Pushing point-spread function reconstruction to the next level: application to SPHERE/ZIMPOL - ONERA - Office national d'études et de recherches aérospatiales Accéder directement au contenu
Article Dans Une Revue Monthly Notices of the Royal Astronomical Society Année : 2020

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

Résumé

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.
Fichier principal
Vignette du fichier
2001.10267.pdf (3.75 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02997209 , version 1 (10-11-2020)

Identifiants

Citer

O. Beltramo-Martin, A. Marasco, Thierry Fusco, D. Massari, Julien Milli, et al.. Pushing point-spread function reconstruction to the next level: application to SPHERE/ZIMPOL. Monthly Notices of the Royal Astronomical Society, 2020, 494 (1), pp.775-788. ⟨10.1093/mnras/staa525⟩. ⟨hal-02997209⟩
38 Consultations
29 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More