Towards virtual access of adaptive optics telemetry data

Autor: Tiago Gomes, Carlos M. Correia, Lisa Bardou, Olivier Beltramo-Martin, Thierry Fusco, Caroline Kulcsár, Timothy J. Morris, Nuno Morujão, Benoît Neichel, James Osborn, Paulo Garcia
Přispěvatelé: Universidade do Porto = University of Porto, Space ODT - Optical Deblurring Technologies, Durham University, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut d'Optique Graduate School (IOGS)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: SPIE 2022
SPIE Astronomical Instrumentation
SPIE Astronomical Instrumentation, Jul 2022, Montreal, Canada. ⟨10.1117/12.2630214⟩
DOI: 10.1117/12.2630214⟩
Popis: Large amounts of Adaptive-Optics (AO) control loop data and telemetry are currently inaccessible to end-users. Broadening access to those data has the potential to change the AO landscape on many fronts, addressing several use-cases such as derivation of the system's PSF, turbulence characterisation and optimisation of system control. We address one of the biggest obstacles to sharing these data: the lack of standardisation, which hinders access. We propose an object-oriented Python package for AO telemetry, whose data model abstracts the user from an underlining archive-ready data exchange standard based on the Flexible Image Transport System (FITS). Its design supports data from a wide range of existing and future AO systems, either in raw format or abstracted from actual instrument details. We exemplify its usage with data from active AO systems on 10m-class observatories, of which two are currently supported (AOF and Keck), with plans for more.
Databáze: OpenAIRE