169 papers
This paper presents a general method for reconstructing the spin density matrix of multi-particle systems from angular decay data using Bloch parameterization and Wigner-Weyl transforms, and applies it to Monte Carlo simulations of massive particle decays to propose measurements for detecting entanglement and Bell inequality violations.
This paper proposes that intelligent, human-supervised AI agents built on deep learning and large language models represent the next evolution of the scientific method, enabling researchers to manage unprecedented data complexity and scale discovery, as demonstrated by the Dr. Sai system in particle physics.
This paper presents a conceptual design and simulation study of a novel high-granularity crystal electromagnetic calorimeter using orthogonally arranged scintillating bars and SiPMs, demonstrating an energy resolution of $1.12\%/\sqrt{E(\mathrm{GeV})}\oplus0.22\%$ that significantly exceeds the requirements for precision measurements at future Higgs factories.
This paper presents an energy-core-based photon reconstruction method utilizing the Hough transform, which achieves near-perfect efficiency and separation for high-energy photons in dense environments, as validated by simulations of the CEPC crystal electromagnetic calorimeter.
This paper demonstrates a novel "tuning-by-opening" mechanism for a NbSn superconducting microwave cavity that achieves continuous frequency tuning exceeding 1 GHz while maintaining a high quality factor suitable for dark matter searches, all without inserting elements into the resonant volume.
The NUCLEUS experiment characterizes the unidentified low energy excess in its sapphire detector by demonstrating that the excess rate is independent of particle background levels but decreases with slower cooling procedures, following a universal power-law decay over time.
This paper reports the first optical observation of negative ion drift at surface pressure in a He:CF:SF mixture using an optically read-out TPC, demonstrating multi-species ion transport and validating the feasibility of large-scale, low-diffusion optical TPCs for rare event searches.
This paper proposes a physics-informed Bayesian latent diffusion model that integrates probabilistic encoding, diffusion dynamics, and physics constraints to achieve stable and reliable anomaly detection for new physics searches in collider data.
This paper introduces the first end-to-end differentiable optical particle detector simulator that unifies simulation, calibration, and reconstruction into a single gradient-based framework, demonstrating improved accuracy, speed, and flexibility for analyzing large-scale neutrino detectors compared to traditional methods.
This paper demonstrates that Graph Neural Networks outperform traditional models like TabNet in estimating muon particle momentum for the CMS experiment, highlighting the critical role of node feature dimensionality and the benefits of leveraging the data's inherent graph structure to improve trigger system efficiency.
This paper proposes enhancing low-energy neutrino reconstruction and classification in the KM3NeT/ORCA telescope by utilizing transformer models with physics-informed attention masks to incorporate explicit detector and physical knowledge, thereby improving performance and cross-configuration fine-tuning capabilities.
This paper proposes a modularized, fully differentiable deep learning architecture that generates physically consistent radio pulse signals from in-ice neutrino interactions, enabling gradient-based optimization of the future IceCube-Gen2 detector design.
This paper investigates the two-body nonleptonic decays of into accompanied by pseudoscalar or vector mesons using the naive factorization approach, calculating decay amplitudes across various topologies to determine rates and branching ratios for comparison with other theoretical predictions and experimental data.
This paper demonstrates that future subpercent-level precision measurements of the Standard Model Higgs diphoton signal strength can indirectly probe and decisively constrain the parameter space of Type-II Seesaw models that currently evades direct LHC searches due to cascade decays.
This paper demonstrates that renormalization group running of the PMNS matrix, enhanced by light neutrinophilic new particles in low-scale neutrino mass models, can significantly increase the rate of high-energy "double bang" events at IceCube, making these signatures comparable to standard model predictions and offering a potential window into the origin of neutrino mass.
This paper proposes a string-derived supergravity model combining the Standard Model with gauged and modular symmetry, where anomaly cancellation conditions uniquely determine flavor structures and axion properties, predicting a specific axion mass and coupling while suppressing flavor-violating interactions and reproducing observed neutrino data.
This paper constrains the process with in the low-mass region by recasting Standard Model measurements, establishing cross-section limits between 0.12 and 0.62 pb while identifying a notable preference for a new physics signal around GeV and GeV that can be accommodated within a top-philic two-Higgs-doublet model.
This paper investigates the feasibility of observing the muon trident process, including the first potential detection of electromagnetic pair production and QED bound states, at the LHC's far-forward FASER and FASER2 detectors through -tungsten collisions.
This paper investigates the scattering of non-relativistic finite-size particles using the partial wave method to demonstrate how particle size significantly alters interaction potentials and cross sections, revealing non-perturbative effects in puffy dark matter direct detection that depend on the size-to-range ratio and offering stability-based constraints for nugget-type dark matter.
This paper honors Henry Primakoff by reviewing his legacy and recent experimental tests of Chiral Perturbation Theory via Primakoff reactions at CERN and Jefferson Laboratory, which confirm two-flavor predictions while highlighting the need for future measurements with kaons and eta mesons to validate three-flavor theories involving strange quarks.