Download | - View final version: Multivariate discrimination in quantum target detection (PDF, 1.7 MiB)
- View supplementary information: Multivariate discrimination in quantum target detection (PDF, 2.8 MiB)
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DOI | Resolve DOI: https://doi.org/10.1063/5.0012429 |
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Author | Search for: Svihra, PeterORCID identifier: https://orcid.org/0000-0002-7811-2147; Search for: Zhang, Yingwen1ORCID identifier: https://orcid.org/0000-0002-7227-4452; Search for: Hockett, Paul1; Search for: Ferrante, Steven; Search for: Sussman, Benjamin1; Search for: England, Duncan1; Search for: Nomerotski, AndreiORCID identifier: https://orcid.org/0000-0001-5444-5345 |
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Affiliation | - National Research Council of Canada. Security and Disruptive Technologies
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Format | Text, Article |
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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 downconversion source into an optimal discriminant. The discriminant performance was studied using experimental data and Monte Carlo modeling 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. |
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Publication date | 2020-07-27 |
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Publisher | AIP |
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In | |
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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 | 90c20f1f-edf9-4073-ae34-3c2c3e70db2b |
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Record created | 2021-06-15 |
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Record modified | 2021-06-15 |
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