Nucl-Ex represents the dynamic frontier where scientists probe the fundamental building blocks of matter through high-energy experiments. By smashing particles together at incredible speeds or observing rare cosmic events, researchers uncover the forces that govern our universe and test the limits of our current understanding of physics.

At Gist.Science, we ensure these breakthroughs reach a broader audience by processing every new preprint in this field directly from arXiv. For each study, we provide both a clear, plain-language explanation of the core discoveries and a detailed technical summary for those seeking deeper insights. Below are the latest papers in nuclear experiment research, curated to help you stay informed on the latest developments from the lab.

A Novel, Steerable, Low-Energy Proton Source for Detector Characterization

This paper reports on the successful conversion of the Manitoba II mass spectrometer into a versatile, steerable low-energy proton beam facility (25–35 keV) capable of characterizing silicon detectors for BSM searches like the Nab experiment by delivering a monoenergetic pencil beam with a 0.6–1.26 mm spot size over a 117 mm area.

Nicholas Macsai, August Mendelsohn, David Harrison, Russell Mammei, Michael Gericke, Leah Broussard, Erick Smith, Grant Riley, Glenn Randall, Mark Makela2026-02-06⚛️ nucl-ex

First Study of the Nuclear Response to Fast Hadrons via Angular Correlations between Pions and Slow Protons in Electron-Nucleus Scattering

This paper presents the first measurement of angular correlations between high-energy pions and slow protons in electron-nucleus scattering using the CLAS detector, revealing nuclear-mass-dependent trends that generally align with current theoretical models while highlighting specific discrepancies that guide future improvements in understanding cold-nuclear matter effects.

S. J. Paul, M. Arratia, H. Hakobyan, W. Brooks, A. Acar, P. Achenbach, J. S. Alvarado, W. R. Armstrong, N. A. Baltzell, L. Barion, M. Bashkanov, M. Battaglieri, F. Benmokhtar, A. Bianconi, A. S. Bisel (…)2026-02-06⚛️ nucl-ex

Corrections to the Smoothness and On-Shell Approximations in Femtoscopy and Coalescence

This paper derives model-independent expansions to quantify leading corrections to the smoothness and on-shell approximations in femtoscopy and coalescence, demonstrating that while these corrections are generally small (at or below the percent level) for LHC energy collisions, they can be efficiently evaluated with the same numerical complexity as standard methods.

Isaac G. Smith, Kfir Blum2026-02-05⚛️ nucl-ex

A Second EIC Detector: Physics Case and Conceptual Design

This closeout report for LDRD 23-050 details the physics case and conceptual design for a second, complementary Electron-Ion Collider (EIC) detector, outlining its scientific potential, innovative technology requirements, and strategic role in maximizing the EIC's multi-decade research capabilities.

Jihee Kim, Cheuk-Ping Wong, Thomas Ullrich, Zhoudunmin Tu, Brian Page, Elke Aschenauer, Alexander Jentsch, Alexander Bazilevsky, Alexander Kiselev, Oleg Kjeld Eyser, Xiaoxuan Chu, Zhengqiao Zhang, Evg (…)2026-02-05⚛️ nucl-ex

Anisotropic time evolution of sound modes in Bjorken expanding holographic plasma

This paper numerically investigates the time evolution of sound modes in a Bjorken-expanding N=4\mathcal{N}=4 Super-Yang-Mills plasma, revealing how longitudinal expansion-induced anisotropy splits the speed of sound into two distinct values and constructing an anisotropic hydrodynamic framework to interpret these findings for heavy-ion collision data.

Casey Cartwright, Ruchi Chudasama, Sergei Gleyzer, Durdana Ilyas, Matthias Kaminski, Marco Knipfer, Jun Zhang2026-02-04⚛️ nucl-ex

Jet-associated Balance Functions of Charged and Identified Hadrons in pp Collisions at s=13.6\sqrt{s}=13.6 TeV using PYTHIA8

This study utilizes PYTHIA8 to analyze charge balance functions of identified hadrons in high-multiplicity jets at s=13.6\sqrt{s}=13.6 TeV, revealing a narrowing balancing width and species-dependent dynamics that suggest multiparton interactions and color reconnection can generate collective-like features within small systems.

Subash Chandra Behera, Arvind Khuntia2026-02-04⚛️ nucl-ex

Machine-Learning Optimization of Detector-Grade Yield in High-Purity Germanium Crystal Growth

This paper presents a data-driven framework utilizing a Bidirectional Long Short-Term Memory (BiLSTM) neural network with multi-head attention to predict and optimize the yield of detector-grade high-purity germanium crystals by identifying key growth parameters such as impurity concentration and growth rate.

Athul Prem, Dongming Mei, Sanjay Bhattarai, Narayan Budhathoki, Sunil Chhetri2026-02-04⚛️ nucl-ex