1495 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 presents a systematic QCD sum-rule analysis of charged kaons in hot and dense matter, deriving their in-medium masses and decay constants to reveal a significant mass splitting driven by baryonic interactions and identifying a critical density threshold that signals the onset of chiral symmetry restoration.
This paper derives the probability for chiral oscillation of Majorana neutrinos within quantum field theory by utilizing the Bogoliubov transformation to relate lepton number eigenstates at different times, thereby characterizing the time variation of lepton number as a transition amplitude.
This paper investigates the interplay between dark matter scattering and light mediator absorption in direct detection experiments for Dirac and atomic dark matter models, identifying viable parameter spaces constrained by cosmology and astrophysics while highlighting the importance of distinguishing these signals to uncover the underlying physics.
This paper presents a detailed background mitigation analysis for the DUNE near detector, evaluating its capability to constrain or discover long-lived beyond-Standard-Model particles by investigating hard electromagnetic signatures in , , , and final states while accounting for realistic neutrino-induced backgrounds and detector effects.
This paper details the design, reconstruction, and commissioning of the cryogenic and purification systems for the ICARUS T600 detector, which was relocated from Gran Sasso to Fermilab and upgraded for operation with high-intensity neutrino beams to search for sterile neutrinos and measure neutrino-argon cross sections.
The paper introduces "disperon QED," a novel method leveraging dispersion relations, automated tools like OpenLoops, effective field theory, and threshold subtraction to efficiently handle data input for hadronic vacuum polarization insertions in two-loop Monte Carlo calculations, specifically demonstrated through the process in McMule.
This paper presents general methods for extracting transverse single-spin asymmetries using both binned and unbinned maximum likelihood approaches, specifically designed to address experimental challenges such as time-varying polarization, unequal spin-state luminosities, and the need for background subtraction and kinematic unfolding.
This report synthesizes the outcomes of the 2025 EIC-France Workshop, outlining theoretical advancements and strategic priorities for the French hadron-physics community, with a specific focus on immediate opportunities in inclusive diffraction and quarkonium production alongside longer-term goals in pion structure and exclusive three-body final states.
This study presents the first measurement of charged-particle nuclear modification factors in neon-neon collisions and systematically compares them with oxygen-oxygen, xenon-xenon, and lead-lead data to demonstrate that charged-particle suppression scales with nuclear size and is well-described by energy loss models rather than initial-state nuclear effects.
The authors demonstrate that a specific second-order -spin sum rule relating CKM-free hadronic weak charm decay rates holds within the Standard Model, is well-supported by existing data, and can be used to predict unmeasured decay rates.