activity
20142026
most citedMachine Learning in Nuclear Physics

255 citations · 1.4k across the 70 of their papers we have counts for

collaborators

73 papers

physics.acc-ph2026

AI Acceleration of Muon Collider R&D: A Report from the AI4MuC Workshop

J. Scott Berg, David Bizzozero, Tulika Bose +27

A Muon Collider is one of the most attractive routes to multi-TeV lepton collisions, but it requires the accelerator and detector communities to solve a tightly coupled set of prob…

nucl-ex2026

ePIC Early Science Report

D. Abbott, N. Abdelrahman, S. Abhijit +781

This Early Science Report from the ePIC Collaboration outlines the compelling physics program achievable during the first years of operation of the Electron-Ion Collider (EIC), pri…

hep-ph2026

Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data

Cole Granger, Alessandro Bacchetta, Valerio Bertone +6

We present an analytical parametrization of the non-perturbative transverse-momentum-dependent (TMD) parton distribution function of unpolarized quarks, extracted from Drell-Yan da…

physics.ins-det2026

GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation

Cole Granger, James Giroux, Richard Tyson +2

Modern particles physics experiments have demonstrated an increasing need for fast, high-fidelity detector simulation as detector components have improved and subsequent computatio…

cs.DC2026

Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

Derek Anderson, Amit Bashyal, Markus Diefenthaler +13

The Production and Distributed Analysis (PanDA) system, originally developed for the ATLAS experiment at the CERN Large Hadron Collider (LHC), has evolved into a robust platform fo…

nucl-ex2026

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…

hep-ex2025

Search for the in the photoproduction cross section measurement of at GlueX

GlueX Collaboration

Based on 334 pb of photoproduction data collected with the GlueX detector at Jefferson Lab, we have measured for the first time the cross section of the exclusive reaction $…

hep-ex2025

Baryon-antibaryon photoproduction cross sections off the proton

GlueX Collaboration, F. Afzal, M. Albrecht +137

The GlueX experiment at Jefferson Lab has observed and, for the first time, and photoproduction from a proton target at photon energies up to 11.6 GeV.…

cs.AI2025★ 1 cited

The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)

Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97

This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…

nucl-ex2025

Measurement of the Total Compton Scattering Cross Section between 6.5 and 11 GeV

GlueX Collaboration, F. Afzal, C. S. Akondi +148

The total cross section for Compton scattering off atomic electrons, , was measured using photons with energies between 6.5 and 11.1 GeV incident on a Be t…

nucl-ex2025

First Measurement of Polarized Photoproduction Cross Section

GlueX Collaboration, F. Afzal, C. S. Akondi +149

We measure for the first time the differential photoproduction cross section of the meson at an average photon beam energy of 8.5~GeV, using data with an integr…

nucl-ex2024★ 5 cited

First Measurement of Near- and Sub-Threshold Photoproduction off Nuclei

J. R. Pybus, L. Ehinger, T. Kolar +65

We report on the first measurement of photoproduction from nuclei in the photon energy range of to GeV, extending above and below the photoproduction threshold in…

nucl-ex2024

Measurement of Spin-Density Matrix Elements in photoproduction

F. Afzal, C. S. Akondi, M. Albrecht +146

We measure the spin-density matrix elements (SDMEs) of the in the photoproduction reaction with the GlueX experiment in Hall D at Jefferson…

physics.ins-det2024

Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models

Cristiano Fanelli, James Giroux, Justin Stevens

Imaging Cherenkov detectors are crucial for particle identification (PID) in nuclear and particle physics experiments. Fast reconstruction algorithms are essential for near real-ti…

cs.SI2024

Unmasking Social Bots: How Confident Are We?

James Giroux, Ariyarathne Gangani, Alexander C. Nwala +1

Social bots remain a major vector for spreading disinformation on social media and a menace to the public. Despite the progress made in developing multiple sophisticated social bot…

nucl-ex2024★ 6 cited

Upper Limit on the Photoproduction Cross Section of the Spin-Exotic

GlueX Collaboration, F. Afzal, C. S. Akondi +147

The spin-exotic hybrid meson is predicted to have a large decay rate to the final state. Using 76.6~pb of data collected with the GlueX detector, we meas…

physics.ins-det2024

AI-Assisted Detector Design for the EIC (AID(2)E)

M. Diefenthaler, C. Fanelli, L. O. Gerlach +11

Artificial Intelligence is poised to transform the design of complex, large-scale detectors like the ePIC at the future Electron Ion Collider. Featuring a central detector with add…

physics.data-an2024★ 1 cited

Physics Event Classification Using Large Language Models

Cristiano Fanelli, James Giroux, Patrick Moran +3

The 2023 AI4EIC hackathon was the culmination of the third annual AI4EIC workshop at The Catholic University of America. This workshop brought together researchers from physics, da…

cs.CL2024★ 1 cited

Towards a RAG-based Summarization Agent for the Electron-Ion Collider

Karthik Suresh, Neeltje Kackar, Luke Schleck +1

The complexity and sheer volume of information encompassing documents, papers, data, and other resources from large-scale experiments demand significant time and effort to navigate…

cs.LG2023

ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering

Cristiano Fanelli, James Giroux

We introduce a physics-informed Bayesian Neural Network (BNN) with flow approximated posteriors using multiplicative normalizing flows (MNF) for detailed uncertainty quantification…

hep-ex2023★ 9 cited

Search for axion-like particles through nuclear Primakoff production using the GlueX detector

J. R. Pybus, T. Kolar, B. Devkota +40

We report on the results of the first search for the production of axion-like particles (ALP) via Primakoff production on nuclear targets using the GlueX detector. This search uses…

physics.acc-ph2023

Artificial Intelligence for the Electron Ion Collider (AI4EIC)

C. Allaire, R. Ammendola, E. -C. Aschenauer +92

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune t…

nucl-ex2023★ 19 cited

Strong Interaction Physics at the Luminosity Frontier with 22 GeV Electrons at Jefferson Lab

A. Accardi, P. Achenbach, D. Adhikari +441

This document presents the initial scientific case for upgrading the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab (JLab) to 22 GeV. It is the result of a…

nucl-ex2023★ 16 cited

Measurement of Spin-Density Matrix Elements in Production with a Linearly Polarized Photon Beam at

GlueX Collaboration, S. Adhikari, F. Afzal +150

The GlueX experiment at Jefferson Lab studies photoproduction of mesons using linearly polarized photons impinging on a hydrogen target which is contained within…