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.

⚛️ nuclear experiments

Measure charge transport in high-energy nuclear collisions with an energy scan of isobaric collisions

This paper proposes a beam-energy scan of isobaric collisions (Ru+Ru vs. Zr+Zr) to precisely measure electric-charge transport and distinguish between competing microscopic mechanisms of conserved-charge redistribution in QCD matter by comparing the rapidity dependence of charge and baryon transport.

Wendi Lv, Niseem Magdy, Rongrong Ma, Zebo Tang, Prithwish Tribedy, Chun Yuen Tsang, Zhangbu Xu2026-04-06
⚛️ nuclear experiments

JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physics

The paper introduces JetPrism, a configurable Conditional Flow Matching framework that addresses the misleading nature of standard training losses in nuclear physics simulations by establishing a multi-metric evaluation protocol to ensure generative models achieve true physical fidelity and convergence beyond generic loss indicators.

Zeyu Xia, Tyler Kim, Trevor Reed, Judy Fox, Geoffrey Fox, Adam Szczepaniak2026-04-03
⚛️ lattice

QCD in strong magnetic fields: fluctuations of conserved charges and equation of state

This paper presents continuum-estimated (2+1)-flavor lattice QCD results demonstrating that the baryon-electric charge correlation χ11BQ\chi^{\rm BQ}_{11} serves as a sensitive magnetometer for strong magnetic fields, while also mapping the equation of state up to eB0.8 GeV2eB \simeq 0.8~{\rm GeV}^2 and constructing detector-compatible observables to bridge theoretical predictions with experimental heavy-ion collision data.

Heng-Tong Ding, Jin-Biao Gu, Arpith Kumar, Sheng-Tai Li2026-04-02
⚛️ nuclear experiments

Absorption of 1PP-wave heavy charmonium χc1(1P)\chi_{c1}(1P) in nuclei

This paper investigates the photoproduction and nuclear absorption of χc1(1P)\chi_{c1}(1P) charmonium on 12^{12}C and 184^{184}W targets near the kinematic threshold using a collision model with nuclear spectral functions, demonstrating that calculated observables are sensitive to absorption scenarios and could help determine the χc1(1P)\chi_{c1}(1P)-nucleus cross section for future experiments at the CEBAF facility.

E. Ya. Paryev2026-04-02
⚛️ nuclear experiments

Triaxial shapes and the angular structure of nuclear three-body correlations

This paper establishes an analytical connection between triaxial nuclear shapes and three-particle correlations in relativistic heavy-ion collisions, demonstrating that specific flow and momentum fluctuation observables are directly proportional to the nuclear triaxiality parameter β23cos(3γ)\beta_2^3 \cos(3\gamma).

Hadi Mehrabpour, Giuliano Giacalone, Matthew W. Luzum2026-04-02
⚛️ nuclear experiments

Low-Order Bessel-Type PID Dynamics in Lithium-Based Tritium Breeding and Heat-Removal Systems

This paper presents a low-order analytical framework demonstrating that lithium-based tritium breeding and heat-removal systems in fusion reactors exhibit Bessel-type dynamics, enabling the effective application of PID controllers to manage thermal expansion and tritium inventory errors.

S. A. S. Borges (Federal University of São Carlos), S. D. Campos (Federal University of São Carlos)2026-04-01✓ Author reviewed
⚛️ high-energy experiments

Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning

This paper introduces a generalizable foundation model for calorimetry that leverages next-token transformer architectures combined with Mixture-of-Experts pre-training and parameter-efficient fine-tuning to enable modular, scalable, and computationally efficient simulation of particle showers across diverse materials and detector configurations without catastrophic forgetting.

Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux, Cole Granger, Benjamin Nachman, Gerald Sabin2026-04-01