4–8 Dec 2023
CERN
Europe/Zurich timezone

abcd_pyhf: Likelihood-based ABCD method for background estimation and hypothesis testing with pyhf

4 Dec 2023, 14:00
30m
304/1-007 (CERN)

304/1-007

CERN

25
Show room on map

Speaker

Mason Proffitt (University of Washington (US))

Description

The ABCD method is a common background estimation method used by many physics searches in particle collider experiments and involves defining four regions based on two uncorrelated observables. The regions are defined such that there is a search region (where most signal events are expected to be) and three control regions. A likelihood-based version of the ABCD method, also referred to as the "modified ABCD method", can be used even when there may be significant contamination of the control regions by signal events. abcd_pyhf is a standalone implementation of this method utilizing pyhf. This implementation does not make any assumptions about the underlying analysis and can thus be used or adapted in any analysis using the ABCD method. This lightning talk will summarize the abcd_pyhf project and its current status.

Primary author

Mason Proffitt (University of Washington (US))

Presentation materials