Partial Wave Analysis using Graphics Cards

TL;DR

This paper demonstrates how graphics processing units can significantly accelerate partial wave analysis in hadron spectroscopy, enabling faster computations and more efficient exploration of complex physics models.

Contribution

It introduces parallel computing frameworks utilizing GPUs for partial wave analysis, achieving over two orders of magnitude speedup and facilitating easier programming and analysis.

Findings

Speed improvements of over 100x compared to legacy code

Frameworks developed for BES III, Compass, and GlueX experiments

Enhanced ability to handle complex physics models

Abstract

Partial wave analysis is a key technique in hadron spectroscopy. The use of unbinned likelihood fits on large statistics data samples and ever more complex physics models makes this analysis technique computationally very expensive. Parallel computing techniques, in particular the use of graphics processing units, are a powerful means to speed up analyses; in the contexts of the BES III, Compass and GlueX experiments, parallel analysis frameworks have been created. They provide both fits that are faster by more than two orders of magnitude than legacy code and environments to quickly program and run an analysis. This in turn allows the physicists to focus on the many difficult open problems pertaining to partial wave analysis.