English

Model-independent partial wave analysis using a massively-parallel fitting framework

Data Analysis, Statistics and Probability 2017-12-06 v1 High Energy Physics - Experiment

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 D+h+h+hD^+ \to h^+h^+h^-. A full amplitude analysis is done where the magnitudes and phases of the S-wave amplitudes are anchored at a finite number of m2(h+h)m^2(h^+h^-) 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

R2 v1 2026-06-22T18:41:04.927Z