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

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies

The CMS collaboration at the LHC reports the first observation of significant long-range collective flow in oxygen-oxygen and neon-neon collisions at 5.36 TeV, demonstrating that the measured flow harmonics and their ratios are sensitive to the intrinsic nuclear structures of 16^{16}O and 20^{20}Ne and provide new constraints for hydrodynamic models incorporating *ab initio* nuclear inputs.

CMS Collaboration2026-08-20
⚛️ nuclear experiments

The high-energy behavior of tree-level scattering in finite-temperature QCD: estimates of theoretical systematic uncertainty in jet-medium Monte Carlo simulations

This paper identifies significant deviations in high-energy tree-level scattering rates within thermal QCD compared to standard approximations, revealing that these discrepancies bias current jet-medium transport coefficient (q^\hat{q}) constraints and providing a framework to quantify the resulting theoretical systematic uncertainty for Bayesian analyses in Monte Carlo simulations.

Lukas Opitz, Hemanth Regi, Gojko Vujanovic2026-08-19
⚛️ nuclear experiments

Closed-form expressions for tree-level gluon-gluon scattering: a framework for obtaining theoretical systematic uncertainties for jet-medium Monte Carlo simulations

This paper revisits tree-level gluon-gluon scattering in thermal QCD to identify deviations from standard approximations, thereby establishing a framework for quantifying theoretical systematic uncertainties to improve Bayesian jet-medium Monte Carlo simulations.

Lukas Opitz, Hemanth Regi, Gojko Vujanovic2026-08-19
⚛️ nuclear theory

Generative artificial intelligence for reconstructing neutron-star matter

This paper introduces a generative AI framework using denoising diffusion models to reconstruct the neutron-star equation of state by learning an inspectable prior from nuclear theory while exactly enforcing physical constraints, thereby resolving the ill-posed inverse problem of inferring matter properties from sparse observational data without biasing the results.

Julia Yu. Panteleeva, Herzallah Alharazin, Evgeny Epelbaum2026-08-19
⚛️ high-energy experiments

Bound-state spectra of χcJ\chi_{cJ} in finite nuclei and the universal pattern of mass levels

This study predicts the existence of χcJ\chi_{cJ}-nuclear bound states across various nuclei using in-medium mass shifts from virtual D()Dˉ()D^{(*)}\bar{D}^{(*)} loops, revealing a universal level-spacing pattern that decreases with nuclear mass and could be verified in future experiments at the upgraded JLab facility.

Tian-Le Gao, Ze-Hua Zhang, Xiang Liu2026-08-19
⚛️ nuclear experiments

Revised 45^{45}V(p,γp,\gamma)46^{46}Cr reaction rate and its impact on the production of 44^{44}Ti in core-collapse supernovae

By incorporating a more precise mass measurement of 46^{46}Cr and new spectroscopic factors to revise the 45^{45}V(p,γp,\gamma)46^{46}Cr reaction rate, this study demonstrates that the resulting 69% increase in the rate significantly boosts 44^{44}Ti yields in proton-rich core-collapse supernova ejecta, thereby reconciling previous conflicting sensitivity analyses.

R. S. Sidhu, Y. Luo, C. Sarma, M. Wiescher, X. Xu2026-08-19
⚛️ nuclear theory

Symbolic Regression for Interpretable Emulation of Proton Collective Flow in Intermediate-Energy Heavy-Ion Collisions

This paper demonstrates that symbolic regression can effectively emulate the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model to predict proton collective flow observables with accuracy comparable to deep neural networks while providing interpretable analytic expressions and faster evaluation, despite requiring longer training times.

Nicholas Cox, Xavier Grundler, Bao-An Li2026-08-19
⚛️ nuclear experiments

Low-energy neutrino responses for 71Ga by electron capture rates, charge exchange reactions and shell model calculations

This study evaluates the weak Gamow-Teller responses for low-lying states in 71Ga{}^{71}\mathrm{Ga} by combining experimental electron capture rates, corrected charge exchange reaction data, and shell model calculations, finding that while excited states contribute approximately 4.2% to the total response, the Ga anomaly remains unexplained by these nuclear uncertainties.

Yoritaka Iwata, Hiroyasu Ejiri, Shahariar Sarkar2026-08-18