4–8 Dec 2023
CERN
Europe/Zurich timezone

Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf in Supersymmetry search

4 Dec 2023, 11:40
30m
222/R-003 (CERN)

222/R-003

CERN

30
Show room on map

Speaker

Vangelis Kourlitis (Technische Universitat Munchen (DE))

Description

This contribution signifies a shift in ATLAS statistical data analysis by implementing traditional fit strategies utilizing the pyhf library, alongside the cabinetry library. Leveraging a toy Supersymmetry search analysis, three fit strategies inspired by the HistFitter framework are implemented. The "background-only fit," "model-dependent signal fit," and "model-independent signal fit" strategies show the adaptability of pyhf, liberating the analysis from dependence on traditional ROOT-based tools. In addition to enhancing clarity regarding the statistical model itself, this implementation signifies a broader shift towards contemporary standards in data analytics.

Primary author

Vangelis Kourlitis (Technische Universitat Munchen (DE))

Presentation materials