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http://hdl.handle.net/20.500.12386/31384
Title: | MICADO PSF-reconstruction work package description | Authors: | Simioni, Matteo ARCIDIACONO, CARMELO GRAZIAN, Andrea Clenet Y. Davies R. GULLIEUSZIK, MARCO Verdoes Kleijn G. PEDICHINI, Fernando Wagner R. Ramlau R. Zeilinger W.W. Vidal F. Vulcani, Benedetta RAGAZZONI, Roberto Sevin A. SALASNICH, Bernardo BARUFFOLO, Andrea BUSONI, LORENZO ESPOSITO, Simone Gendron É. PIAZZESI, ROBERTO PORTALURI, ELISA Zanella A. Helin T. Kuncarayakti H. Mattila S. Falomo R. PINNA, Enrico |
Issue Date: | 2020 | Volume: | Adaptive Optics Systems VII | Editors: | Schreiber, Laura; Schmidt, Dirk; Vernet, Elise | Series: | PROCEEDINGS OF SPIE | Number: | 11448 | First Page: | 169 | Abstract: | The point spread function reconstruction (PSF-R) capability is a deliverable of the MICADO@ESO-ELT project. The PSF-R team works on the implementation of the instrument software devoted to reconstruct the point spread function (PSF), independently of the science data, using adaptive optics (AO) telemetry data, both for Single Conjugate (SCAO) and Multi-Conjugate Adaptive Optics (MCAO) mode of the MICADO camera and spectrograph. The PSF-R application will provide reconstructed PSFs through an archive querying system to restore the telemetry data synchronous to each science frame that MICADO will generate. Eventually, the PSF-R software will produce the output according to user specifications. The PSF-R service will support the state-of-the-art scientific analysis of the MICADO imaging and spectroscopic data. | Conference Name: | Adaptive Optics Systems VII | Conference Place: | California, United States | Conference Date: | 14-18 December, 2020 | URI: | http://hdl.handle.net/20.500.12386/31384 | URL: | https://api.elsevier.com/content/abstract/scopus_id/85100053953 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11448/2561251/MICADO-PSF-reconstruction-work-package-description/10.1117/12.2561251.full?SSO=1 |
ISSN: | 0277-786X | ISBN: | 9781510636835 9781510636842 |
DOI: | 10.1117/12.2561251 | Bibcode ADS: | 2020SPIE11448E..37S | Fulltext: | open |
Appears in Collections: | 3.01 Contributi in Atti di convegno |
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1144837.pdf | Pdf editoriale | 2.76 MB | Adobe PDF | View/Open |
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