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  5. LINC-NIRVANA Commissioning at the Large Binocular Telescope - Lessons Learned
 

LINC-NIRVANA Commissioning at the Large Binocular Telescope - Lessons Learned

Date Issued
2019
Author(s)
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  
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.
Coverage
Adaptive Optics for Extremely Large Telescopes (AO4ELT6)
Conferenece
Adaptive Optics for Extremely Large Telescopes (AO4ELT6)
Conferenece place
Quebec City, Quebec, Canada
Conferenece date
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
Rights
open.access
File(s)
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2019_AO4ELT6_Kalyan.pdf

Description
Pdf editoriale
Size

9.56 MB

Format

Adobe PDF

Checksum (MD5)

6952c70f1cf587def0f9765588a0e2be

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