1738 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 demonstrates that employing state-of-the-art deep-learning jet flavor taggers combined with XGBoost classifiers at a future Higgs factory operating at 240 GeV with 20 ab luminosity significantly improves the precision of measuring Higgs decays to and $gg$ while enabling the first quantitative sensitivity estimate for the challenging channel.
This paper proposes using Bell-type inequalities as operator-level diagnostics in collider experiments to demonstrate that fundamental Standard Model interactions, when treated as measurement settings for entangled particle pairs, generate non-contextual correlations that violate local realism through their inherent algebraic structure.
This paper introduces the first application of a GPT-like transformer architecture to fully generative simulation of silicon tracking detectors, achieving performance comparable to full simulation while ensuring full correlations between individual hits.
This paper quantifies how astrophysical uncertainties in the dark matter velocity distribution impact direct detection rates across all non-relativistic effective field theory operators by employing Kullback-Leibler divergence to reveal that uncertainties can vary from less than one order of magnitude to as much as three orders of magnitude, depending on the specific operator's dependence on velocity-weighted moments.
This paper extends the description of neutrino flavor oscillations to shorter propagation times by deriving an amplitude expression that reveals a threshold for the transition from virtual to real intermediate states, thereby demonstrating that the Jacob--Sachs theorem remains valid with higher accuracy than previously anticipated.
This paper reports a room-temperature demonstration of a Cavallo electrostatic multiplier system that successfully generated approximately 255 kV from a 25 kV input in SF gas, validating its potential as a viable low-current, in situ high-voltage source for cryogenic precision measurements while highlighting electrode surface preparation and alignment as critical factors for future reliability.
This paper introduces "simplex demixing," a machine-learning framework that enables the data-driven extraction and operational definition of multiple light-flavor jet categories (such as up-quark, down-quark, and gluon jets) from collider data by identifying maximally separable features within a bounded geometric structure.
This paper employs an exactly solvable 1D crystal lattice model to demonstrate that the transition from coherent to incoherent dark matter-nucleus scattering is governed by the diminishing importance of crystal momentum conservation as multiphonon production increases, thereby validating the use of incoherent approximations for sub-GeV dark matter detection in realistic 3D crystals.
This paper presents state-of-the-art predictions for heavy jet mass distributions in hadronic Higgs decays by computing next-to-next-to-next-to-leading logarithmic resummation in the dijet limit and next-to-next-to-leading logarithmic resummation including Sudakov shoulder effects in the trijet limit, matched to next-to-next-to-leading order within Soft-Collinear Effective Theory.
This paper proposes a quantum electrodynamics model for massive dyons based on a gauge group that abandons the Dirac quantization condition, and rigorously demonstrates its quantum consistency by proving it is free of anomalies and multiplicatively renormalizable at all orders using BRS algebraic renormalization and the BPHZL procedure.