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May 28, 2024 to June 1, 2024
William & Mary School of Business
US/Eastern timezone
The timetable is out: 30 min slots are (20 + 10) min, 45 min slots are (35 + 10) min

Towards machine learning the hadron spectrum

May 31, 2024, 2:00 PM
45m
Brinkley Commons Room (William & Mary School of Business)

Brinkley Commons Room

William & Mary School of Business

101 Ukrop Way, Williamsburg, VA 23185, USA
Advanced tools and methods for partial-wave and amplitude analyses Session

Speaker

Cesar Fernandez-Ramirez (UNED)

Description

Machine learning offers many tools that can be exploited to understand physics. In this talk I will present how neural networks can help understanding the hadron spectrum, its properties and the underlying dynamics that leads to the formation of resonances.

Primary author

Presentation materials