hep-aid is a modular Python library that packages active search, neural network, and MCMC parameter scan methods with a Higgs physics software stack, and its demonstrations show sample efficiency gains on test and BSM examples.
Brein, Adaptive scanning—a proposal how to scan theoretical predictions over a multi-dimensional parameter space efficiently, Computer Physics Communications 170 (1) (2005) 42–48
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hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology
hep-aid is a modular Python library that packages active search, neural network, and MCMC parameter scan methods with a Higgs physics software stack, and its demonstrations show sample efficiency gains on test and BSM examples.