1414 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.
Using 41.6 fb of 13 TeV proton-proton collision data collected by the CMS experiment in 2018, this study searches for low-mass hidden-valley dark showers via non-prompt muon pairs from Higgs boson decays, setting new upper limits on the branching fraction to dark partons and establishing first constraints on extended dark-shower models with dark photons.
Using 5 fb⁻¹ of proton-proton collision data at 13 TeV collected by the LHCb experiment, this study searches for long-lived heavy neutral leptons in B-meson decays to a muon-pion final state, finding no significant excess and setting new constraints on their mixing with muon neutrinos in the 1.6–5.5 GeV mass range for both lepton-number-conserving and violating scenarios.
Using events, the BESIII experiment set the world's most stringent limits on invisible baryon decays and oscillations, finding no evidence for baryon-number violation or connections to the dark sector.
This paper introduces an improved two-parameter analytical model for paralyzable radiation detectors that accounts for finite discriminator response time, offering superior accuracy in describing count rate relations, enabling independent parameter determination, and providing effective post-acquisition pile-up correction that allows for significantly faster data acquisition without compromising accuracy.
This paper proposes an augmented convolutional neural network (A-CNN) model that significantly enhances the sensitivity of liquid xenon time projection chambers to neutrinoless double-beta decay by achieving over 60% background rejection while maintaining 90% signal acceptance, thereby improving the projected sensitivity of experiments like XENONnT by approximately 40%.
This paper investigates unexpected anomalies in CMS experiment data identified by the OmniLearned foundation model, finding that while background estimates perform well in validation regions, they fail to accurately model the signal region, prompting a call for further scrutiny.
Using 5.4 fb of 13 TeV proton-proton collision data collected by the LHCb detector, this study measures the jet fragmentation functions and radial profiles of mesons reconstructed via decays, revealing an increasing contribution from gluon fragmentation as jet transverse momentum rises.
This paper presents a comprehensive five-year analysis of scintillation light performance in the MicroBooNE detector, detailing its simulation, calibration, and triggering efficiency while reporting novel observations of a significant long-term light yield decline and an unexpectedly high single photoelectron noise rate.
This paper introduces the FLASH haloscope experiment, which aims to detect Dark Matter and High-Frequency Gravitational Waves in the 117–360 MHz range, by detailing its cryogenic resonant cavities and advanced read-out system that utilizes Microstrip Superconducting Quantum Interference Amplifiers and Software-Defined Radio techniques to capture signals as weak as W.
The paper introduces the Ising noise filter, a portable, physics-informed graph-based algorithm that maps detector hits to binary spins to efficiently suppress background noise and improve track reconstruction in particle detectors, achieving high recall rates in both neutrino telescope and collider experiments.