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--- 2019:groups:tools:correlations [2019/06/26 16:08]
andy.buckley
+++ 2019:groups:tools:correlations [2019/06/27 16:30]
wolfgang.waltenberger [Quantifying overlaps between analysis search regions using ADLs]
@@ Line 57: / Line 57: @@
 | CMS-SUS-16-039     | multilepton EWK  | TChiWZ(off), TChiWH, TChipmSlep... | UL |
+==== Quantifying overlaps between analysis search regions using ADLs ====
+Members: Sezen, Wolfgang (, Harrison)
+Find and visualize overlaps in a model-independent way, without generating events.  Directly sample the event selection.  Useful for analysis design phase, or quick comparisons within experiments (e.g. Run2 CMS SUSY pMSSM combination)
+  * 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.

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