Download | - View supplementary information: Efficient line shape estimation by ghost spectroscopy (PDF, 323 KiB)
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DOI | Resolve DOI: https://doi.org/10.1364/OL.485451 |
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Author | Search for: Gianani, IlariaORCID identifier: https://orcid.org/0000-0002-0674-767X; Search for: Sánchez-Soto, Luis L.ORCID identifier: https://orcid.org/0000-0002-7441-8632; Search for: Goldberg, Aaron Z.1ORCID identifier: https://orcid.org/0000-0002-3301-7672; Search for: Barbieri, MarcoORCID identifier: https://orcid.org/0000-0003-2057-9104 |
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Affiliation | - National Research Council of Canada. Security and Disruptive Technologies
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Funder | Search for: National Research Council Canada; Search for: Natural Sciences and Engineering Research Council of Canada; Search for: Ministerio de Ciencia e Innovación; Search for: H2020 Future and Emerging Technologies |
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Format | Text, Article |
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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. |
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Publication date | 2023-06-13 |
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Publisher | Optica Publishing Group |
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Supplemented by | |
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Language | English |
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Peer reviewed | Yes |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 1f23362e-d3ef-4dac-9604-06c528fab196 |
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Record created | 2023-06-16 |
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Record modified | 2023-06-19 |
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