2013
DOI: 10.1364/ao.52.003910
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Approximation of normalized point source sensitivity using power spectral density and slopes of wavefront aberration

Abstract: We have investigated two approximation methods for estimating the normalized point source sensitivity (PSSN), which is a recently developed optical performance metric for telescopes. One is an approximation based on the power spectral density (PSD) of the wavefront error. The other is the root-square-sum of the wavefront slope. We call these approximations β approximation and SlopeRMS approximation, respectively. Our analysis shows that for the Thirty Meter Telescope (TMT), the uncertainty of the β approximati… Show more

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Cited by 3 publications
(3 citation statements)
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“…One might regard this as a somewhat complicated process of estimating a PSSN since there are simpler approximate methods such as β approximation and Slope RMS approximation [8]. However, we find that none of these approximation methods is applicable for the complex M1 system.…”
Section: Introductionmentioning
confidence: 88%
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“…One might regard this as a somewhat complicated process of estimating a PSSN since there are simpler approximate methods such as β approximation and Slope RMS approximation [8]. However, we find that none of these approximation methods is applicable for the complex M1 system.…”
Section: Introductionmentioning
confidence: 88%
“…With the computed PSD, one can use the β approximation [8] to estimate its PSSN. The β approximation is a PSSN approximation using the PSD and the β function, which is the spatial frequency-dependent sensitivity to PSSN.…”
Section: B High-order Residual Errormentioning
confidence: 99%
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