548 papers
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.
This paper demonstrates that an emulator based on eigenvector continuation can significantly accelerate coupled-channels calculations for sub-barrier fusion reactions while accurately extracting nuclear deformation parameters, thereby providing a powerful tool for systematically exploring intrinsic nuclear shapes.
This paper presents the first measurements of and hyperon production in high-multiplicity proton-proton collisions at TeV, revealing a strong correlation between multi-strange hadron yields and final-state multiplicity that extends to the highest multiplicities in pp collisions and is better described by state-of-the-art models incorporating string interactions and collective expansion.
The ALICE Collaboration reports the first measurements of the average transverse-momentum fraction for strange hadrons in 13 TeV pp collisions, revealing distinct production trends for mesons and baryons that current Monte Carlo models fail to describe.
Using a large dataset of approximately five billion Pb-Pb collisions at TeV collected by the ALICE detector during LHC Run 3, this paper presents the first measurement of the elliptic flow for (anti)hypertriton (H) and a study of that for helium-3 (He), providing critical constraints on hadronization models and insights into the production mechanisms of light (hyper)nuclei.
This paper proposes that the global hyperon polarization observed in low-energy heavy-ion collisions can be partially explained (accounting for ~23% of the signal) by a mechanism linking it to long-standing transverse polarization phenomena via the alignment of production and reaction planes driven by directed flow, rather than solely by quark-gluon plasma vorticity.
By combining high-precision liquid-state -NMR measurements of short-lived K with advanced atomic and nuclear theories, this study successfully determines the spatial distribution of nuclear magnetization and reveals a persistent overestimation of spin contributions in current nuclear models, thereby establishing a robust method for benchmarking nuclear structure theory and searching for physics beyond the Standard Model.
This paper demonstrates that assuming unpolarized mesons introduces a dominant, unquantified systematic uncertainty in nuclear modification factor () measurements, highlighting the critical need for precise polarization data to accurately interpret heavy quarkonium interactions with the Quark-Gluon Plasma.
This paper demonstrates that transfer learning with Generative Adversarial Networks effectively extrapolates physics information from synthetic neutrino-carbon scattering data to related processes like neutrino-argon and antineutrino-carbon interactions, significantly outperforming models trained from scratch and maintaining high accuracy even with limited statistics.
This paper utilizes a maximum entropy freeze-out approach to quantify how non-universal mapping parameters and the distance between the critical point and the freeze-out curve influence factorial cumulants of proton multiplicities, thereby linking QCD thermodynamics near a critical point to observable event-by-event fluctuations in heavy-ion collisions.
This study demonstrates that incorporating QCD small- energy evolution (JIMWLK) into the IP-Glasma initial state framework significantly alters key heavy-ion collision observables, such as particle multiplicities and flow correlations, highlighting the critical necessity of nonlinear QCD evolution for accurately modeling early-stage dynamics and extracting quark-gluon plasma transport properties.