs of signal regions of the analyses in the PAD database that can safely be treated as approximately uncorrelated. Problem statement: to identify pairs of signal regions of the analyses in the PAD database that can safely be treated as approximately uncorrelated.
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    * void manager.DumpSR(std::​ostream&​):​ writes a series of 0 and 1. One entry for each considered signal region. One line per event. To be included in the event loop.    * void manager.DumpSR(std::​ostream&​):​ writes a series of 0 and 1. One entry for each considered signal region. One line per event. To be included in the event loop.
    * void manager.HeadSR(std::​ostream&​):​ writes the header of the file: one comment line (starting with a hash) with the list of analysis-SR. To be included before entering the event loop/    * void manager.HeadSR(std::​ostream&​):​ writes the header of the file: one comment line (starting with a hash) with the list of analysis-SR. To be included before entering the event loop/
 +
 +
 +**Generic overview of [[RecastCodeComparison|what is implemented in which recast framework]]**
 +
  
  
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 | CMS-SUS-17-001 ​    | 2L stop          | T2tt(off), T6bbWW | UL  |  | CMS-SUS-17-001 ​    | 2L stop          | T2tt(off), T6bbWW | UL  | 
  
-From http://​madanalysis.irmp.ucl.ac.be/​wiki/​PublicAnalysisDatabase+See also http://​madanalysis.irmp.ucl.ac.be/​wiki/​PublicAnalysisDatabase
  
  
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 | CMS-SUS-16-039 ​    | multilepton EWK  | TChiWZ(off),​ TChiWH, TChipmSlep... | UL |  | CMS-SUS-16-039 ​    | multilepton EWK  | TChiWZ(off),​ TChiWH, TChipmSlep... | UL | 
  
 +==== Quantifying overlaps between analysis search regions using ADLs ====
  
-=== CheckMate - SModelS correspondence (13 TeV)=== +MembersSezenWolfgang (Harrison)
- +
-//... to be done ...// +
- +
-From https://​github.com/​CheckMATE2/​checkmate2/​tree/​master/​data/​analysis_info/​ +
- +
-atlas_1712_08119 ​    ​39 ​  ​electroweakinos search with soft leptons ​                                                    +
-   +
-atlas_1712_02332 ​    ​24 ​  ​squarks and gluinos0 lepton2-6 jets                                                         +
- +
-atlas_1709_04183 ​    ​14 ​  stop pair production, 0 leptons ​                                                              +
- +
-atlas_1802_03158 ​    ​7 ​   search for GMSB with photons ​                                                                +
- +
-atlas_1708_07875 ​    ​2 ​   electroweakino search with taus and MET                                                     +
- +
-atlas_1706_03731 ​   19 same-sign or 3 leptons RPC and RPV SUSY +
  
-cms_sus_16_039 ​     158  electrowekinos ​in multilepton final state    +Find and visualize overlaps ​in a model-independent way, without generating events using simple descriptions done using an [[[[2019:​groups:​tools:​adl|analysis description language]]. ​ Directly sample the event selection. ​ Useful for analysis design phase, or quick comparisons within experiments (e.g. Run2 CMS SUSY pMSSM combination)
  
-cms_sus_16_048 ​     20    ​two soft opposite sign leptons +  * Start from the analysis description,​ which lists objects and event selections. ​  
 +  * Construct a feature space from all mathematically orthogonal "​basic"​ variables (e.g. MET, jet1.pt, jet2.pt, electron1.eta,​ ...).   
 +  * Randomly sample the feature space for each analysis based on cuts on the feature space components (jet1.pt > 100, MET > 299, etc.). 
 +  * Use the sampled points to compute values for "​composite"​ variables such as HT(jets), dphi(jets), MT(lepton, MET), etc. 
 +  * Compare feature spaces between analyses, find and visualize overlaps and exclusions. 
 +  * As a very simple first step, we simply check if two analyses are disjoint in any of the basic variables.
  
-Here's also a table with a [[RecastCodeComparison]] 
  
2019/groups/tools/correlations.1561475955.txt.gz · Last modified: 2019/06/25 17:19 by sabine.kraml