17059

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

Liang Sun, Rafael Aoude, Alberto Correa Dos Reis, Michael David Sokoloff
School of Physics and Technology, Wuhan University, Wuhan, Hubei Province, 430072 China
arXiv:1703.03284 [physics.data-an], (19 Feb 2017)

@article{sun2017modelindependent,

   title={Model-independent partial wave analysis using a massively-parallel fitting framework},

   author={Sun, Liang and Aoude, Rafael and Reis, Alberto Correa Dos and Sokoloff, Michael David},

   year={2017},

   month={feb},

   archivePrefix={"arXiv"},

   primaryClass={physics.data-an}

}

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.
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