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
Sierra A (San Francisco Mariott Marquis)

Sierra A

San Francisco Mariott Marquis

Oral Track 5: Software Development Track 5: Software Development


Liang Sun (Wuhan University (CN))


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))


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

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