1495 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 enhancing low-energy neutrino reconstruction and classification in the KM3NeT/ORCA telescope by utilizing transformer models with physics-informed attention masks to incorporate explicit detector and physical knowledge, thereby improving performance and cross-configuration fine-tuning capabilities.
This paper demonstrates that future subpercent-level precision measurements of the Standard Model Higgs diphoton signal strength can indirectly probe and decisively constrain the parameter space of Type-II Seesaw models that currently evades direct LHC searches due to cascade decays.
This paper investigates the two-body nonleptonic decays of into accompanied by pseudoscalar or vector mesons using the naive factorization approach, calculating decay amplitudes across various topologies to determine rates and branching ratios for comparison with other theoretical predictions and experimental data.
This paper demonstrates that the holistic approach, which utilizes inclusive information from all reconstructed particles, significantly enhances the precision of Higgs boson hadronic decay branching ratio measurements at the CEPC by a factor of two to four compared to previous methods, with projected statistical uncertainties ranging from 0.16% to 5.21%.
This paper introduces the first end-to-end differentiable optical particle detector simulator that unifies simulation, calibration, and reconstruction into a single gradient-based framework, demonstrating improved accuracy, speed, and flexibility for analyzing large-scale neutrino detectors compared to traditional methods.
This paper reports the first optical observation of negative ion drift at surface pressure in a He:CF:SF mixture using an optically read-out TPC, demonstrating multi-species ion transport and validating the feasibility of large-scale, low-diffusion optical TPCs for rare event searches.
This paper extends a single-flavon -lattice Froggatt-Nielsen framework to the lepton sector, successfully generating charged-lepton mass hierarchies and a normal-ordered neutrino spectrum while predicting a distinct two-branch correlation between the atmospheric mixing angle and the CP-violating phase , with a lower-octant solution (, ) favored by theoretical priors.
The NUCLEUS experiment characterizes the unidentified low energy excess in its sapphire detector by demonstrating that the excess rate is independent of particle background levels but decreases with slower cooling procedures, following a universal power-law decay over time.
This paper proposes that intelligent, human-supervised AI agents built on deep learning and large language models represent the next evolution of the scientific method, enabling researchers to manage unprecedented data complexity and scale discovery, as demonstrated by the Dr. Sai system in particle physics.
This paper presents a physics-informed neural network approach to extract a universal small- dipole scattering amplitude directly from global DIS and photoproduction data without rigid parametric assumptions, successfully resolving the long-standing tension between total and charm cross-section channels while providing a smooth, non-negative input for Color Glass Condensate phenomenology.