Speaker
Description
Partial wave analysis (PWA) is often performed in one of two regimes: either the data is kinematically binned to remove assumptions about the dynamics, or parameterized models like Breit-Wigner functions are used to encode physical dynamics. The ability to bridge these regimes can provide additional flexibility in describing the underlying physics.
NIFTy[1], a probabilistic programming framework developed for astrophysics, has recently been adapted to be used for PWA at COMPASS[2]. A non-parametric model, described as a correlated field, is used to characterize kinematically smooth complex binned amplitudes. Parametric models can also be mixed in. This technique is being explored for the analysis of the GlueX polarized photoproduction data. Preliminary studies will be shown along with a highlight on the future direction.
References
[1] G. Edenhofer, P. Frank, J. Roth, R. H. Leike, M. Guerdi, L. I. Scheel-Platz,
M. Guardiani, V. Eberle, M. Westerkamp, and T. A. Enßlin. Re-Envisioning
Numerical Information Field Theory (NIFTy.re): A Library for Gaussian
Processes and Variational Inference, 2024.
[2] F. M. Kaspar, J. Beckers, and J. Knollm ̈uller. Progress in the Partial-Wave
Analysis Methods at COMPASS. EPJ Web Conf., 291:02014, 2024.
