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PSF nowcast using PASSATA simulations -- Towards a PSF forecast

Date Issued
2022
Author(s)
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Beltramo-Martin, O.
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Milli, J.
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Sauvage, J. F.
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Neichel, B.
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Fusco, T.
DOI
Abstract
Characterizing the PSF of adaptive optics instruments is of paramount importance both for instrument design and observation planning/optimization. Simulation software, such as PASSATA, have been successfully utilized for PSF characterization in instrument design, which make use of standardized atmospheric turbulence profiles to produce PSFs that represent the typical instrument performance. In this contribution we study the feasibility of using such tool for nowcast application (present-time forecast), such as the characterization of an on-sky measured PSF in real observations. Specifically we will analyze the performance of the simulation software in characterizing the real-time PSF of two different state-of-the-art SCAO adaptive optics instruments: SOUL at the LBT, and SAXO at the VLT. The study will make use of on-sky measurements of the atmospheric turbulence and compare the results of the simulations to the measured PSF figures of merit (namely the FHWM and the Strehl Ratio) retrieved from the instrument telemetry in real observations. Our main goal in this phase is to quantify the level of uncertainly of the AO simulations in reproducing real on-sky observed PSFs with an end-to-end code (PASSATA). In a successive phase we intend to use a faster analytical code (TIPTOP). This work is part of a wider study which aims to use simulation tools joint to atmospheric turbulence forecasts performed nightly to forecast in advance the PSF and support science operations of ground-based telescopes facilities. The 'PSF forecast' option might therefore be added to ALTA Center or the operational forecast system that will be implemented soon at ESO.
Coverage
Adaptive Optics Systems VIII
All editors
Schreiber, Laura; Schmidt, Dirk; Vernet, Elise
Series
Volume
12185
Start page
223
Conferenece
Adaptive Optics Systems VIII
Conferenece place
Montréal, Québec, Canada
Conferenece date
17-23 July, 2022
Uri
Url
Issn Identifier
0277-786X
Rights
open.access
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