activity
20032026
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 426 across the 17 of their papers we have counts for

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10 papers · 1 filter

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ex2025

Recommendations for Best Practices for Data Preservation and Open Science in HEP

Simone Campana, Irakli Chakaberia, Gang Chen +33

These recommendations are the result of reflections by scientists and experts who are, or have been, involved in the preservation of high-energy physics data. The work has been don…

hep-ex2025

United States Muon Collider Community White Paper for the European Strategy for Particle Physics Update

A. Abdelhamid, D. Acosta, P. Affleck +301

This document is being submitted to the 2024-2026 European Strategy for Particle Physics Update (ESPPU) process on behalf of the US Muon Collider community, with its preparation co…

hep-ex2025

Data Preservation in High Energy Physics

Alexandre Arbey, Jamie Boyd, Daniel Britzger +45

Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful c…

hep-ex2023

Software Citation in HEP: Current State and Recommendations for the Future

Matthew Feickert, Daniel S. Katz, Mark S. Neubauer +2

In November 2022, the HEP Software Foundation and the Institute for Research and Innovation for Software in High-Energy Physics organized a workshop on the topic of Software Citati…

hep-ex2023★ 3 cited

Data Preservation in High Energy Physics

T. Basaglia, M. Bellis, J. Blomer +51

Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique da…