30 citations · 55 across the 3 of their papers we have counts for
3 papers
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…
GooFit 2.0
Henry Schreiner, Christoph Hasse, Bradley Hittle +3
The GooFit package provides physicists a simple, familiar syntax for manipulating probability density functions and performing fits, and is highly optimized for data analysis on NV…
GooFit: A library for massively parallelising maximum-likelihood fits
R. Andreassen, B. T. Meadows, M. de Silva +2
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 functi…