2610 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.
The ALICE experiment measured the transverse momentum spectra and integrated yields of anti- hyperons in pp and p-Pb collisions at TeV using a novel antineutron reconstruction method, finding that while multiparton-interaction models best describe the high- spectra, all tested models reproduce the total yields and nuclear modification factors within uncertainties.
This paper reports on the multiplicity dependence of f(980) production in pp collisions at TeV using the ALICE detector, finding that yield ratios decrease with increasing multiplicity and that thermal model comparisons suggest the f(980) does not contain significant hidden strangeness.
This paper presents the first measurement of production in minimum-bias and high-multiplicity pp collisions at TeV using a novel reconstruction method that combines converted and calorimeter photons, providing transverse-momentum spectra and ratios that agree with theoretical models and enabling future femtoscopic studies relevant to neutron star physics.
This study demonstrates that the diffusivity of radon progeny Pb and Po in Nylon-6 increases significantly under high relative humidity, reaching values around cm/s at 95% RH, thereby highlighting the critical need to control environmental humidity and radon exposure to prevent internal contamination in ultra-low background physics experiments.
Using LHCb data corresponding to an integrated luminosity of , this paper reports the first observation of the , , and decays and determines their branching fractions relative to the decay, opening new avenues for studying CP violation in beauty mesons.
This paper evaluates the validity of the Standard Model Effective Field Theory (SMEFT) versus the Higgs Effective Field Theory (HEFT) for Higgs pair production by comparing their predictions against "Loryon"-inspired UV-complete models, demonstrating that HEFT can offer a more accurate description than SMEFT in specific parameter regimes and highlighting di-Higgs measurements as a probe for non-linear electroweak dynamics.
This paper presents the first perturbative QCD predictions for the branching fractions and direct CP asymmetries of the quasi-two-body decays involving various -, -, and -wave resonances, finding results consistent with existing data and predicting vanishing CP asymmetries within the Standard Model.
This paper demonstrates that a team of large language model (LLM) agents can autonomously generate code to solve complex particle physics data analysis tasks, specifically anomaly detection on the LHC Olympics dataset, achieving performance comparable to human state-of-the-art results.
This paper demonstrates that NLO calculations are essential for achieving reliable predictions of the irreducible gluon-fusion background to vector boson fusion Higgs production, while providing consistent simulation setups to resolve discrepancies among existing event generators.
This paper introduces GRACE, an agentic AI system that autonomously designs and optimizes particle physics experiments by extracting structured representations from natural language or papers, constructing simulations, and iteratively proposing and evaluating detector modifications using first-principles Monte Carlo methods to improve physics performance under physical and budgetary constraints.