1434 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 investigates the scattering of non-relativistic finite-size particles using the partial wave method to demonstrate how particle size significantly alters interaction potentials and cross sections, revealing non-perturbative effects in puffy dark matter direct detection that depend on the size-to-range ratio and offering stability-based constraints for nugget-type dark matter.
This paper investigates the feasibility of observing the muon trident process, including the first potential detection of electromagnetic pair production and QED bound states, at the LHC's far-forward FASER and FASER2 detectors through -tungsten collisions.
This paper constrains the process with in the low-mass region by recasting Standard Model measurements, establishing cross-section limits between 0.12 and 0.62 pb while identifying a notable preference for a new physics signal around GeV and GeV that can be accommodated within a top-philic two-Higgs-doublet model.
This paper proposes a string-derived supergravity model combining the Standard Model with gauged and modular symmetry, where anomaly cancellation conditions uniquely determine flavor structures and axion properties, predicting a specific axion mass and coupling while suppressing flavor-violating interactions and reproducing observed neutrino data.
This paper demonstrates that renormalization group running of the PMNS matrix, enhanced by light neutrinophilic new particles in low-scale neutrino mass models, can significantly increase the rate of high-energy "double bang" events at IceCube, making these signatures comparable to standard model predictions and offering a potential window into the origin of neutrino mass.
This paper presents a Geant4-based simulation and a dedicated minimum-ionization-particle (MIP) calibration method for the VLAST-P satellite's CsI electromagnetic calorimeter, demonstrating energy resolution better than 10% and linearity deviation below 2% to ensure accurate on-orbit energy reconstruction and detector stability.
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%.