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

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 \(D^+ \to h^+h^+h^-\). A full amplitude analysis is done where the magnitudes and phases of the S-wave amplitudes are...

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Bibliographic Details
Published in:arXiv.org 2017-02
Main Authors: Sun, Liang, Aoude, Rafael, Alberto Correa Dos Reis, Sokoloff, Michael David
Format: Article
Language:English
Subjects:
Algorithms
Amplitudes
Online Access:Get full text
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Summary: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 \(D^+ \to h^+h^+h^-\). A full amplitude analysis is done where the magnitudes and phases of the S-wave amplitudes are anchored at a finite number of \(m^2(h^+h^-)\) 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.
ISSN:2331-8422
DOI:10.48550/arxiv.1703.03284