2503 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 presents the first measurement of antideuteron–net- number correlations in Pb–Pb collisions at the LHC, which align with statistical hadronization model predictions and thereby confirm that the previously observed deviation in antideuteron–antiproton correlations stems from nucleosynthesis processes rather than the hadronization mechanism.
Using a large sample of events collected by the BESIII detector, this study performs a partial wave analysis of the decay to measure the branching fraction of the channel, observe the decay for the first time with high significance, and determine the - mixing angle.
This paper presents the first measurement of elliptic flow for , K, and hadrons in O+O collisions at 5.36 TeV, revealing mass ordering at low transverse momentum and a significant baryon-meson splitting at intermediate transverse momentum that supports the existence of partonic collectivity and quark recombination in small collision systems.
The paper introduces SuperJEPA, a joint-embedding predictive architecture augmented with supervised objectives, which demonstrates improved downstream jet-tagging performance across various model sizes and dataset scales, even in high energy physics contexts where large labeled simulation datasets are already available.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS experiment, this study measures the fiducial cross section for Z production with a high- photon and the Z boson decaying to neutrinos, finding results consistent with the Standard Model while establishing the most stringent limits to date on anomalous neutral triple gauge couplings.
Super-Kamiokande reports a indication of electron antineutrinos from the diffuse supernova neutrino background (DSNB) based on a 5003-day dataset, yielding a best-fit flux of for energies above 13.3 MeV.
This paper proposes studying the Collins effect in photon-photon collisions producing back-to-back hadrons at future colliders like the FCC and LHC, predicting sizable azimuthal asymmetries of up to 10–15% that could significantly advance the understanding of quark fragmentation and distinguish between existing Collins function models.
This paper introduces a likelihood-based method for calculating upper confidence limits on axion-photon coupling in sequential adaptive frequency scans of axion haloscopes, demonstrating that it yields significantly more constraining results than existing Geometric and Bayesian Power-Measured (BPM) methods while clarifying the statistical foundations of the latter.
This paper calculates the branching ratio for the radiative Higgs decay into a meson and a photon, predicting a Standard Model value of approximately that could increase to if the charm quark's Higgs-Yukawa coupling is modified.
This paper demonstrates that Graph Neural Networks like ParticleNet enhance quark/gluon jet tagging by jointly leveraging constituent multiplicity and substructure, allowing them to correctly identify a significant fraction of jets where multiplicity alone suggests the opposite class.