313 citations · 556 across the 8 of their papers we have counts for
10 papers
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…
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…
The U.S. CMS HL-LHC R&D Strategic Plan
Oliver Gutsche, Tulika Bose, Margaret Votava +13
The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing infrastructure. The mission o…
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
Sunwoo Lee, Kai-yuan Hou, Kewei Wang +8
In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This…
Data Storage for HEP Experiments in the Era of High-Performance Computing
Amit Bashyal, Peter Van Gemmeren, Saba Sehrish +3
As particle physics experiments push their limits on both the energy and the intensity frontiers, the amount and complexity of the produced data are also expected to increase accor…
Grid-based minimization at scale: Feldman-Cousins corrections for SBN
Holger Schulz, Marianette Wospakrik, Mark Ross-Lonergan +6
We present a computational model for the construction of Feldman-Cousins (FC) corrections frequently used in High Energy Physics (HEP) analysis. The program contains a grid-based m…