15-19 February 2021
Europe/Paris timezone

Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results

18 Feb 2021, 14:00
virtual (online only) (CERN)

virtual (online only)



Wolfgang Waltenberger (Austrian Academy of Sciences (AT))


We present a novel algorithm to identify potential dispersed signals of new physics in the slew of published LHC results. It employs a random walk algorithm to introduce sets of new particles, dubbed "protomodels", which are tested against simplified-model results from ATLAS and CMS (exploiting the SModelS software framework).
A combinatorial algorithm identifies the set of analyses and/or signal regions that maximally violates the SM hypothesis, while remaining compatible with the entirety of LHC constraints in our database.
Demonstrating our method by running over the experimental results in the SModelS database, we find as currently best-performing protomodel a top partner, a light-flavor quark partner, and a lightest neutral new particle with masses of the order of 1.2 TeV, 700 GeV and 160 GeV, respectively.
The corresponding global $p$-value for the SM hypothesis is $p_\mathrm{global} \approx 0.19$; by construction no look-elsewhere effect applies.

Primary authors

Wolfgang Waltenberger (Austrian Academy of Sciences (AT)) Prof. Andre Lessa (CCNH - Univ. Federal do ABC) Sabine Kraml (LPSC Grenoble)

Presentation Materials