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.

Probing Nuclear Structure with Kaonic Atoms through E2 Resonance Mixing

This paper investigates the E2 nuclear resonance effect in kaonic molybdenum isotopes using advanced Dirac-Fock calculations and updated nuclear data to demonstrate how kaonic atoms can serve as a unique probe for nuclear structure and assess the observability of this phenomenon in future experiments like EXKALIBUR.

Simone Manti, Luca De Paolis, Leonardo Abbene, Francesco Artibani, Massimiliano Bazzi, Giacomo Borghi, Damir Bosnar, Mario Bragadireanu, Antonino Buttacavoli, Mario Carminati, Alberto Clozza, Francesc (…)2026-04-01⚛️ nucl-ex

A systematic approach to Covariance matrix formulation in charged particle activation experiments

This paper presents a systematic framework for constructing covariance and correlation matrices in charged particle activation experiments by explicitly calculating both statistical and systematic uncertainties through sensitivity coefficients and parameter propagation, thereby demonstrating the critical importance of accounting for correlated uncertainties in the interpretation and comparison of experimental cross-section data.

Tanmoy Bar2026-04-01✓ Author reviewed ⚛️ nucl-ex

Azimuthal Anisotropy Scaling Functions for Identified Particle and Anti-Particle Species across Beam Energies: Insights into Baryon Junction Effects

This paper establishes species-resolved azimuthal anisotropy scaling functions across a wide range of beam energies to quantitatively separate viscous and hadronic effects, revealing a non-monotonic viscosity behavior near the QCD critical region and providing strong evidence for baryon junction-driven net-baryon transport at finite baryon chemical potential.

Roy A. Lacey (Department of Chemistry, Stony Brook University, Stony Brook, NY)2026-03-31⚛️ nucl-ex

Probing the QCD Critical End Point with Finite-Size Scaling of Net-Baryon Cumulant Ratios

This paper applies finite-size scaling to net-baryon cumulant ratios from Au+Au collisions across the Beam Energy Scan Phase I range, revealing a universal collapse consistent with 3D Ising critical behavior and pinpointing the QCD critical end point at approximately sCEP33.0\sqrt{s}_{\rm CEP}\approx33.0 GeV (μB,CEP130\mu_{B,\rm CEP}\approx130 MeV, TCEP158.5T_{\rm CEP}\approx158.5 MeV).

Roy A. Lacey (Department of Chemistry, Stony Brook University, Stony Brook, NY, USA)2026-03-31⚛️ nucl-ex

Sign Reversal of Boer-Mulders Functions from Semi-inclusive Deep-Inelastic Scattering to the Drell-Yan Process

This paper reviews the theoretical and experimental status of the predicted sign reversal of Boer-Mulders functions between semi-inclusive deep-inelastic scattering and Drell-Yan processes, demonstrating that current data supports this reversal for proton valence quarks while highlighting future prospects for testing it in pions at the Electron-Ion Collider.

Jen-Chieh Peng, Ming-Xiong Liu, Guanghua Xu2026-03-31⚛️ nucl-ex

Linking Electromagnetic Moments to Nuclear Interactions with a Global Physics-Driven Machine-Learning Emulator

This paper introduces a global, physics-constrained machine-learning emulator that quantitatively links nuclear electromagnetic moments to specific components of chiral nuclear forces, revealing their unique sensitivity to spin and isospin sectors and enabling uncertainty-quantified predictions for observables beyond current experimental reach.

Jose M. Munoz, Antoine Belley, Andreas Ekström, Gaute Hagen, Jason D. Holt, Ronald F. Garcia Ruiz2026-03-31⚛️ nucl-ex

Xenon Signal Denoising via Supervised, Semi-Supervised, and Unsupervised Models

This study demonstrates that supervised, semi-supervised, and unsupervised machine learning models can effectively denoise simulated single-phase liquid xenon time projection chamber signals to achieve energy resolutions of approximately 1% or better, offering a promising path toward enhancing the sensitivity of neutrinoless double beta decay searches.

Grant Kendrick Parker, Jason Brodsky, Indra Chakraborty2026-03-31⚛️ nucl-ex

Interaction of accelerator neutrinos with energies up to 55 MeV with 127{}^{127}I nuclei

This study investigates the interaction of accelerator neutrinos up to 55 MeV with 127{}^{127}I nuclei at the SNS, calculating cross sections that reveal the dominant contribution of the Gamow-Teller resonance GTR-1 (60–80%) alongside significant effects from higher resonances GTR-2 and AR-2, with theoretical results showing agreement with experimental data below the neutron separation threshold.

Yu. S. Lutostansky, A. N. Fazliakhmetov, V. N. Tikhonov, G. A. Koroteev, N. A. Belogortseva, N. V. Klochkova, A. Yu. Lutostansky, A. P. Osipenko, E. Yu. Zemskov2026-03-31⚛️ nucl-th