Results 1 to 10 of about 11,439 (158)
Higgs physics confronts the MW anomaly
Physics Letters B, 2022 The recent high-precision measurement of the W mass by the CDF collaboration is in sharp tension with the Standard Model prediction as obtained by the electroweak fit. If confirmed, this finding can only be explained in terms of new physics effects.
Luca Di Luzio +2 more
doaj +5 more sources
A Qualitative Strategy for Fusion of Physics into Empirical Models for Process Anomaly Detection
Energies, 2022 To facilitate the automated online monitoring of power plants, a systematic and qualitative strategy for anomaly detection is presented. This strategy is essential to provide credible reasoning on why and when an empirical versus hybrid (i.e., physics ...
Ahmad Y. Al Rashdan +9 more
doaj +3 more sources
Finding new physics without learning about it: anomaly detection as a tool for searches at colliders
European Physical Journal C: Particles and Fields, 2021 In this paper we propose a new strategy, based on anomaly detection methods, to search for new physics phenomena at colliders independently of the details of such new events.
M. Crispim Romão +2 more
doaj +2 more sources
Autoencoders for unsupervised anomaly detection in high energy physics
Journal of High Energy Physics, 2021 Autoencoders are widely used in machine learning applications, in particular for anomaly detection. Hence, they have been introduced in high energy physics as a promising tool for model-independent new physics searches.
Thorben Finke +4 more
doaj +2 more sources
Event-Based Anomaly Detection for Searches for New Physics
Universe, 2022 This paper discusses model-agnostic searches for new physics at the Large Hadron Collider using anomaly-detection techniques for the identification of event signatures that deviate from the Standard Model (SM).
Sergei Chekanov, Walter Hopkins
doaj +3 more sources
Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems. [PDF]
Sci RepIndustrial control systems generate complex multivariate time series and detecting anomalies without labelled attacks is still difficult. In this work we propose a physics guided contrastive temporal graph learning framework for anomaly detection and ...
Rajalakshmi M, Velmurugan T.
europepmc +2 more sources
Nuclear Physics B, 2022 Anomaly detection algorithms have been proved to be useful in the search of new physics beyond the Standard Model. However, a prerequisite for using an anomaly detection algorithm is that the signal to be sought is indeed anomalous.
Ji-Chong Yang, Yu-Chen Guo, Li-Hua Cai
doaj +1 more source
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows
Frontiers in Big Data, 2022 We investigate how to improve new physics detection strategies exploiting variational autoencoders and normalizing flows for anomaly detection at the Large Hadron Collider. As a working example, we consider the DarkMachines challenge dataset. We show how
Pratik Jawahar +9 more
doaj +1 more source
Quasi anomalous knowledge: searching for new physics with embedded knowledge
Journal of High Energy Physics, 2021 Discoveries of new phenomena often involve a dedicated search for a hypothetical physics signature. Recently, novel deep learning techniques have emerged for anomaly detection in the absence of a signal prior.
Sang Eon Park +4 more
doaj +1 more source
Interpreting electroweak precision data including the W-mass CDF anomaly
Journal of High Energy Physics, 2022 We perform a global fit of electroweak data, finding that the anomaly in the W mass claimed by the CDF collaboration can be reproduced as a universal new-physics correction to the T parameter or |H † D μ H|2 operator.
Alessandro Strumia
doaj +1 more source