Simulation model based approach for long exposure atmospheric point spread function reconstruction for laser guide star multiconjugate adaptive optics

Gilles, Luc; Correia, Carlos; Véran, Jean-Pierre; Wang, Lianqi; Ellerbroek, Brent L.

doi:10.1364/ao.51.007443

Cited by 17 publications

(20 citation statements)

References 25 publications

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“…Although PSF-reconstruction algorithms have been in existence for a long time (Véran et al 1997;Gendron, E. et al 2006;Gilles et al 2012;Ragland et al 2016;Beltramo-Martin et al 2019), most of them are too complex to implement and are not robust enough to be used blindly in normal operations. The fact that AO techniques have also evolved rapidly in parallel giving birth to a large number of species (e.g.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of the ground-layer adaptive-optics point spread function for MUSE wide field mode observations

Fusco

Bacon

Kamann

et al. 2020

A&A

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Context. Here we describe a simple, efficient, and most importantly fully operational point-spread-function(PSF)-reconstruction approach for laser-assisted ground layer adaptive optics (GLAO) in the frame of the Multi Unit Spectroscopic Explorer (MUSE) Wide Field Mode. Aims. Based on clear astrophysical requirements derived by the MUSE team and using the functionality of the current ESO Adaptive Optics Facility we aim to develop an operational PSF-reconstruction (PSFR) algorithm and test it both in simulations and using on-sky data.Methods. The PSFR approach is based on a Fourier description of the GLAO correction to which the specific instrumental effects of MUSE Wide Field Mode (pixel size, internal aberrations, etc.) have been added. It was first thoroughly validated with full end-to-end simulations. Sensitivity to the main atmospheric and AO system parameters was analysed and the code was re-optimised to account for the sensitivity found. Finally, the optimised algorithm was tested and commissioned using more than one year of on-sky MUSE data. Results. We demonstrate with an on-sky data analysis that our algorithm meets all the requirements imposed by the MUSE scientists, namely an accuracy better than a few percent on the critical PSF parameters including full width at half maximum and global PSF shape through the kurtosis parameter of a Moffat function. Conclusions. The PSFR algorithm is publicly available and is used routinely to assess the MUSE image quality for each observation. It can be included in any post-processing activity which requires knowledge of the PSF.

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Section: Introductionmentioning

confidence: 99%

Reconstruction of the ground-layer adaptive-optics point spread function for MUSE wide field mode observations

Fusco

Bacon

Kamann

et al. 2020

A&A

View full text Add to dashboard Cite

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“…[14], for the Thirty Meter Telescope (TMT) Narrow Field InfraRed Adaptive Optics System (NFIRAOS) [15], [16]. Sampling periods, signal-to-noise ratio (SNR) and measurement noise equivalent angle (NEA) are listed in Table 3.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…It is seen that closing the LGS loop with science weighting reduces significantly the PS RMS values over the narrow 17 arcsec x 17 arcsec FoV. 30,000 time steps long time histories (PSDs down to 0.027Hz) were obtained using MAOS [18] for the 7-layer Mauna Kea median turbulence profile [14] . Each phase screen was sampled at 1/64m to capture high-spatial frequency errors, and had a 512m width (i.e.…”

Section: Simulation Resultsmentioning

confidence: 99%

Kalman filter design for atmospheric tip/tilt, tip/tilt anisoplanatism and focus filtering on extremely large telescopes

Gilles

Raynaud

Correia³

et al. 2014

SPIE Proceedings

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This paper discusses Kalman filter design to correct for atmospheric tip/tilt, tip/tilt anisoplanatism and focus disturbances in laser guide star multi-conjugate adaptive optics. Model identification, controller design and computation, command oversampling and disturbance rejection are discussed via time domain analysis and control performance evaluation. End-to-end high-fidelity sky-coverage simulations are presented by Wang and co-authors in a companion paper.

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“…Methodology for calculating BAO from WFS measurements is highly spread in the literature (Beltramo-Martin et al 2019;Ragland et al 2018;Jolissaint et al 2015;Gilles et al 2012;Veran et al 1997); practically we used the Vii algorithm proposed by (Gendron et al 2006) where…”

Section: Reconstruction Of Tip-tilt Excluded Modesmentioning

confidence: 99%

Pushing point-spread function reconstruction to the next level: application to SPHERE/ZIMPOL

Beltramo-Martin

Marasco

Fusco

et al. 2020

Monthly Notices of the Royal Astronomical Society

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Point spread function (PSF) reconstruction (PSF-R) is a well established technique to determine reliably and accurately the PSF from Adaptive Optics (AO) control loop data. We have successfully applied this technique to improve the precision on photometry and astrometry to observation of NGC6121 obtained with SPHERE/ZIMPOL as it will be presented in a forthcoming letter. Firstly, we present the methodology we followed to reconstruct the PSF combining pupil-plane and focal-plane measurements using using our PSF-R method PRIME (Beltramo-Martin et al. 2019), with upgrade of both the model and best-fitting steps compared to previous papers. Secondly, we highlight that PRIME allows to maintain the PSF fitting residual below 0.2% over 2 hours of observation and using only 30 s of AO telemetry, which may have important consequences for telemetry storage for PSF-R purpose on future 30-40 m class telescopes. Finally, we deploy PRIME in a more realistic regime using faint stars so as to identify the precision needed on the initial guess parameters to ensure the convergence towards the optimal solution.

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Simulation model based approach for long exposure atmospheric point spread function reconstruction for laser guide star multiconjugate adaptive optics

Cited by 17 publications

References 25 publications

Reconstruction of the ground-layer adaptive-optics point spread function for MUSE wide field mode observations

Reconstruction of the ground-layer adaptive-optics point spread function for MUSE wide field mode observations

Kalman filter design for atmospheric tip/tilt, tip/tilt anisoplanatism and focus filtering on extremely large telescopes

Pushing point-spread function reconstruction to the next level: application to SPHERE/ZIMPOL

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