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20232026
most citedPhysics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics

8 citations · 13 across the 4 of their papers we have counts for

collaborators

6 papers

hep-ph2026

Particle-level parton densities and uncertainties for the resolved photon at NLO

Andy Buckley, Frank Krauss, Peter Meinzinger +1

We present a new set of parton distribution functions (PDFs), PL26, for the resolved photon at next-to-leading order (NLO), the first to be fitted to a wide range of jet measure…

hep-ph2026

What has the LHC told us about the electroweakino sector of the Minimal Supersymmetric Standard Model?

Peter Athron, Csaba Balázs, Andy Buckley +19

We perform global fits of the electroweak sector of the Minimal Supersymmetric Standard Model (MSSM) using a comprehensive set of LEP searches, 34 Run 2 LHC searches, and 63 Run 2…

hep-ex2026

Data Preservation in High Energy Physics: Global Report 2026

Matthew Bellis, Jamie Boyd, Daniel Britzger +46

This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. I…

hep-ex2025★ 8 cited

Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics

Jorge de Blas, Monica Dunford, Emanuele Bagnaschi +127

The European Strategy for Particle Physics (ESPP) reflects the vision and presents concrete plans of the European particle physics community for advancing human knowledge in fundam…

hep-ph2025

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…

hep-ph2023★ 5 cited

Les Houches guide to reusable ML models in LHC analyses

Jack Y. Araz, Andy Buckley, Gregor Kasieczka +10

With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis p…