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Efficient line shape estimation by ghost spectroscopy

Authors :
Gianani, Ilaria
Sánchez-Soto, Luis L.
Goldberg, Aaron Z.
Barbieri, Marco
Publication Year :
2023
Publisher :
Optica Publishing Group, 2023.

Abstract

Recovering the original spectral line shapes from data obtained by instruments with extended transmission profiles is a basic tenet in spectroscopy. By using the moments of the measured lines as basic variables, we turn the problem into a linear inversion. However, when only a finite number of these moments are relevant, the rest of them act as nuisance parameters. These can be taken into account with a semiparametric model, which allows us to establish the ultimate bounds on the precision attainable in the estimation of the moments of interest. We experimentally confirm these limits with a simple ghost spectroscopy demonstration.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....c391d74e1fe5028d961f63415a365b89