2009
DOI: 10.1364/ao.48.005997
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Analysis of normalized point source sensitivity as a performance metric for large telescopes

Abstract: We investigate a new metric, the normalized point source sensitivity (PSSN), for characterizing the seeing-limited performance of large telescopes. As the PSSN metric is directly related to the photometric error of background limited observations, it represents the efficiency loss in telescope observing time. The PSSN metric properly accounts for the optical consequences of wave front spatial frequency distributions due to different error sources, which differentiates from traditional metrics such as the 80% e… Show more

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Cited by 45 publications
(33 citation statements)
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References 9 publications
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“…The missing budgeting capability of the encircled energy led Seo et al (2009) to propose the normalized point source sensitivity (PSSN) metric. The PSSN for AO characterization is defined as the ratio of the sum of an observed point source image intensity I PSF squared over that of a perfect imaging system working at the diffraction limit:…”
Section: Estimating Performancementioning
confidence: 99%
“…The missing budgeting capability of the encircled energy led Seo et al (2009) to propose the normalized point source sensitivity (PSSN) metric. The PSSN for AO characterization is defined as the ratio of the sum of an observed point source image intensity I PSF squared over that of a perfect imaging system working at the diffraction limit:…”
Section: Estimating Performancementioning
confidence: 99%
“…Therefore, the overall PSSN estimation is based on the multiplicative feature of PSSN [6]. A similar technique can be used for other science metrics.…”
Section: Vendormentioning
confidence: 99%
“…We numerically install this full set of TMT M1 segments in our ray-tracing modeling tool, modeling and analysis for controlled optical systems (MACOS), from which we obtain the simulated wavefront OPD. Then, we compute PSSN using the OPD [6]. We repeat the above processes multiple times (Monte Carlo) to get averaged values of PSSN, PSSN b .…”
Section: A Low-order Errormentioning
confidence: 99%
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