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2020

A SModelS interface for pyhf likelihoods

Alguero, Gaël, Kraml, Sabine, Waltenberger, Wolfgang

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SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a $\mathbb{Z}_2$ symmetry.

We here present a new version of SModelS that can use the full likelihoods now provided by ATLAS in the form of pyhf JSON files.
This much improves the statistical evaluation and therefore also the limit setting on new physics scenarios.

A SModelS interface for pyhf likelihoods · Around

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arXiv:1909.09226
Original
G. Aad, et al., Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two b b -jets in (pp) collisions at s = 13 \sqrt{s}=13 TeV with the ATLAS detector, Eur. Phys. J. C 80 (8) (2020) 691, HEPData entry: https://doi.org/10.17182/hepdata.90607.v2 · 1909
Earlier work this paper cites.
arXiv:1911.06660
Original
G. Aad, et al., Search for direct stau production in events with two hadronic τ \tau -leptons in s = 13 \sqrt{s}=13 TeV p p pp collisions with the ATLAS detector, Phys. Rev. D 101 (3) (2020) 032009 · 1911
Earlier work this paper cites.
arXiv:1203.2489
Original
S. Kraml, et al., Searches for New Physics: Les Houches Recommendations for the Presentation of LHC Results, Eur. Phys. J. C 72 (2012) 1976 · 1976
Earlier work this paper cites.
arXiv:2002.12220
Original
G. Brooijmans, et al., Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report, in: 11th Les Houches Workshop on Physics at TeV Colliders: PhysTeV Les Houches, 2020 · 2002
Earlier work this paper cites.
doi:10.1088/0954-3899/28/10/313
A. L. Read, Presentation of search results: The CL(s) technique, J. Phys. G 28 (2002) 2693–2704 · 2002
Earlier work this paper cites.
arXiv:2003.07868
Original
W. Abdallah, et al., Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2, SciPost Phys. 9 (2020) 22 · 2003
Earlier work this paper cites.
C. K. Khosa, S. Kraml, A. Lessa, P. Neuhuber, W. Waltenberger, SModelS database update v1.2.3, to appear in LHEP. arXiv:2005.00555
Original
2005
Earlier work this paper cites.

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Later among the works it cites.
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