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http://hdl.handle.net/20.500.12386/30116
Titolo: | LINC-NIRVANA Commissioning at the Large Binocular Telescope - Lessons Learned | Autori: | RADHAKRISHNAN SANTHAKUMARI, KALYAN KUMAR ARCIDIACONO, CARMELO BERGOMI, Maria Bertram, Thomas Briegel, Florian FARINATO, JACOPO Herbst, Thomas M. Hill, John M. Klettke, Micah MARAFATTO, Luca McGurk, Rosalie C. RAGAZZONI, Roberto Santos, Fabio P. VIOTTO, VALENTINA |
Data pubblicazione: | 2019 | Titolo del volume in cui è pubblicato il poster: | Adaptive Optics for Extremely Large Telescopes (AO4ELT6) | Abstract: | LINC-NIRVANA (LN) is one of the instruments on-board the Large Binocular Telescope (LBT). LN is a high- resolution, near-infrared imager equipped with an advanced adaptive optics module. LN implements layer- oriented Multi-Conjugate Adaptive Optics (MCAO) approach using two independent wavefront sensors per side of the binocular telescope measuring the turbulence volume above the telescope. The capability of acquiring up to 20 Natural Guide Stars simultaneously from two distinct fields of view, and using them for wavefront sensing with 20 separate pyramids per side of the telescope makes the LN MCAO system one of a kind. Commissioning of the left MCAO channel is almost complete, while that of the right arm is on-going. The Science Verification on the left side is expected to start soon after the MCAO performance is optimised for faint guide stars. In this article, we put together the lessons learned during the commissioning of the LN MCAO module. We hope and believe that this article will help the future MCAO instrument commissioning teams. | Titolo del convegno: | Adaptive Optics for Extremely Large Telescopes (AO4ELT6) | Luogo del convegno: | Quebec City, Quebec, Canada | Periodo del convegno: | 9-14 June, 2019 | URI: | http://hdl.handle.net/20.500.12386/30116 | URL: | http://ao4elt6.copl.ulaval.ca/ http://ao4elt6.copl.ulaval.ca/proceedings.html |
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È visualizzato nelle collezioni: | 3.01 Contributi in Atti di convegno |
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2019_AO4ELT6_Kalyan.pdf | Pdf editoriale | 9.79 MB | Adobe PDF | Visualizza/apri |
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