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Higgs physics confronts the MW anomaly [PDF]
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
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Quantum anomaly detection for collider physics [PDF]
Journal of High Energy Physics, 2023 We explore the use of Quantum Machine Learning (QML) for anomaly detection at the Large Hadron Collider (LHC). In particular, we explore a semi-supervised approach in the four-lepton final state where simulations are reliable enough for a direct ...
Sulaiman Alvi +2 more
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Rare and Different: Anomaly Scores from a combination of likelihood and out-of-distribution models to detect new physics at the LHC [PDF]
SciPost Physics, 2022 We propose a new method to define anomaly scores and apply this to particle physics collider events. Anomalies can be either rare, meaning that these events are a minority in the normal dataset, or different, meaning they have values that are not ...
Sascha Caron, Luc Hendriks, Rob Verheyen
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New Physics Suggested by Atomki Anomaly [PDF]
Frontiers in Physics, 2019 We consider several extensions of the Standard Model (SM) which can explain the anomalies observed by the Atomki collaboration in the decay of excited states of Beryllium via a new boson with a mass around 17 MeV yielding e+e− pairs.
Luigi Delle Rose +6 more
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Autoencoders for unsupervised anomaly detection in high energy physics [PDF]
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
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Unravelling physics beyond the standard model with classical and quantum anomaly detection [PDF]
Machine Learning: Science and Technology, 2023 Much hope for finding new physics phenomena at microscopic scale relies on the observations obtained from High Energy Physics experiments, like the ones performed at the Large Hadron Collider (LHC).
Julian Schuhmacher +9 more
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Finding new physics without learning about it: anomaly detection as a tool for searches at colliders [PDF]
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
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Gender differences in grades versus grade penalties: Are grade anomalies more detrimental for female physics majors? [PDF]
Physical Review Physics Education Research, 2022 Creating equitable learning environments has been an area of significant focus for physics education researchers in recent years. Here we introduce a framework that posits that grade penalty is a measure of academic self-concept and investigate if there ...
Alysa Malespina, Chandralekha Singh
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Challenges for unsupervised anomaly detection in particle physics [PDF]
Journal of High Energy Physics, 2022 Anomaly detection relies on designing a score to determine whether a particular event is uncharacteristic of a given background distribution. One way to define a score is to use autoencoders, which rely on the ability to reconstruct certain types of data
Katherine Fraser +4 more
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INSTANTONS AND CHIRAL ANOMALY IN FUZZY PHYSICS [PDF]
International Journal of Modern Physics A, 2001 In continuum physics, there are important topological aspects like instantons, θ-terms and the axial anomaly. Conventional lattice discretizations often have difficulties in treating one or the other of these aspects. In this paper, we develop discrete quantum field theories on fuzzy manifolds using noncommutative geometry.
A. P. BALACHANDRAN, S. VAIDYA
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