Speaker
Description
We present PROfit, a new open-source C++ framework designed for efficient and robust estimation of neutrino oscillation parameters, systematic uncertainties, and beyond-the-Standard-Model (BSM) physics, with particular emphasis on reliable global optimization in high-dimensional parameter spaces and rigorous treatment of systematics. Initially developed for the Short-Baseline Neutrino (SBN) programme, PROfit is seeing extensive use at ICARUS, SBND, MicroBooNE, DUNE, and beyond.
Through its novel combined approach of nuisance-parameter splines and covariance matrices, the construction of robust Feldman–Cousins confidence intervals can be achieved in an extremely timely manner. Key systematics for a given analysis are treated as continuous nuisance-parameter splines, while smaller, Gaussian-like systematics are handled as computationally simpler covariance matrices, enabling efficient treatment of 1000’s of systematics. PROfit streamlines the process of end-to-end sensitivity estimation, fake data studies, brazil-band analysis and frequentist interval construction.
PROfit is designed to be fully user-configurable at run-time for any number of detectors, beam running modes, search channels, sidebands, and physics models. Default physics models include a range of short-baseline sterile neutrino scenarios (such as 3+1, 3+2, and 3+1+decay) and BSM template fits, while inclusion of additional user-defined models has been made straightforward.
This poster will introduce the toolkit, provide detailed usage examples, and discuss CPU-hour scaling behaviour as the number of physics parameters, bins, and systematic complexity are expanded. We will also discuss ongoing efforts to enable direct side-by-side Bayesian and Feldman–Cousins intervals by default, as well as integration into standard HEP workflows and widespread HPC facilities.