Mini-Symposium: AI for Nuclear and Particle Physics
FOCUS · C15 · ID: 1364887
Presentations
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A.I. for particle physics
ORAL · Invited
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Presenters
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David Lawrence
- Jefferson Lab/Jefferson Science Associates
Authors
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David Lawrence
- Jefferson Lab/Jefferson Science Associates
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Machine Learning for New Physics in B → K*l+l− Decays
ORAL
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Presenters
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Shawn B Dubey
- University of Hawaii at Manoa
Authors
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Shawn B Dubey
- University of Hawaii at Manoa
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Thomas E Browder
- University of Hawaii at Manoa
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Sven E Vahsen
- University of Hawaii
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Rahul Sinha
- University of Hawai'i at Manoa, The Institute of Mathematical Sciences (IMSc), Taramani, Chennai
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Saurabh Sandilya
- Indian Institute of Technology Hyderabad (IITH), Telangana
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Alexei Sibidanov
- University of Hawaii Manoa
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Rusa Mandal
- Indian Institute of Technology Gandhinagar, Gujarat
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Shahab Kohani
- University of Hawaii at Manoa
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Machine Learning based Anomaly Detection for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
ORAL
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Presenters
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Kyungmin Park
- Carnegie Mellon University
Authors
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Kyungmin Park
- Carnegie Mellon University
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Abhirami Harilal
- Carnegie Mellon University
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Manfred Paulini
- Carnegie Mellon Univ
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Michael Andrews
- Carnegie Mellon University
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Interpretability Inspires: How explainable AI helps improve Top Tagging
ORAL
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Presenters
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Avik Roy
- University of Illinois at Urbana-Champaign
Authors
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Avik Roy
- University of Illinois at Urbana-Champaign
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Mark S Neubauer
- University of Illinois at Urbana-Champaign
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Ayush Khot
- University of Illinois at Urbana-Champaign
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A machine learning based approach to active magnetic field cancellation
ORAL
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Presenters
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Matthew Morano
- North Carolina State University
Authors
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Matthew Morano
- North Carolina State University
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Machine learning-assisted measurement of azimuthal angular asymmetry of soft gluon radiation in deep-inelastic scattering with the H1 detector
ORAL
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Presenters
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Fernando Torales Acosta
- Lawrence Berkeley National Laboratory
Authors
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Fernando Torales Acosta
- Lawrence Berkeley National Laboratory
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