Modernizing the ATLAS Statistical Analysis: Implementing HistFitter Strategies with pyhf - Vangelis

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.

Speaker: Vangelis Kourlitis

Indico agenda: https://indico.cern.ch/event/1294577/...
GitLab repository: https://gitlab.cern.ch/ekourlit/pyhf2...