10-14 October 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

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

10 Oct 2016, 11:00
15m
Sierra A (San Francisco Mariott Marquis)

Sierra A

San Francisco Mariott Marquis

Oral Track 5: Software Development Track 5: Software Development

Speaker

Liang Sun (Wuhan University (CN))

Description

Based on GooFit, a GPU-friendly framework for doing maximum-likelihood fits, we have developed a tool for extracting model-independent S-wave amplitudes from three-body decays such as D+ --> h(')-,h+,h+. A full amplitude analysis is done where the magnitudes and phases of the S-wave amplitudes (or alternatively, the real and imaginary components), are anchored at a finite number of m^2(h(')-,h+), and a cubic spline is used to interpolate between these points. The amplitudes for P-wave and D-wave resonant states are modeled as spin-dependent Breit-Wigners. GooFit uses the Thrust library to launch all kernels, with a CUDA back-end for nVidia GPUs and an OpenMP back-end for compute nodes with conventional CPUs. Performance on a variety of these platforms is compared. Execution time on systems with GPUs is a few hundred times faster than running the same algorithm on a single CPU.

Primary Keyword (Mandatory) Analysis tools and techniques
Secondary Keyword (Optional) Parallelizarion
Tertiary Keyword (Optional) High performance computing

Primary author

Liang Sun (Wuhan University (CN))

Co-authors

Alberto Correa Dos Reis (CBPF - Centro Brasileiro de Pesquisas Fisicas (CBPF)) Michael David Sokoloff (University of Cincinnati (US)) Rafael Aoude (CBPF - Centro Brasileiro de Pesquisas Fisicas (BR))

Presentation Materials