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 study demonstrates that undoped CsI crystals coupled with SiPMs exhibit significantly enhanced light output and decay times at low temperatures (86 K), establishing them as a promising, world-competitive detector for low-mass dark matter searches via spin-dependent interactions.
This paper presents the first study of charge-dependent two-particle number and transverse momentum balance functions in pp collisions at TeV, revealing that balance functions narrow with increasing multiplicity and are wider in isotropic than jet-like events, while comparing PYTHIA8 and EPOS-LHC models to isolate hydrodynamic radial-flow effects on charge conservation.
This paper proposes utilizing large-volume neutrino telescopes as "Large Neutrino Colliders" to probe TeV-scale physics beyond the Standard Model by leveraging ultra-high-energy cosmic neutrinos that achieve center-of-mass energies exceeding the Large Hadron Collider's 14 TeV limit.
This paper investigates the discovery potential of heavy neutral leptons at the proposed TRISTAN same-sign muon collider, demonstrating that its high-energy lepton-number-violating and lepton-flavor-violating signatures could significantly surpass current electroweak precision bounds on HNL mixing, particularly for masses in the 5–10 TeV range.
This paper presents a precise theoretical calculation of the total and differential cross sections for radiative inverse beta decay using heavy baryon chiral perturbation theory, providing sub-permille accuracy essential for interpreting data from current and future reactor antineutrino experiments like JUNO.
This paper presents a complete, high-precision calculation of radiative corrections to the inverse beta decay reaction using heavy-baryon chiral perturbation theory, incorporating quantum electrodynamics, chromodynamics, and electroweak contributions to provide updated cross-section predictions essential for reactor neutrino flux normalization, oscillation parameter determination, and new physics searches.
This paper proposes a theoretical framework where a fundamental scale GeV, potentially arising from composite Higgs models, explains small neutrino masses and accidental baryon/lepton number symmetries while predicting a proton lifetime consistent with a potential Super-Kamiokande observation of decay, which Hyper-Kamiokande is expected to confirm.
Inspired by recent LHCb measurements, this paper utilizes the final-state rescattering framework to predict that the decays exhibit branching fractions around with direct CP asymmetries near 1%, whereas the channel shows negligible CP violation and branching ratios highly sensitive to the spin assignments of the states.
This paper demonstrates the successful implementation of neural networks on the front-end electronics of silicon particle detectors to perform real-time probabilistic inference of charged-particle kinematics, thereby enabling intelligent data selection at the sensor edge under strict constraints on bandwidth, latency, and power.
This paper presents a validated framework for reconstructing and identifying electromagnetic showers in the FASERnu emulsion detector using CERN test-beam data, achieving high background rejection and energy resolution through a multi-level selection algorithm and a clustering-based reconstruction method.