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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

Truncated partial-wave analysis using Bayesian statistics

May 31, 2024, 11:45 AM
30m
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

Yannick Wunderlich (University of Bonn)

Description

The talk will cover the application of the Bayesian parameter-inference method to a truncated partial-wave analysis in pseudoscalar meson photoproduction. As an example, a dataset from the photoproduction of eta mesons is examined. The basics of the method as well as its possible limitations will be discussed.

Author

Yannick Wunderlich (University of Bonn)

Co-authors

Annika Thiel (HISKP, Uni Bonn) Farah Afzal Mr Philipp Kroenert (University of Bonn)

Presentation materials