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The numerical simulation tool for the MAORY multiconjugate adaptive optics system

Authors :
Arcidiacono, Carmelo
Schreiber, Laura
Bregoli, Giovanni
Diolaiti, Emiliano
Foppiani, Italo
Agapito, Guido
Puglisi, Alfio
Xompero, Marco
Oberti, Sylvain
Cosentino, Giuseppe
Lombini, Matteo
Butler, Chris R.
Ciliegi, Paolo
Cortecchia, Fausto
Patti, Mauro
Esposito, Simone
Feautrier, Philippe
Arcidiacono, Carmelo
Schreiber, Laura
Bregoli, Giovanni
Diolaiti, Emiliano
Foppiani, Italo
Agapito, Guido
Puglisi, Alfio
Xompero, Marco
Oberti, Sylvain
Cosentino, Giuseppe
Lombini, Matteo
Butler, Chris R.
Ciliegi, Paolo
Cortecchia, Fausto
Patti, Mauro
Esposito, Simone
Feautrier, Philippe
Publication Year :
2016

Abstract

The Multiconjugate Adaptive Optics RelaY (MAORY) is and Adaptive Optics module to be mounted on the ESO European-Extremely Large Telescope (E-ELT). It is a hybrid Natural and Laser Guide System that will perform the correction of the atmospheric turbulence volume above the telescope feeding the Multi-AO Imaging Camera for Deep Observations Near Infrared spectro-imager (MICADO). We developed an end-to-end Monte- Carlo adaptive optics simulation tool to investigate the performance of a the MAORY and the calibration, acquisition, operation strategies. MAORY will implement Multiconjugate Adaptive Optics combining Laser Guide Stars (LGS) and Natural Guide Stars (NGS) measurements. The simulation tool implements the various aspect of the MAORY in an end to end fashion. The code has been developed using IDL and uses libraries in C++ and CUDA for efficiency improvements. Here we recall the code architecture, we describe the modeled instrument components and the control strategies implemented in the code.<br />Comment: 6 pages, 1 figure, Proceeding 9909 310 of the conference SPIE Astronomical Telescopes + Instrumentation 2016, 26 June 1 July 2016 Edinburgh, Scotland, UK

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1098105598
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1117.12.2232530