2016
DOI: 10.1117/12.2234362
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Temporal characterization of Zernike decomposition of atmospheric turbulence

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Cited by 6 publications
(6 citation statements)
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“…The Zernike coefficients are created from expanding the Shack-Hartmann slopes into Zernike polynomials. The temporal power spectral density of the Zernike coefficients, as well as the applied DM voltages (commands), were then used to calculate the atmospheric seeing and the pseudo-Strehl numbers (see e.g., Fusco et al, 2004 [37], Snyder et al, 2016 [38]). Figure 5a compares the CIAO calculated seeing with the seeing recorded by the Paranal Astronomical Site Monitor (ASM) at the time of the CIAO observation.…”
Section: Statistical Review Of Three Years Of Ciao Operationmentioning
confidence: 99%
“…The Zernike coefficients are created from expanding the Shack-Hartmann slopes into Zernike polynomials. The temporal power spectral density of the Zernike coefficients, as well as the applied DM voltages (commands), were then used to calculate the atmospheric seeing and the pseudo-Strehl numbers (see e.g., Fusco et al, 2004 [37], Snyder et al, 2016 [38]). Figure 5a compares the CIAO calculated seeing with the seeing recorded by the Paranal Astronomical Site Monitor (ASM) at the time of the CIAO observation.…”
Section: Statistical Review Of Three Years Of Ciao Operationmentioning
confidence: 99%
“…The altitude and Fried parameter r 0 for each layer are taken from median seeing atmospheric measurements at Cerro Pachón. 3 The wind speed for each layer is drawn randomly from a uniform distribution between 0 and the maximum wind speed, which increases with altitude as shown in the table.…”
Section: Simulationsmentioning
confidence: 99%
“…The amount of power at each temporal frequency -called the power spectral density (PSD) -is another way of characterizing turbulence. 3 In particular, we can compare the slopes of the PSDs for data and simulations with the power law slope expected for a Kolmogorov turbulence model. As outlined in Ref 3, we decompose the wavefronts from reconstruction of GPI telemetry and from simulations into Zernike functions, a complete basis set of orthogonal functions describing optical aberrations.…”
Section: Characterizing Turbulence Using Wavefrontsmentioning
confidence: 99%
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“…Together with the temporal power spectral density of the Zernike coefficients and the DM commands, the atmospheric seeing, atmospheric AO coherence time, and pseudo-Strehl numbers were determined (see e.g Fusco et al 2004,36. Snyder et al 201637 ).CIAO performance over 3 years (2017-2019) Galactic center observations with GRAVITY 0estimated Seeing / arcsec (a) CIAO estimated seeing vs recorded Paranal Astronomical Site Monitor (ASM) seeing. CIAO performance over 3 years (2017-2019) Galactic center observations with GRAVITY 0CIAO estimated K-band Strehl number vs CIAO estimated seeing.…”
mentioning
confidence: 99%