Multivariate Discrimination in Quantum Target Detection
Abstract
We describe a simple multivariate technique of likelihood ratios for improved discrimination of signal and background in multi-dimensional quantum target detection. The technique combines two independent variables, time difference and summed energy, of a photon pair from the spontaneous parametric down-conversion source into an optimal discriminant. The discriminant performance was studied in experimental data and in Monte-Carlo modelling with clear improvement shown compared to previous techniques. As novel detectors become available, we expect this type of multivariate analysis to become increasingly important in multi-dimensional quantum optics.
Cite
@article{arxiv.2005.00612,
title = {Multivariate Discrimination in Quantum Target Detection},
author = {Peter Svihra and Yingwen Zhang and Paul Hockett and Steven Ferrante and Benjamin Sussman and Duncan England and Andrei Nomerotski},
journal= {arXiv preprint arXiv:2005.00612},
year = {2020}
}
Comments
The following article has been published by Applied Physics Letters. It can be found at https://aip.scitation.org/doi/10.1063/5.0012429