TACO_code

Project information

Code for the Testing Analyses’ COrrelations (TACO) project, by J. Araz, A. Buckley, B. Fuks, H. Reyes-González, W. Waltenberger, S. Williamson, and J. Yellen.

TACO uses Poisson bootstrapping to estimate acceptance overlaps between bins of collider-physics data analyses, and applies graph-theory techniques to construct the set of non-overlapping signal regions expected to give optimal model-exclusion power for BSM physics searches.

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README

Created on

May 03, 2021

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