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

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

Liang Sun
(
- Wuhan U.
)
,
R.Tourinho Aoude
(
- Rio de Janeiro, CBPF
)
,
Alberto Correa dos Reis
(
- Rio de Janeiro, CBPF
)
,
Michael David Sokoloff
(
- Cincinnati U. and
- UC, Berkeley
)

Feb 19, 2017

5 pages

Part of Proceedings, 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP2016) : San Francisco, CA, October 14-16, 2016

Published in:

J.Phys.Conf.Ser. 898 (2017) 7, 072025

Contribution to:

- CHEP 2016

Published: Nov 20, 2017

e-Print:

1703.03284 [physics.data-an]

DOI:

10.1088/1742-6596/898/7/072025

View in:

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Abstract: (IOP)

The functionality of GooFit, a GPU-friendly framework for doing maximum-likelihood fits, has been extended to extract model-independent -wave amplitudes in three-body decays such as D + → h + h + h −. A full amplitude analysis is done where the magnitudes and phases of the -wave amplitudes are anchored at a finite number of m 2(h + h −) control points, and a cubic spline is used to interpolate between these points. The amplitudes for -wave and -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.

Note:

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

resonance: Breit-Wigner
partial wave analysis
amplitude analysis
performance
statistical analysis
numerical methods
numerical calculations
multiprocessor: graphics
three-body problem
programming

References(9)

Figures(3)

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