Anomaly Detection for Resonant New Physics with Machine Learning [PDF]
Physical Review Letters, 2018 Despite extensive theoretical motivation for physics beyond the Standard Model (BSM) of particle physics, searches at the Large Hadron Collider (LHC) have found no significant evidence for BSM physics.
Collins, Jack H. +2 more
core +2 more sources
Adversarially-trained autoencoders for robust unsupervised new physics searches [PDF]
Journal of High Energy Physics, 2019 Machine learning techniques in particle physics are most powerful when they are trained directly on data, to avoid sensitivity to theoretical uncertainties or an underlying bias on the expected signal.
Andrew Blance +2 more
doaj +2 more sources
Machine-Learning Compression for Particle Physics Discoveries [PDF]
arXiv.org, 2022 In collider-based particle and nuclear physics experiments, data are produced at such extreme rates that only a subset can be recorded for later analysis.
J. Collins +4 more
semanticscholar +1 more source
Partial-wave projection of the one-particle exchange in three-body scattering amplitudes [PDF]
Physical Review D, 2023 As the study of three-hadron physics from lattice QCD matures, it is necessary to develop proper analysis tools in order to reliably study a variety of phenomena, including resonance spectroscopy and nuclear structure.
A. Jackura, R. A. Briceño
semanticscholar +1 more source
Quantum machine learning for particle physics using a variational quantum classifier [PDF]
Journal of High Energy Physics, 2020 Quantum machine learning aims to release the prowess of quantum computing to improve machine learning methods. By combining quantum computing methods with classical neural network techniques we aim to foster an increase of performance in solving ...
A. Blance, M. Spannowsky
semanticscholar +1 more source
Theoretical tools for neutrino scattering: interplay between lattice QCD, EFTs, nuclear physics, phenomenology, and neutrino event generators [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2022 Maximizing the discovery potential of increasingly precise neutrino experiments will require an improved theoretical understanding of neutrino-nucleus cross sections over a wide range of energies.
L. A. Ruso +56 more
semanticscholar +1 more source
Twisted particle collisions: A new tool for spin physics [PDF]
, 2020 Collisions of twisted particles --- that is, non-plane-wave states of photons, electrons, or any other particle, equipped with a non-zero orbital angular momentum (OAM) with respect to its propagation direction --- offer novel ways to probe particle ...
I. Ivanov +3 more
semanticscholar +1 more source
Interpretation of LHC excesses in ditop and ditau channels as a 400-GeV pseudoscalar resonance [PDF]
Journal of High Energy Physics, 2021 Since the discovery in 2012 of the Higgs boson at the LHC, as the last missing piece of the Standard Model of particle physics, any hint of new physics has been intensively searched for, with no confirmation to date.
E. Arganda +3 more
semanticscholar +1 more source
Anomalous resonance between low-energy particles and electromagnetic plasma waves
Communications Physics, 2022 Cyclotron resonance between plasma waves and charged particles is a fundamental and ubiquitous process in the plasma universe, during which the particle’s gyromotion has a constant phase in the wave field to enable a sustained energy exchange.
Jing‐Huan Li +13 more
semanticscholar +1 more source
Influence of surfactant, particle size and dispersion medium on surface plasmon resonance of silver nanoparticles [PDF]
Journal of Physics: Condensed Matter, 2019 Clear influence of particle size, surfactants and dispersion medium on surface plasmon resonance (SPR) features of Ag nanoparticles (NPs), synthesized in thermal decomposition method, in the broad range of ultraviolet (UV) radiation, critical for many ...
Vikas Sharma, Divya Verma, G. Okram
semanticscholar +1 more source