2591 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 beam-energy scan of isobaric collisions (Ru+Ru vs. Zr+Zr) to precisely measure electric-charge transport and distinguish between competing microscopic mechanisms of conserved-charge redistribution in QCD matter by comparing the rapidity dependence of charge and baryon transport.
This paper derives and validates a comprehensive analytical model for photomultiplier single photoelectron responses that replaces ad hoc noise descriptions with a physically grounded function accounting for electron back-scattering at the first dynode, alongside analytical descriptions for fully amplified peaks and low-charge signals.
Using proton-proton collision data from the LHCb experiment, this study sets new 90% confidence level upper limits on the branching fractions of the rare decays and , improving the previous limit for the mode by a factor of 2.5.
Using precise data from the BESIII collaboration, this paper presents compelling evidence for a subthreshold pole in the process with a mass of approximately 3896 MeV, suggesting its identification as the state.
This paper introduces a novel Log Gaussian Cox Process (LGCP) method for modeling smooth backgrounds in high energy physics that minimizes assumptions about the underlying shape by utilizing a Gaussian process for the intensity function and Markov Chain Monte Carlo for optimization, demonstrating its effectiveness through synthetic experiments against traditional analytic functional forms.
The paper proposes the ITACA apparatus, which enhances gas xenon time projection chambers for neutrinoless double-beta decay searches by introducing trace ammonia to create slow-drifting ammonium ions, enabling high-resolution ion-track imaging that complements electron tracking to significantly improve background rejection through superior topological discrimination.
This paper systematically classifies dimension-six baryon-number-violating SMEFT operators under various flavor-symmetry assumptions, demonstrating how their interplay with neutrino masses can allow for multi-TeV BNV scales consistent with proton decay constraints, while also identifying UV completions where the effective field theory description may be insufficient.
This study estimates a 1.3% statistical uncertainty on the cross-section measurement of the process at a 10 TeV Muon Collider by utilizing the TauFinder algorithm for efficient hadronic tau reconstruction and comparing results with other future collider sensitivities.
This paper presents a new angular-resolved reflectance measurement system operating in a gaseous argon atmosphere that characterizes aluminum and stainless steel materials relevant to DUNE, revealing significantly lower vacuum ultraviolet reflectance (10–15%) compared to UV-VIS values and providing critical data for optimizing future noble gas detector simulations.
This paper proposes that dark particles with lepton-flavor-violating couplings to the tau lepton can trigger decay cascades resulting in rare, high-multiplicity neutrinoless tau decays (such as or ) that dominate over traditional three-body signatures and offer new experimental search channels across various dark sector models.