Goodness of fit by Neyman-Pearson testing

arXiv:2305.14137v2 Announce Type: replace-cross
Abstract: The Neyman-Pearson strategy for hypothesis testing can be employed for goodness of fit if the alternative hypothesis is selected from data by exploring a rich parametrised family of models, while controlling the impact of statistical fluctuations. The New Physics Learning Machine (NPLM) methodology has been developed as a concrete implementation of this idea, to target the detection of new physical effects in the context of high energy physics collider experiments. In this paper we conduct …

abstract arxiv concrete data family hep-ph hypothesis impact machine methodology pearson physics statistical stat.ml strategy testing type