1387 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 study investigates the mortality mechanisms of ultra-thin Low Gain Avalanche Diodes and PiN diodes under high-energy particle irradiation by pre-irradiating devices and exposing them to proton and heavy ion beams, identifying distinct electrical and mechanical damage signatures to better understand and mitigate permanent radiation damage like Single Event Burnout in future high-radiation detector applications.
This paper introduces "SemiCharmTag," a novel tool for LHCb that utilizes secondary vertex hadron track tagging to effectively reject or isolate charm semileptonic backgrounds in dimuon Drell-Yan measurements at 13.6 TeV, significantly improving signal-to-background ratios while enabling the creation of unbiased charm-enriched samples.
This paper reviews recent analyses by the ATLAS and CMS Collaborations on rare top quark production processes, which, despite their low cross sections, offer unique sensitivity to top quark couplings and potential physics beyond the Standard Model.
This paper presents the TQ4Q2.0 fragmentation functions, a high-precision, uncertainty-quantified framework for modeling the production of all-heavy -wave tetraquarks in hadronic collisions, which extends previous models by incorporating nonconstituent heavy-quark contributions and advanced evolution schemes to establish a definitive baseline for future collider phenomenology.
This paper presents and characterizes a convolutional neural network-based algorithm designed to filter unnecessary detector hits, thereby accelerating online track reconstruction and mitigating the rising computational costs associated with high pile-up conditions at the High-Luminosity LHC.
This paper reports the successful development and commissioning of an integrated experimental system at ELI-NP, utilizing a 0.1 PW laser to search for axion-like particles via Four-Wave Mixing, which has been validated for background studies and is ready for a stepwise energy scale-up from 20 mJ to 2.5 J.
This paper characterizes the charge and timing responses, gain non-uniformity, and pulse artifacts of two 20-inch Hamamatsu R12860 photomultiplier tubes to support signal interpretation and systematic uncertainty estimation for the RENE neutrino detector.
This paper presents a simulation-based proof-of-concept demonstrating that isolated MeV-scale energy deposits ("blips") from neutron inelastic scattering in Liquid Argon Time Projection Chambers can be used to identify and reconstruct the direction and energy of final-state neutrons, thereby enhancing neutrino interaction studies such as neutrino-antineutrino separation.
This paper theoretically proposes using a low Earth orbit spacecraft, such as the China Space Station, to leverage the Earth's mass and spin as sources for detecting ultralight vector boson-mediated interactions, potentially improving existing constraints on these exotic fifth forces by up to three orders of magnitude.
Using LHCb data, this study performs an amplitude analysis of decays to measure their polarization fractions and $CP$ asymmetries, resulting in the first observation of $CP$ violation in this channel with a significance exceeding nine standard deviations.