Results 41 to 50 of about 1,452,791 (344)

Long-Lived Particles Anomaly Detection with Parametrized Quantum Circuits

Particles, 2023
We investigate the possibility to apply quantum machine learning techniques for data analysis, with particular regard to an interesting use-case in high-energy physics.
Simone Bordoni, Denis Stanev, Tommaso Santantonio, Stefano Giagu   +3 more
doaj   +1 more source

The interplay of machine learning-based resonant anomaly detection methods [PDF]

The European Physical Journal C, 2023
Machine learning-based anomaly detection (AD) methods are promising tools for extending the coverage of searches for physics beyond the Standard Model (BSM).
T. Golling, G. Kasieczka, C. Krause, R. Mastandrea, B. Nachman, J. Raine, Debasish Sengupta, D. Shih, M. Sommerhalder   +8 more
semanticscholar   +1 more source

New Physics Agnostic Selections For New Physics Searches [PDF]

EPJ Web of Conferences, 2020
We discuss a model-independent strategy for boosting new physics searches with the help of an unsupervised anomaly detection algorithm. Prior to a search, each input event is preprocessed by the algorithm - a variational autoencoder (VAE).
Woźniak Kinga Anna, Cerri Olmo, Duarte Javier M., Möller Torsten, Ngadiuba Jennifer, Nguyen Thong Q., Pierini Maurizio, Spiropulu Maria, Vlimant Jean-Roch   +8 more
doaj   +1 more source

Full phase space resonant anomaly detection [PDF]

Physical Review D, 2023
Physics beyond the Standard Model that is resonant in one or more dimensions has been a longstanding focus of countless searches at colliders and beyond.
E. Buhmann, Cedric Ewen, G. Kasieczka, V. Mikuni, Benjamin Nachman, David Shih   +5 more
semanticscholar   +1 more source

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

SciPost Physics, 2022
We describe the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders.
T. Aarrestad, M. van Beekveld, M. Bona, A. Boveia, S. Caron, J. Davies, A. De Simone, C. Doglioni, J. M. Duarte, A. Farbin, H. Gupta, L. Hendriks, L. Heinrich, J. Howarth, P. Jawahar, A. Jueid, J. Lastow, A. Leinweber, J. Mamuzic, E. Merényi, A. Morandini, P. Moskvitina, C. Nellist, J. Ngadiuba, B. Ostdiek, M. Pierini, B. Ravina, R. Ruiz de Austri, S. Sekmen, M. Touranakou, M. Vaškevičiūte, R. Vilalta, J. R. Vlimant, R. Verheyen, M. White, E. Wulff, E. Wallin, K. A. Wozniak, Z. Zhang
doaj   +1 more source

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 have found no significant evidence for BSM physics.
J. Collins, K. Howe, B. Nachman
semanticscholar   +1 more source

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey

IEEE Access
The integration of advanced communication systems and distributed resources has transformed power systems, enhancing control and efficiency in the Smart Grid.
G. Gaggero, Paola Girdinio, Mario Marchese   +2 more
semanticscholar   +1 more source

Addendum to “Impact of polarization observables and Bc→τν on new physics explanations of the b→cτν anomaly” [PDF]

Physical Review D, 2019
In this addendum to arXiv:1811.09603 we update our results including the recent measurement of ${\cal R}(D)$ and ${\cal R}(D^*)$ by the Belle collaboration: ${\cal R}(D)_{\rm Belle} = 0.307\pm0.037\pm0.016$ and ${\cal R}(D^*)_{\rm Belle}=0.283\pm0.018 ...
M. Blanke, A. Crivellin, T. Kitahara, Marta Moscati, U. Nierste, Ivan Nivsandvzi'c   +5 more
semanticscholar   +1 more source

New Physics beyond the 750 GeV diphotons events

EPJ Web of Conferences, 2016
the 750 GeV diphoton anomaly observed by ATLAS and CMS collaborations in 2015, and the models suggested by theorists to explain it. The talk has been presented in the special session devoted to this anomaly and possible (new) physics behind it. Since all
Gorbunov Dmitry
doaj   +1 more source

Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security

IET Smart Grid, 2019
This study presents a hybrid data-driven physics model-based framework for real-time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, it's real-time monitoring becomes more vulnerable to cyber-attacks like ...
Cody Ruben, Surya Dhulipala, Surya Dhulipala, Keerthiraj Nagaraj, Sheng Zou, Sheng Zou, Allen Starke, Arturo Bretas, Alina Zare, Janise McNair   +9 more
doaj   +1 more source