555 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 study reports the first experimental limit on the deuteron electric dipole moment () derived from invariant spin axis measurements at the COSY storage ring, demonstrating the feasibility of using such facilities for future searches for physics beyond the Standard Model.
This study presents the measurement of the Sm(,n)Gd reaction cross-section at sub-Coulomb energies (14–21 MeV) using the stacked foil activation technique, accompanied by a detailed covariance analysis of uncertainties and a comparison with both literature data and Hauser-Feshbach theoretical predictions.
The authors propose a universal empirical formula for proton-nucleus total inelastic cross-sections, valid from 15 MeV to 1 TeV, which is parameterized using experimental data for Carbon and Aluminium and validated against a wide range of target nuclei and existing models like GEANT4.
This paper argues that while Lorentz-boosted tau neutrinos at ultra-high energies ( eV) offer significantly greater detectability than muon neutrinos due to extended tau decay ranges, their observation remains rare, whereas lower-energy tau neutrino interactions (– eV) are predicted to occur more frequently in cubic-kilometer detectors.
This paper presents a theoretical modeling of axion-like particle production and decay into photons in proton-proton and lead-lead collisions at 5.02 TeV and 13 TeV, utilizing Good-Walker eigenstate models to calculate cross-section dependencies on collision energy, ALP mass, and event numbers based on ATLAS light-by-light scattering data.
This paper presents the first evidence of medium response to hard probes in heavy ion collisions by observing significant modifications in the distributions of low transverse momentum hadrons recoiling against Z bosons in lead-lead collisions, consistent with theoretical predictions of a hydrodynamic wake generated by energy depletion in the quark-gluon plasma.
This paper demonstrates that while convolutional neural networks struggle to predict jet energy loss in the presence of a QGP background, dynamic graph convolutional neural networks applied to background-subtracted particle clouds maintain high accuracy by effectively exploiting the full jet structure under realistic experimental conditions.
This study employs Monte Carlo variations of nuclear reaction rates within 1D core-collapse supernova models to demonstrate that while most reactions have minimal impact on iron-group production due to nuclear statistical equilibrium, specific "key reactions" significantly influence the synthesis of radioactive nuclei like Ti, necessitating a multi-reaction approach for accurate predictions.
This paper utilizes Poincaré-covariant Bethe-Salpeter wave functions to calculate pion and analogue state light-front wave functions, revealing that nonperturbative dynamical effects are significant, spin-aligned components are essential for accuracy, and Gaussian approximations fail to reliably describe transverse momentum dependent distributions at higher momentum scales.
This study presents a direct in-chamber measurement method for 220Rn (thoron) emanation that minimizes transfer losses and achieves a fivefold sensitivity increase over conventional flowthrough setups, offering an effective tool for background control in rare-event physics experiments.