2131 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 proposes a novel inverse problem framework for calculating non-perturbative QCD quantities by deriving them from high-energy perturbative inputs, utilizing Tikhonov regularization to stabilize the inherently ill-posed problem and demonstrating its efficacy through toy models.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS detector, this study measures differential top quark pair production cross sections in dilepton final states as a function of dineutrino system kinematic variables, finding results consistent with Standard Model predictions.
Using Xe double -decay data from the PandaX-4T experiment, this study performs the first direct spectral search to establish the most stringent limits to date on scalar-mediated neutrino self-interactions for mediator masses below 2 MeV, thereby constraining models aimed at resolving the Hubble Tension and providing new bounds on scalar-mediated dark matter interactions.
Using a dataset of events collected by the BESIII detector, this study pioneers the investigation of antineutron-proton interactions at an collider by measuring the cross-sections for the reactions , , and across a momentum range extending up to 1174 MeV/.
This paper proposes a Bayesian model selection framework utilizing genetic algorithms to navigate the SMEFT landscape as a space of competing operator hypotheses, demonstrating that this approach yields more robust characterizations of Wilson coefficients and clearer identification of model correlations than traditional global fits when applied to LEP and LHC data.
This paper re-evaluates the proposed Higgs-top-Z mass coincidence relation using 2025 PDG data and NNLO matching, finding that while the pole-level geometric relation remains a viable test, the corresponding exact running-coupling boundary condition is incompatible with measurements, thereby necessitating a finite matching factor or new symmetry to explain the observed mass spectrum.
The paper introduces PHAT-JeT, a novel transformer architecture that combines physics-inspired geometric message passing with a hierarchical patch-based attention mechanism to achieve state-of-the-art accuracy in real-time particle jet tagging while overcoming the computational constraints of standard transformers.
This paper investigates semileptonic sum rules in heavy-to-light charm decays to establish a precise consistency check for lepton-flavor universality ratios, enabling predictions for unmeasured observables like in transitions.
This paper demonstrates that Large Hadron Collider limits can be efficiently incorporated into online global fits of the phenomenological Minimal Supersymmetric Standard Model by using symbolic regression to derive fast, accurate mathematical approximations of ATLAS exclusion constraints.
This paper details the identification of a timing flaw in the ABCStar ASIC that threatened production yields, and the successful mitigation of this issue through a combination of increasing the core operating voltage and adjusting the clock duty cycle, thereby avoiding costly process changes or redesigns and enabling the continued production of ATLAS ITk detector modules.