A GPU-accelerated reweighting method speeds up likelihood evaluations for new-physics searches in neutrino-electron scattering by using precomputed spectra and response kernels.
GooFit: A library for massively parallelising maximum-likelihood fits
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abstract
Fitting complicated models to large datasets is a bottleneck of many analyses. We present GooFit, a library and tool for constructing arbitrarily-complex probability density functions (PDFs) to be evaluated on nVidia GPUs or on multicore CPUs using OpenMP. The massive parallelisation of dividing up event calculations between hundreds of processors can achieve speedups of factors 200-300 in real-world problems.
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hep-ex 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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GPU-accelerated spectrum reweighting for new-physics searches in solar neutrino--electron scattering
A GPU-accelerated reweighting method speeds up likelihood evaluations for new-physics searches in neutrino-electron scattering by using precomputed spectra and response kernels.