489 citations · 3.2k across the 45 of their papers we have counts for
6 papers · 1 filter
BOA Constrictor: A Mamba-based lossless compressor for High Energy Physics data
Akshat Gupta, Caterina Doglioni, Thomas Joseph Elliott
The petabyte-scale data generated annually by High Energy Physics (HEP) experiments like those at the Large Hadron Collider present a significant data storage challenge. Whilst tra…
Baler -- Machine Learning Based Compression of Scientific Data
Fritjof Bengtsson, Caterina Doglioni, Per Alexander Ekman +6
Storing and sharing increasingly large datasets is a challenge across scientific research and industry. In this paper, we document the development and applications of Baler - a Mac…
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 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…
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…
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…