1395 papers
Hep-Ex explores the fascinating intersection where particle physics meets experimental reality. This field investigates how scientists build massive detectors and accelerate particles to test the fundamental laws of nature, turning abstract theories into measurable data. It is the rigorous process of searching for new particles or forces that could reshape our understanding of the universe, often requiring years of collaboration and engineering.
At Gist.Science, we ensure these discoveries become accessible to everyone. We process every new preprint in this category directly from arXiv, generating both plain-language explanations for curious readers and detailed technical summaries for specialists. Our goal is to bridge the gap between complex experimental results and public understanding without losing scientific nuance.
Below are the latest papers in Hep-Ex, freshly summarized and ready for you to explore.
This paper identifies unphysical features in the kinematic distributions of semileptonic decays involving resonances caused by neglected phase-space factors in the EvtGen Monte-Carlo generator's sampling algorithm and proposes a reweighting method to correct these affected simulated samples.
This paper presents training materials and resources developed by the HEP Software Foundation to equip physicists with Apptainer containerization skills, thereby enhancing the reproducibility, portability, and collaboration of High Energy and Nuclear Physics analyses.
This paper proposes a GeV-scale thermal dark matter scenario involving dark pions from a confining SU(3)/SO(3) sector, where the relic density is set by a unique "slide" mechanism of up-scattering and decay that evades direct detection but produces distinctive long-lived particle signatures at the LHC.
The STAR experiment's first measurements of two-particle transverse momentum correlations in fixed-target Au+Au collisions at GeV reveal a statistically significant () non-monotonic dependence on collision energy and a breakdown of independent-source scaling in central collisions, providing new constraints on the QCD equation of state and potential evidence for a critical point.
This paper presents a fast, high-fidelity generative model based on score-driven diffusion and the Point-Edge Transformer architecture that successfully simulates realistic, high-multiplicity heavy-ion collision events through a two-stage training strategy, demonstrating its potential to replace computationally intensive traditional simulations.
This paper proposes a source-informed event selection strategy for neutrino telescopes that preferentially retains events aligned with known candidate sources, demonstrating that this approach can improve median point source sensitivity by factors of 2–3 with only modest computational overhead.
Using continuum Schwinger function methods, this paper challenges the simple hydrogen-like atomic model of ground-state scalar and pseudoscalar charmonia by revealing their complex internal structures, including nontrivial orbital angular momentum contributions and non-positive-definite distribution amplitudes, while providing theoretical benchmarks for understanding heavy-quark hadrons.
This paper evaluates solar neutrino flux fluctuations caused by solar gravity modes, concluding that while detecting individual modes via time-varying flux changes is currently impossible due to their small amplitude, the non-time-varying component could produce a measurable, activity-cycle-dependent net increase in the mean neutrino flux that offers a potential method for constraining g-mode excitation theories.
Using high-resolution XRISM/Resolve spectroscopy combined with NuSTAR data and plasma modeling, this study characterizes the plasma dynamics of the AM Herculis accretion column by resolving intrinsic Fe line broadening to reveal velocity and temperature gradients, confirming resonance anisotropy, and deriving a self-consistent shock temperature of 24.0 keV and density of cm to constrain the column's geometry.
This paper demonstrates that while both unbinned and binned analysis methods are unbiased under ideal conditions, the binned method suffers significant bias from temperature uncertainties, prompting the authors to propose a novel stability-assessment procedure to ensure robust correlation estimates in underground muon flux studies.