Results 41 to 50 of about 11,439 (158)
Mixed modulus and anomaly mediation in light of the muon g − 2 anomaly
Journal of High Energy Physics, 2021 The new measurement of the anomalous magnetic moment of muon at the Fermilab Muon g − 2 experiment has strengthened the significance of the discrepancy between the standard model prediction and the experimental observation from the BNL measurement.
Kwang Sik Jeong +2 more
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Enhancing anomaly detection with topology-aware autoencoders
Machine Learning: Science and TechnologyAnomaly detection in high-energy physics is essential for identifying new physics beyond the Standard Model. Autoencoders provide a signal-agnostic approach but are limited by the topology of their latent space.
Vishal S Ngairangbam +3 more
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GAN-AE: an anomaly detection algorithm for New Physics search in LHC data
European Physical Journal C: Particles and Fields, 2023 In recent years, interest has grown in alternative strategies for the search for New Physics beyond the Standard Model. One envisaged solution lies in the development of anomaly detection algorithms based on unsupervised machine learning techniques.
Louis Vaslin +2 more
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Example of a Quantum Anomaly in the Physics of Ultracold Gases [PDF]
Physical Review Letters, 2010 Misprints corrected, a discussion on damping added, text is polished and shortened.
Olshanii, Maxim +2 more
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Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider
ComputersWe propose a novel approach to real-time anomaly detection at the Large Hadron Collider, aimed at enhancing the discovery potential for new fundamental phenomena in particle physics.
Thomas Dartnall Stern +2 more
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Minor physical anomalies and vulnerability in prodromal youth [PDF]
Schizophrenia Research, 2011 Because both the brain and craniofacial/limb features originate from the same germinal layer during early gestation, the postnatal presence of minor physical anomalies (MPAs) involving these physical features may be indicative of defects in prenatal neural migration and consequent brain abnormalities among individuals with psychosis.
Vijay A, Mittal, Elaine F, Walker
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Anomaly detection in the presence of irrelevant features
Journal of High Energy PhysicsExperiments at particle colliders are the primary source of insight into physics at microscopic scales. Searches at these facilities often rely on optimization of analyses targeting specific models of new physics. Increasingly, however, data-driven model-
Marat Freytsis +2 more
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Adversarially-trained autoencoders for robust unsupervised new physics searches
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
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High-dimensional and permutation invariant anomaly detection
SciPost PhysicsMethods for anomaly detection of new physics processes are often limited to low-dimensional spaces due to the difficulty of learning high-dimensional probability densities. Particularly at the constituent level, incorporating desirable properties such as
Vinicius Mikuni, Benjamin Nachman
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Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection [PDF]
EPJ Web of ConferencesThis work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector.
Grosso Gaia +6 more
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