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Reinterpretation of LHC Results for New Physics: Status and recommendations after Run 2


Abdallah, Waleed; et al; Owen, Patrick H; Arbey, Alexandre; Bagnaschi, Emanuele (2020). Reinterpretation of LHC Results for New Physics: Status and recommendations after Run 2. SciPost Physics Proceedings, 9(2):022.

Abstract

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

Abstract

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:07 Faculty of Science > Physics Institute
Dewey Decimal Classification:530 Physics
Scopus Subject Areas:Physical Sciences > General Physics and Astronomy
Language:English
Date:21 August 2020
Deposited On:17 Dec 2020 14:59
Last Modified:18 Dec 2020 21:02
Publisher:SciPost
ISSN:2666-4003
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.21468/scipostphys.9.2.022
Project Information:
  • : FunderH2020
  • : Grant ID722104
  • : Project TitleMCnetITN3 - Innovative Network for Monte Carlo Event Generators for LHC Physics

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