2092 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 establishes a quantitative framework linking local spin polarization and quantum entanglement in two-qubit systems by deriving a closed-form upper bound on concurrence that is saturated by pure states, and demonstrates its application to the process where polarization significantly constrains maximal entanglement.
This paper presents the results of cosmic-ray tests on timing detectors utilizing extruded scintillators and wavelength-shifting fibers read out by SiPMs, detailing their performance in terms of light yield, time resolution, and longitudinal coordinate resolution.
This paper introduces a Nearest Neighbors-based fitting method for multivariate amplitude analysis of particle decays that utilizes weighted Monte Carlo events to construct probability density functions, thereby eliminating the need for analytic formulas or intensive re-generation while ensuring accurate reconstruction modeling and efficient multi-threaded performance.
This paper presents the design, specifications, and simulation results of PSEC6, an 8-channel 40 GSa/s waveform sampling ASIC fabricated in TSMC 65nm technology that features a novel 10.24 GHz PLL and achieves picosecond-level timing resolution for advanced particle physics applications.
Using 138 fb of 13 TeV proton-proton collision data, the CMS experiment reports a 6.1 excess in the single-lepton channel near the top quark pair production threshold, consistent with the observation of a color singlet pseudoscalar toponium state and confirming a similar excess previously found in the dilepton channel.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS detector, this study presents the first global simultaneous search for top quark flavor-changing neutral currents within the Standard Model effective field theory framework, establishing the most stringent limits to date on relevant Wilson coefficients and decay branching fractions without observing any evidence for such interactions.
Motivated by the recent LHC excess, this paper investigates whether a top-philic Type-III Two-Higgs-Doublet Model can simultaneously explain the anomaly and generate the observed baryon asymmetry of the Universe through electroweak baryogenesis, finding that while the model supports a strong first-order phase transition, only the explicit CP violation scenario remains viable within the current one-loop treatment compared to the transitional CP violation scenario.
This paper demonstrates that color triality constraints on vacuum hadronization allow the simultaneous measurement of conserved current flows (electric charge, baryon number, and strangeness) in jets to directly probe nonperturbative QCD parameters, specifically the diquark-to-quark production ratio and strange-to-light pair-production ratio, while satisfying the Gell-Mann–Nishijima relation.
This paper quantifies the statistical trials factor of the ATLAS BSM resonance program by calculating that its current published record requires a local significance of 6.55σ for a 5σ global discovery, while a fully combinatorial scan would only marginally increase this requirement to 7.11σ, and further argues that two-stage unblinding is a superior safeguard against spurious signals in machine-learning searches where trials factors are difficult to enumerate.
This paper proposes a method to distill large normalizing flows into lightweight, FPGA-deployable student models using advanced quantization and conditional architectures, thereby enabling real-time, high-performance anomaly detection at the LHC despite strict latency and resource constraints.