Linking the high-contrast performance with AO internal data and environmental parameters. Lessons learnt from the High Contrast Data Center and perspectives for the ELT - 2023
Paper published in a book (Scientific congresses and symposiums)
Linking the high-contrast performance with AO internal data and environmental parameters. Lessons learnt from the High Contrast Data Center and perspectives for the ELT
[en] Adaptive Optics internal data include some information about environmental turbulence conditions and the actual wavefront incoming into the science detector. The High Contrast Data Center (HC-DC, previously named SPHERE Data Center) collects all SPHERE data (science detector images and time-stamped AO RTC data statistics) and provides science-ready data products to the community. This is an opportunity to address the question of the relationship between AO internal data and the final high contrast performance. A first application is the interest of a refined prediction of the final high contrast performance as a function of turbulence conditions and AO quality, in order to better prepare the scientific programs, to improve a high-contrast ETC and to optimize observation scheduling. A second application is the use of AO data statistics in order to support and to guide the a posteriori data processing, in particular in the context of large data libraries, as used for reference star differential imaging. A third question is the potential use of extensive AO data telemetry in order to enhance a detailed characterization of the speckle field. This latter goal would also impact the AO archival approach and would raise some additional questions about the optimal data compression. After the current work on the SPHERE data, the center intends to include in the future additional high-contrast data, and in particular from ELT high-contrast (spectro-)imaging modes.
Research Center/Unit :
STAR - Space sciences, Technologies and Astrophysics Research - ULiège
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Mouillet, David; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Meunier, Nadège; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Delorme, Philippe; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Milli, Julien; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Lagadec, Eric; Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Lagrange, France
Albert, Damien; Univ. Grenoble Alpes, CNRS, OSUG, Grenoble, France
Bergeon, Stephane; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Absil, Olivier ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO)
Choquet, Elodie; Aix Marseille Université, CNRS, CNES, LAM, Marseille, France
Bissot, Ludo ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR)
Courtney-Barrer, Benjamin; European Southern Observatory, Santiago, Chile ; The Australian National University, Canberra, Australia
Romero, Cristian; European Southern Observatory, Santiago, Chile
Cantalloube, Faustine; Aix Marseille Université, CNRS, CNES, LAM, Marseille, France
Bonse, Markus; ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland
Carlotti, Alexis; Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France
Samland, Matthias; Max Planck Institute for Astronomy, Heidelberg, Germany
Guyon, Olivier; Steward Observatory, University of Arizona, Tucson, United States ; Subaru Telescope, NAOJ, United States ; College of Optical Sciences, University of Arizona, Tucson, United States ; Astrobiology Center, Tokyo, Japan
Linking the high-contrast performance with AO internal data and environmental parameters. Lessons learnt from the High Contrast Data Center and perspectives for the ELT
Publication date :
June 2023
Event name :
Adaptive Optics for Extremely Large Telescopes 7th Edition
Event place :
Avignon, France
Event date :
25 - 30 June 2023
Main work title :
Adaptive Optics for Extremely Large Telescopes 7th Edition
This work has made use of the High-Contrast Data Centre, jointly operated by OSUG/IPAG (Grenoble), PYTHEAS/LAM/CeSAM (Marseille), OCA/Lagrange (Nice), Observatoire de Paris/LESIA (Paris), and Observatoire de Lyon (OSUL/CRAL). This project has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme, grant agreement No. 866001 (EXACT). This work was supported by the Action Sp\u00E9cifique Haute R\u00E9solution Angulaire (ASHRA) of CNRS/INSU co-funded by CNES. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (COBREX; grant agreement n\u00B0 885593).