Speaker
Jack Harrison
(IFAE - Barcelona)
Description
With recent advances in NSBI techniques, specifically neural ratio estimation, Beyond the Standard Model searches can now exploit higher dimensional inputs in an unbinned way, boosting their sensitivity for both parameter estimation and new physics searches. The New Physics Learning Machine (NPLM) approach (D’Agnolo et al., 2305.10500) provides a framework to adapt these techniques into an optimally sensitive anomaly detection algorithm. In this talk, I will outline the NPLM approach, focusing on the practical implementation required for analysis, before demonstrating a novel two-sample-test procedure that provides model-dependent parameter estimation.
Author
Jack Harrison
(IFAE - Barcelona)