Robotics & Machine Learning Daily News2024,Issue(MAY.1) :52-60.

Researchers from Aix-Marseille University Report Findings in Machine Learning (S earch for New Phenomena In Two-body Invariant Mass Distributions Using Unsupervi sed Machine Learning for Anomaly Detection At P S=13 Tev Ffi With the Atlas Dete ctor)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :52-60.

Researchers from Aix-Marseille University Report Findings in Machine Learning (S earch for New Phenomena In Two-body Invariant Mass Distributions Using Unsupervi sed Machine Learning for Anomaly Detection At P S=13 Tev Ffi With the Atlas Dete ctor)

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Abstract

The news reporters obtained a quote from the research from Aix-Marseille Univers ity, “The approachinvolves training an autoencoder on data, and subsequently de fining anomalous regions based on thereconstruction loss of the decoder. Studie s focus on nine invariant mass spectra that contain pairs ofobjects consisting of one light jet or b jet and either one lepton (e; mu), photon, or second light jet or bjet in the anomalous regions. No significant deviations from the backg round hypotheses are observed.”

Key words

Marseille/France/Europe/Cyborgs/Emer ging Technologies/Machine Learning/Aix-Marseille University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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