103 citations · 133 across the 5 of their papers we have counts for
5 papers
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…
Long Range Outlook for Short-Range Correlations
Nadia Fomin, Or Hen, Julian Kahlbow +99
Short range correlated (SRC) N N pairs are pairs of nucleons with high relative momentum (prel > kF where kF ~ 250 MeV/c is the Fermi momentum in medium to heavy nuclei) and lower…
Separation of electrons from pions in GEM TRD using deep learning
Nilay Kushawaha, Yulia Furletova, Ankhi Roy +1
Machine learning (ML) is no new concept in the high-energy physics community, in fact, many ML techniques have been employed since the early 80s to deal with a broad spectrum of ph…
Revealing the structure of light pseudoscalar mesons at the Electron-Ion Collider
John Arrington, Carlos Ayerbe Gayoso, Patrick C Barry +29
How the bulk of the Universe's visible mass emerges and how it is manifest in the existence and properties of hadrons are profound questions that probe into the heart of strongly i…
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
E. Cisbani, A. Del Dotto, C. Fanelli +44
Advanced detector R&D requires performing computationally intensive and detailed simulations as part of the detector-design optimization process. We propose a general approach to t…