High Energy & Particle · Physics & Astronomy
High Energy Physics - Experiment
The newest papers in High Energy Physics - Experiment that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
73 papers, from 6 September 2026 to 5 November 2026: 73 arXiv preprints.
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Newest papers, page 2
Search for $\mathrm{GeV}$-scale axion-like particles in PbPb collisions
A search is performed for the production of axion-like particles with masses in the range 3-10 GeV using PbPb collision data recorded by the LHCb experiment, corresponding to an integrated…Quantum Correlations Between Two Giant Dipole Resonances in Ultra-Peripheral Collisions
Mutual Coulomb dissociation in ultra-peripheral heavy-ion collisions is dominated by Giant Dipole Resonance (GDR) excitation, whose subsequent decays produce forward neutrons.Search for $^4\overline{\mathrm{Li}}$ from $\overline{\mathrm{p}}+{}^3\overline{\mathrm{He}}$ femtoscopy in Pb-Pb collisions at $\sqrt{s_\mathrm{NN}} =5.36$ TeV with ALICE
In these proceedings, the search for $^4\overline{\mathrm{Li}}$ in Pb-Pb collisions with ALICE is presented.Probing micron-range fifth forces with cold atoms in optical tweezer arrays
We propose a new method to search for fifth forces at micron scales, by resonantly exciting the motional state of ground-state-cooled atoms in optical tweezer arrays.Collinear Factorization and Evolution
The method of collinear factorization for high-energy inclusive cross sections has found wide use in the analysis of hadronic collisions.Improved nonflow control for multiparticle correlators and system-size-dependent evolution from OO to Pb--Pb collisions at the LHC
Multiparticle correlations of event-plane angles, known as symmetry plane correlators (SPCs), and correlations of anisotropic flow amplitudes of different harmonics, known as symmetric cumulants…What the Primary Lund Plane Omits: A Model-Stitching Diagnosis of a Jet-Tagger Representation Gap
Lund-plane and Particle Transformer (ParT) jet taggers can differ in performance because one representation is weaker, or because a weaker downstream computation reads an adequate one.An end-to-end framework for uncertainty-aware validation of generative models
Density estimation with generative models is a common task in the physical sciences, for example in background estimation in particle physics.A Correspondence Between Qubit- and Boson-Based Sensing Protocols
Recent years have seen a surge of interest in adapting non-classical states to search for physics beyond the Standard Model, including both qubit- and boson-based systems.SuperJEPA: Pretraining with a Supervision-Augmented Joint-Embedding Predictive Architecture for High Energy Physics
Foundation models often obtain powerful results through very large unlabeled training datasets that dwarf available labeled datasets in size, but high energy physics already provides large samples…Photon-Number Discrimination from Increasing Time-of-Arrival Separation in Wide Superconducting Microstrip Single-Photon Detectors
Measurements of photon-number-dependent time-of-arrival (TOA) distributions in wide NbN superconducting microstrip single-photon detectors (SMSPDs) are presented.Track finding and particle identification performance with particle physics foundation models
Modern high energy nuclear and particle physics experiments produce large amounts of sparse data that must be reduced significantly in size before performing physics analysis.Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power.How Far Can Foundation Models Be Distilled for Efficient Jet Tagging?
Jet tagging is one of the most important applications of machine learning at the Large Hadron Collider.Continuous Measurement of Quantum Axion Dark Matter
We provide a fully quantum-mechanical description of the continuous measurement of wavelike dark matter.A Radiation-Hardened, Fault-Aware Quantized Neural Network That Self-Heals
Deep learning (DL) models are increasingly being deployed into radiation-challenging environments in spacecraft, particle accelerators, and, soon, space-based data centers.LEAF: LUT-aware Efficient Attention on FPGAs
We introduce Lookup-table (LUT)-aware Efficient Attention on FPGAs (LEAF).This is SParTA: A modular, efficient and scalable transformer architecture for jet-tagging
We present the Sparse Particle-interaction Transformer Architecture (SParTA), a modular, scalable, and efficient transformer for jet tagging at high-energy colliders.Where should we look for the deviation from quantum mechanics?
We argue that the experimental measurement of the lifetime and decay law of metastable helium is a promising way to find a deviation from quantum mechanics.Testing the inelastic dark matter interpretation of the LZ event with heavy-element experiments
We consider the inelastic dark matter interpretation of the recent 248 keV event observed by LZ and identify different experiments that could test it.