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 paper presents the first complete next-to-leading order QCD calculation for fully charm tetraquark production at hadronic collisions, incorporating gluon radiation effects through resummation and utilizing LHCb and CMS data to extract universal long-distance matrix elements and predict kinematic distributions for the and its spin-zero partners.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS detector, this study presents inclusive and differential measurements of the cross section and its ratio to the cross section, all of which are found to be in agreement with Standard Model predictions.
This paper presents PrecisionSM, a curated database developed within the STRONG2020 and RMCL2 initiatives that compiles annotated low-energy hadronic cross-section data to support precise Standard Model tests via the muon anomalous magnetic moment, currently featuring dominant channels like , , and with plans for further expansion.
Using 4.5 fb⁻¹ of collision data collected by the BESIII detector, researchers report the first evidence for the semileptonic decays with a significance of 3.6 and measure a branching fraction of , which aligns with quark model predictions.
This paper demonstrates that embedding neural networks in the front-end electronics of silicon particle detectors enables efficient, low-latency probabilistic inference of charged-particle kinematics directly at the sensor edge, addressing the critical bandwidth and power constraints of modern high-rate scientific instruments.
This paper introduces a novel neural posterior estimation method for IceCube neutrino direction reconstruction that combines a transformer encoder with a spherical normalizing flow, achieving state-of-the-art angular resolution and significantly faster, constant-time all-sky scans for both track and shower events across a wide energy range.
This paper proposes a novel LHC search for GeV-scale particles coupling to light quarks by identifying low-multiplicity jets produced in association with a hard photon, a signature that distinguishes these signals from standard QCD backgrounds and extends the discovery reach into previously inaccessible parameter space.
This paper demonstrates that accounting for hadrons produced via ion electromagnetic dissociation, which break experimental exclusivity vetos, resolves long-standing tensions between theoretical predictions and LHC measurements for exclusive muon pair and coherent production.
This paper demonstrates that upcoming ultra-high-energy tau neutrino experiments like GRAND and POEMMA will provide significantly more stringent constraints on Lorentz invariance violation than current low-energy probes by analyzing deviations in flavor transition probabilities and event rates across single and multiple LIV operator scenarios.
This paper reviews the Regge approach to pomeron-pomeron fusion and investigates the feasibility of measuring exclusive central diffractive production of and mesons at the LHC to determine the pomeron's spin structure.