6 papers
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML
Andy Buckley, Louie Corpe, Martin Habedank +1
Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data…
Commissioning of proANUBIS: A proof-of-concept detector for the ANUBIS experiment
Giulio Aielli, Oleg Brandt, Patrick Collins +12
Long-lived particles (LLPs), predicted by various extensions of the Standard Model (SM), have become a key focus of the contemporary search programme for physics beyond the SM. To…
t-channel dark matter at the LHC -- a whitepaper
Chiara Arina, Benjamin Fuks, Luca Panizzi +67
This report, summarising work achieved in the context of the LHC Dark Matter Working Group, investigates the phenomenology of -channel dark matter models, spanning minimal setup…
Reinterpretation and preservation of data and analyses in HEP
Jon Butterworth, Sabine Kraml, Harrison Prosper +145
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…
Notes on recasting the ATLAS-EXOT-2019-23 search for pairs of displaced hadronic jets in the ATLAS calorimeter
Louie Corpe, Thomas Chehab, Andreas Goudelis
This note describes the validation of material allowing the reinterpretation of an ATLAS search for decays of pair-produced neutral long-lived particles decaying in the hadronic pa…
Probing exotic long-lived particles from the prompt side using the CONTUR method
Louie Corpe, Andreas Goudelis, Simon Jeannot +1
A method to derive constraints on new physics models featuring exotic long-lived particles using detector-corrected measurements of prompt states is presented. The CONTUR workflow…