Machine learning in the search for new fundamental physics
Compelling experimental evidence suggests the existence of new physics beyond the well-
established and tested standard model of particle physics. Various current and upcoming …
established and tested standard model of particle physics. Various current and upcoming …
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
G Kasieczka, B Nachman, D Shih… - Reports on progress …, 2021 - iopscience.iop.org
A new paradigm for data-driven, model-agnostic new physics searches at colliders is
emerging, and aims to leverage recent breakthroughs in anomaly detection and machine …
emerging, and aims to leverage recent breakthroughs in anomaly detection and machine …
Robust independent validation of experiment and theory: Rivet version 3
First released in 2010, the Rivet library forms an important repository for analysis code,
facilitating comparisons between measurements of the final state in particle collisions and …
facilitating comparisons between measurements of the final state in particle collisions and …
Jet tagging via particle clouds
H Qu, L Gouskos - Physical Review D, 2020 - APS
How to represent a jet is at the core of machine learning on jet physics. Inspired by the
notion of point clouds, we propose a new approach that considers a jet as an unordered set …
notion of point clouds, we propose a new approach that considers a jet as an unordered set …
Particle transformer for jet tagging
Jet tagging is a critical yet challenging classification task in particle physics. While deep
learning has transformed jet tagging and significantly improved performance, the lack of a …
learning has transformed jet tagging and significantly improved performance, the lack of a …
Jet substructure at the Large Hadron Collider: a review of recent advances in theory and machine learning
AJ Larkoski, I Moult, B Nachman - Physics Reports, 2020 - Elsevier
Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC),
where it has provided numerous innovative new ways to search for new physics and to …
where it has provided numerous innovative new ways to search for new physics and to …
Collider physics at the precision frontier
G Heinrich - Physics Reports, 2021 - Elsevier
The precision frontier in collider physics is being pushed at impressive speed, from both the
experimental and the theoretical side. The aim of this review is to give an overview of recent …
experimental and the theoretical side. The aim of this review is to give an overview of recent …
Search for Higgs boson decay to a charm quark-antiquark pair in proton-proton collisions at = 13 TeV
CMS collaboration - arXiv preprint arXiv:2205.05550, 2022 - arxiv.org
A search for the standard model Higgs boson decaying to a charm quark-antiquark pair, H
$\to\mathrm {c\bar {c}} $, produced in association with a leptonically decaying V (W or Z) …
$\to\mathrm {c\bar {c}} $, produced in association with a leptonically decaying V (W or Z) …
Autoencoders for unsupervised anomaly detection in high energy physics
T Finke, M Krämer, A Morandini, A Mück… - Journal of High Energy …, 2021 - Springer
A bstract Autoencoders are widely used in machine learning applications, in particular for
anomaly detection. Hence, they have been introduced in high energy physics as a …
anomaly detection. Hence, they have been introduced in high energy physics as a …
Search for nonresonant pair production of highly energetic Higgs bosons decaying to bottom quarks
CMS collaboration - arXiv preprint arXiv:2205.06667, 2022 - arxiv.org
A search for nonresonant Higgs boson (H) pair production via gluon and vector boson (V)
fusion is performed in the four-bottom-quark final state, using proton-proton collision data at …
fusion is performed in the four-bottom-quark final state, using proton-proton collision data at …