hep-ex

Cavity, lumped-circuit, and spin-based detection of axion dark matter: differences and similarities

Hydrodynamics and Energy Correlators

This paper provides a unified theoretical framework for the angular structure of energy-energy correlators (EECs) in heavy-ion collisions, demonstrating how they transition from being dominated by collective hydrodynamic flow at large angles to being controlled by hydrodynamic modes and light-ray operator product expansions at smaller angles.

Angular analysis of the $B^+\to\pi^+\mu^+\mu^-$ decay

This paper presents the first measurement of the angular distribution parameters, specifically the forward-backward asymmetry ($A_{\rm FB}$) and the flat term ($F_{H}$), for the $B^+\to\pi^+\mu^+\mu^-$ decay using LHCb data, finding results that are largely consistent with Standard Model predictions.

Solar Reflection of Inelastic Dark Matter

This paper investigates how solar-reflected inelastic dark matter, which is accelerated by solar electrons, can produce detectable energy signals in terrestrial experiments, potentially allowing for new constraints on MeV-scale dark matter models.

$b\to s\ell^+\ell^- (\ell = e, \mu, \tau)$ and $b\to s\nu\bar\nu$ at Belle and Belle II

Using a combined dataset of $1.2~\mathrm{ab}^{-1}$ from Belle and Belle II, this paper explores rare $B$ meson decays involving leptons and neutrinos, including the first inclusive measurement of $B\to X_s\nu\bar\nu$ and searches for $\tau^+\tau^-$ final states.

Downward ultra-high-energy neutrino detection in the air with radio antennas at ground-based observatories

This paper proposes a method for identifying ultra-high-energy neutrinos by using ground-based radio antennas to reconstruct the depth of air shower maximum ($X^{\text{radio}}_{\text{max}}$), a technique that significantly enhances sensitivity to deeply developing, highly inclined showers compared to traditional particle detectors.

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

HGQ-LUT is a new LUT-aware training approach that enables fast, automated, and hardware-efficient deployment of neural networks on FPGAs by accelerating training by over 100 times and providing an end-to-end workflow for optimizing accuracy-resource trade-offs.

Cryogenic pure CsI as a probe for neutrino electromagnetic interactions

This paper proposes using cryogenic undoped cesium iodide (CsI) as a novel detector material that, by suppressing nuclear recoil signals, becomes a highly sensitive and scalable probe for neutrino-electron electromagnetic interactions at reactor sites.

Dr.Sai: An agentic AI for real-world physics analysis at BESIII

Dr.Sai is an LLM-powered multi-agent system designed to automate complex High Energy Physics workflows by translating natural language into rigorous analysis code, successfully validating its capability through autonomous re-measurements of J/psi decay branching fractions at BESIII.

Searches for light exotic scalar decays at the e$^+$e$^-$ Higgs factory

This paper presents the expected sensitivity and cross-section limits for detecting light exotic scalars via the "scalar-strahlung" process at a 250 GeV International Linear Collider (ILC), utilizing both full and fast simulations for various decay channels.