COSMIC: a real-time platform for signal processing pipelines
| dc.contributor.author | Ferreira, Florian | |
| dc.contributor.author | Bernard, Julien | |
| dc.contributor.author | Sevin, Arnaud | |
| dc.contributor.author | Doucet, Nicolas | |
| dc.contributor.author | Gratadour, Damien | |
| dc.contributor.editor | Lazcano, Raquel | |
| dc.contributor.editor | Pelcat, Maxime | |
| dc.contributor.editor | Palumbo, Francesca | |
| dc.contributor.editor | Jean Francois Nezan | |
| dc.coverage.spatial | Rennes, France | |
| dc.date.accessioned | 2024-07-24T23:36:51Z | |
| dc.date.available | 2024-07-24T23:36:51Z | |
| dc.date.created | November 2-4, 2022 | |
| dc.date.issued | 2022 | |
| dc.date.updated | 2023-10-22T07:16:44Z | |
| dc.description.abstract | The incoming giant class of telescopes, led by the Extremely Large Telescope (ELT), is a turning point for ground-based optical astronomy. Building instruments able to operate in this next generation is challenging from many points of view, scientifically as well as technologically. Those instruments will need Adaptive Optics (AO) systems to compensate for the atmospheric turbulence impact on the observations, and those systems' complexity also reaches summits at this scale. Especially, the computational complexity coupled with strong hard real-time requirements and a need for high modularity and robustness make it challenging, bringing the need for disruptive developments. In this paper, we present the COSMIC platform developed for building efficient and modular AO real-time pipelines. The reference architecture is presented, and 2 different AO use cases at different scales are considered for the performance benchmark. Results show strong hard real-time capabilities, already fulfilling the need coming with this new generation of giant telescopes. | |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.isbn | 9781665485241 | |
| dc.identifier.uri | https://hdl.handle.net/1885/733714180 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | IEEE Explore | |
| dc.relation.ispartofseries | SiPS22: IEEE Workshop on Signal Processing Systems 2022 | |
| dc.rights | © 2022 IEEE | |
| dc.source | 2022 IEEE Workshop on Signal Processing Systems (SiPS) | |
| dc.title | COSMIC: a real-time platform for signal processing pipelines | |
| dc.type | Conference paper | |
| local.bibliographicCitation.lastpage | 6 | |
| local.bibliographicCitation.startpage | 1 | |
| local.contributor.affiliation | Ferreira, Florian, Lab. d'Etudes Spatiales et d'Instrumentation en Astrophysique | |
| local.contributor.affiliation | Bernard, Julien, College of Science, ANU | |
| local.contributor.affiliation | Sevin, Arnaud, Lab. d'Etudes Spatiales et d'Instrumentation en Astrophysique | |
| local.contributor.affiliation | Doucet, Nicolas, College of Science, ANU | |
| local.contributor.affiliation | Gratadour, Damien, Observatoire de Paris-Meudon | |
| local.contributor.authoruid | Bernard, Julien, u1100054 | |
| local.contributor.authoruid | Doucet, Nicolas, u1099579 | |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 510100 - Astronomical sciences | |
| local.identifier.absseo | 280120 - Expanding knowledge in the physical sciences | |
| local.identifier.ariespublication | a383154xPUB37517 | |
| local.identifier.doi | 10.1109/SiPS55645.2022.9919251 | |
| local.identifier.scopusID | 2-s2.0-85141750025 | |
| local.publisher.url | https://www.ieee.org/ | |
| local.type.status | Published Version |
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