Model-independent partial wave analysis using a massively-parallel fitting framework
Abstract
The functionality of GooFit, a GPU-friendly framework for doing maximum-likelihood fits, has been extended to extract model-independent S-wave amplitudes in three-body decays such as . A full amplitude analysis is done where the magnitudes and phases of the S-wave amplitudes are anchored at a finite number of control points, and a cubic spline is used to interpolate between these points. The amplitudes for P-wave and D-wave intermediate states are modeled as spin-dependent Breit-Wigner resonances. GooFit uses the Thrust library, with a CUDA backend for NVIDIA GPUs and an OpenMP backend for threads with conventional CPUs. Performance on a variety of platforms is compared. Executing on systems with GPUs is typically a few hundred times faster than executing the same algorithm on a single CPU.
Keywords
Cite
@article{arxiv.1703.03284,
title = {Model-independent partial wave analysis using a massively-parallel fitting framework},
author = {Liang Sun and Rafael Aoude and Alberto Correa Dos Reis and Michael David Sokoloff},
journal= {arXiv preprint arXiv:1703.03284},
year = {2017}
}
Comments
5 pages, 3 figures, 2 tables, submitted to the proceedings of the 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016