activity
20112022
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 622 across the 14 of their papers we have counts for

collaborators

19 papers

hep-ex2022

Second Analysis Ecosystem Workshop Report

Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66

The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…

physics.comp-ph2022★ 2 cited

HEP computing collaborations for the challenges of the next decade

Simone Campana, Alessandro Di Girolamo, Paul Laycock +3

Large High Energy Physics (HEP) experiments adopted a distributed computing model more than a decade ago. WLCG, the global computing infrastructure for LHC, in partnership with the…

hep-ex2022★ 6 cited

Software and Computing for Small HEP Experiments

Dave Casper, Maria Elena Monzani, Benjamin Nachman +22

This white paper briefly summarized key conclusions of the recent US Community Study on the Future of Particle Physics (Snowmass 2021) workshop on Software and Computing for Small…

physics.data-an2022★ 1 cited

HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis

Jim Pivarski, Eduardo Rodrigues, Kevin Pedro +3

This paper was prepared by the HEP Software Foundation (HSF) PyHEP Working Group as input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which to…

hep-ph2021

HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators

The HSF Physics Event Generator WG, :, Efe Yazgan +36

This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group (WG), as an input to the second phase of the LHCC review of High-Luminosity…

physics.soc-ph2021

Learning from the Pandemic: the Future of Meetings in HEP and Beyond

Mark S. Neubauer, Todd Adams, Jennifer Adelman-McCarthy +36

The COVID-19 pandemic has by-and-large prevented in-person meetings since March 2020. While the increasing deployment of effective vaccines around the world is a very positive deve…

hep-ex2021

Software Training in HEP

Sudhir Malik, Samuel Meehan, Kilian Lieret +44

Long term sustainability of the high energy physics (HEP) research software ecosystem is essential for the field. With upgrades and new facilities coming online throughout the 2020…

hep-ex2020

Software Sustainability & High Energy Physics

Daniel S. Katz, Sudhir Malik, Mark S. Neubauer +16

New facilities of the 2020s, such as the High Luminosity Large Hadron Collider (HL-LHC), will be relevant through at least the 2030s. This means that their software efforts and tho…

physics.comp-ph2020

HL-LHC Computing Review: Common Tools and Community Software

HEP Software Foundation, :, Thea Aarrestad +107

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will b…

hep-ph2020★ 80 cited

Challenges in Monte Carlo event generator software for High-Luminosity LHC

The HSF Physics Event Generator WG, :, Andrea Valassi +38

We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics p…

cs.DC2019★ 188 cited

Rucio - Scientific data management

Martin Barisits, Thomas Beermann, Frank Berghaus +27

Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distr…

physics.comp-ph2018★ 1 cited

HEP Software Foundation Community White Paper Working Group - Data Processing Frameworks

Paolo Calafiura, Marco Clemencic, Hadrien Grasland +15

Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the essential tasks of physi…

physics.comp-ph2018★ 30 cited

Machine Learning in High Energy Physics Community White Paper

Kim Albertsson, Piero Altoe, Dustin Anderson +125

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…

physics.ed-ph2018★ 4 cited

HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers

HEP Software Foundation, :, Dario Berzano +15

The rapid evolution of technology and the parallel increasing complexity of algorithmic analysis in HEP requires developers to acquire a much larger portfolio of programming skills…

physics.comp-ph2018

HEP Community White Paper on Software trigger and event reconstruction: Executive Summary

Johannes Albrecht, Kenneth Bloom, Tommaso Boccali +39

Realizing the physics programs of the planned and upgraded high-energy physics (HEP) experiments over the next 10 years will require the HEP community to address a number of challe…

physics.comp-ph2018

HEP Community White Paper on Software trigger and event reconstruction

Johannes Albrecht, Kenneth Bloom, Tommaso Boccali +39

Realizing the physics programs of the planned and upgraded high-energy physics (HEP) experiments over the next 10 years will require the HEP community to address a number of challe…

physics.comp-ph2017★ 4 cited

HEP Software Foundation Community White Paper Working Group - Software Development, Deployment and Validation

Benjamin Couturier, Giulio Eulisse, Hadrien Grasland +10

The High Energy Phyiscs community has developed and needs to maintain many tens of millions of lines of code and to integrate effectively the work of thousands of developers across…

physics.comp-ph2017★ 240 cited

A Roadmap for HEP Software and Computing R&D for the 2020s

Johannes Albrecht, Antonio Augusto Alves, Guilherme Amadio +307

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facil…

physics.ins-det2011★ 66 cited

Charged Particle Tracking with the Timepix ASIC

Kazuyoshi Akiba, Marina Artuso, Ryan Badman +39

A prototype particle tracking telescope has been constructed using Timepix and Medipix ASIC hybrid pixel assemblies as the six sensing planes. Each telescope plane consisted of one…