4-8 November 2019
Adelaide Convention Centre
Australia/Adelaide timezone

Likelihood preservation and statistical reproduction of searches for new physics

7 Nov 2019, 12:00
15m
Hall G (Adelaide Convention Centre)

Hall G

Adelaide Convention Centre

Oral Track 6 – Physics Analysis Track 6 – Physics Analysis

Speaker

Matthew Feickert (Southern Methodist University (US))

Description

Likelihoods associated with statistical fits in searches for new physics are beginning to be published by LHC experiments on HEPData [arXiv:1704.05473]. The first of these is the search for bottom-squark pair production by ATLAS [ATLAS-CONF-2019-011]. These likelihoods adhere to a specification first defined by the HistFactory p.d.f. template [CERN-OPEN-2012-016]. This is per-se independent of its implementation in ROOT and it is useful to be able to run statistical analysis outside of the ROOT and RooStats/RooFit framework. We introduce a JSON schema that fully describes the HistFactory statistical model and is sufficient to reproduce key results from published ATLAS analyses. Using two independent implementations of the model, one in ROOT and one in pure Python, we reproduce the sbottom multi-$b$ limits using the published likelihoods on HEPData underscoring the implementation independence and long-term viability of the archived data.

Consider for promotion Yes

Primary authors

Giordon Holtsberg Stark (University of California,Santa Cruz (US)) Lukas Alexander Heinrich (CERN) Matthew Feickert (Southern Methodist University (US)) Kyle Stuart Cranmer (New York University (US))

Presentation Materials