activity
20152026
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 265 across the 8 of their papers we have counts for

collaborators

9 papers

physics.acc-ph2026

Incorporating Heightened Scrutiny into a Large HEP Software Project

Philippe Canal, Chris Green, Kyle Knoepfel +5

In 2023, DUNE began re-evaluating the requirements of its data-processing framework, which led to commissioning a new design that would better fit neutrino physics than the existin…

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…

quant-ph2022

Simulations for the Development of Quantum Computational Devices for HEP

James B. Kowalkowski, Adam L. Lyon

In this white paper, we describe characteristics of tools for classical simulations of quantum computational devices appropriate for High Energy Physics applications.

quant-ph2020★ 17 cited

Impacts of Noise and Structure on Quantum Information Encoded in a Quantum Memory

Matthew Otten, Keshav Kapoor, A. Barış Özgüler +4

As larger, higher-quality quantum devices are built and demonstrated in quantum information applications, such as quantum computation and quantum communication, the need for high-q…

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.ins-det2018★ 7 cited

Flexible and Scalable Data-Acquisition Using the artdaq Toolkit

Kurt Biery, Eric Flumerfelt, John Freeman +7

The Real-Time Systems Engineering Department of the Scientific Computing Division at Fermilab is developing a flexible, scalable, and powerful data-acquisition (DAQ) toolkit which…