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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.

Primary author

Yannick Wunderlich (University of Bonn)

Co-authors

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

Presentation materials