2160 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 a radiation-hardened 130 nm CMOS delta-sigma current digitizer capable of achieving over 200 dB dynamic range and sub-picoampere resolution for beam loss monitoring, while maintaining a 10 µs response time for machine protection and demonstrating robust performance up to 100 Mrad total ionizing dose.
This paper presents a novel two-dimensional shift and rotation method that leverages the correlation between time-of-flight mass-squared and ionization energy loss to significantly improve charged pion and kaon identification in heavy-ion collisions, extending the reliable measurement range to approximately 3 GeV/ while maintaining over 98% purity and preserving elliptic flow consistency.
This white paper, produced by the EU-funded Cosmic WISPers network, reviews the theoretical motivations and ongoing searches for Weakly Interacting Slim Particles (WISPs) as dark matter candidates, while outlining a strategic roadmap to secure European leadership in this field through diverse and cost-effective experiments over the next decade.
This paper introduces a new, computationally efficient matrix-based algorithm for determining antineutrino directionality in segmented reactor detectors, offering improved accuracy and error analysis over conventional methods while identifying optimal segmentation scales for low-count regimes.
This paper presents the first observational constraints on Luciano-Saridakis entropic cosmology using combined background data, demonstrating that the model provides a statistically robust fit to current observations and offers a viable extension to the standard CDM model with the potential to alleviate the Hubble tension.
This paper proposes a unified framework where a "flavor in ninths" structure arises from a discrete gauge symmetry that simultaneously explains quark and lepton hierarchies, stabilizes the QCD axion with and a specific ratio, and naturally solves the axion quality problem via high-dimensional operators, predicting a dark matter axion within the reach of near-term experiments.
Using 13.6 TeV proton-proton collision data collected by the CMS detector, this study measures angular correlations within jets induced by gluon polarization and finds that the results strongly favor theoretical models incorporating gluon spin effects over those that neglect them.
This paper utilizes Fourier-Bessel transformations of exclusive meson production cross sections from photon-proton collisions to reveal that the proton's baryon number is concentrated in a transverse radius of 0.33–0.53 fm, which is significantly smaller than the proton's charge and mass radii.
Using QCD sum rules, this study interprets the resonance as an -wave molecular pentaquark state and calculates its mass and decay properties, finding results consistent with experimental data.
This paper presents an end-to-end global event reconstruction framework combining geometric algebra transformers and object condensation clustering that significantly outperforms state-of-the-art rule-based algorithms in efficiency, fake-particle suppression, and mass resolution for future collider experiments like FCC-ee, thereby enabling rapid detector design iteration by decoupling performance from detector-specific tuning.