2527 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 and validates the finite exponential mixture as a flexible, semi-parametric alternative to traditional parametric models for approximating smoothly falling background distributions in LHC new physics searches, demonstrating its effectiveness across both small and large datasets while maintaining low bias and consistent statistical coverage.
This paper presents the first amplitude-assisted regression procedure at next-to-leading-order QCD accuracy, augmented with parton-shower effects and machine-learning techniques, to robustly extract the longitudinal-boson production rate in di-boson collisions at the LHC.
This paper presents a methodology using track-fitting quality to discriminate the direction of cosmic muons sneaking into the COMET experiment's solenoid, successfully demonstrating a reduction in this critical background by an order of magnitude through Monte Carlo simulations.
This paper demonstrates that off-the-shelf commercial accelerometers can effectively measure and enable real-time, in situ vibration monitoring at millikelvin temperatures within cryogen-free dilution refrigerators, thereby facilitating noise mitigation for diverse fundamental physics applications.
This paper reviews theories involving confining dark sectors, highlighting their potential to explain dark matter candidates, the abundance similarity puzzle, and various experimental discovery channels, while advocating for further exploration of this class of models.
This paper presents a magnetically levitated ferromagnetic vector force sensor capable of distinguishing spin-dependent exotic interactions by mapping forces to distinct translational modes, thereby enabling sensitive searches for parity-violating electron-electron couplings in the previously inaccessible millimeter-scale range.
This paper presents a model-independent extraction of the nucleon axial form factor by fitting NNLO chiral perturbation theory with explicit resonance contributions to lattice QCD data, successfully describing pion-mass and momentum dependencies to yield precise physical-point values for the axial charge and radius.
Using 138 fb⁻¹ of proton-proton collision data at 13 TeV collected by the CMS detector, this study searches for physics beyond the Standard Model in four- and three-top quark production events to constrain effective field theory Wilson coefficients, exclude narrow topphilic heavy resonances, and extract the top quark Yukawa coupling.
The ATLAS experiment measured -jet correlations in $pp$ and Pb+Pb collisions at TeV by categorizing mesons based on their isolation from jets and promptness, revealing that strong suppression persists up to high transverse momenta and providing new constraints on charmonium production mechanisms and their interaction with the quark-gluon plasma.
This paper details the on-sky performance and operational history of the LSST Camera's record-breaking 189-sensor CCD array from its arrival in May 2024 through its first year of operations at the Rubin Observatory, highlighting the resolution of technical challenges and confirming the system's capability to execute the Legacy Survey of Space and Time.