Computer Science – Performance
Scientific paper
Jan 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003spie.4840..415f&link_type=abstract
Future Giant Telescopes. Edited by Angel, J. Roger P.; Gilmozzi, Roberto. Proceedings of the SPIE, Volume 4840, pp. 415-426 (2
Computer Science
Performance
Scientific paper
Layer-Oriented MCAO is a promising technique that can scale up easily compared to similar competing techniques. The Multiple-Field-of-View Layer-Oriented make a further step employing more guide stars to sample the turbulence with the net effect of increasing the sky coverage enabling MCAO systems based only natural guide stars. However even a simple estimation of Layer-Oriented M-FoV MCAO performance for the Extremely Large Telescopes, in particular for OWL, has not been attempted yet. The main problem is the enormous amount of computing power (processor and memory) required to properly carry out an accurate simulation for ELTs. In this work we perform a numerical simulation using some shortcuts to simplify the problem and achieve a first cut of what the performance of Layer-Oriented M-FoV MCAO could be for a 100m-class telescope. We take a mixed analytical-numerical approach in order to significantly reduce the amount of computing power required while maintaining a good level of accuracy.
Arcidiacono Carmelo
Diolaiti Emiliano
Fedrigo Enrico
Marchetti Enrico
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