23 citations · 43 across the 9 of their papers we have counts for
4 papers · 1 filter
Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype
Roger Rusack, Bhargav Joshi, Alpana Alpana +2
We present a new publicly available dataset that contains simulated data of a novel calorimeter to be installed at the CERN Large Hadron Collider. This detector will have more than…
FAIR AI Models in High Energy Physics
Javier Duarte, Haoyang Li, Avik Roy +14
The findable, accessible, interoperable, and reusable (FAIR) data principles provide a framework for examining, evaluating, and improving how data is shared to facilitate scientifi…
A FAIR and AI-ready Higgs boson decay dataset
Yifan Chen, E. A. Huerta, Javier Duarte +10
To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and re…
Quantum Sensing for High Energy Physics
Zeeshan Ahmed, Yuri Alexeev, Giorgio Apollinari +113
Report of the first workshop to identify approaches and techniques in the domain of quantum sensing that can be utilized by future High Energy Physics applications to further the s…