首页|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)
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)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
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.”
MarseilleFranceEuropeCyborgsEmer ging TechnologiesMachine LearningAix-Marseille University