Computer Science – Performance
Scientific paper
Jul 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7013e.148b&link_type=abstract
Optical and Infrared Interferometry. Edited by Schöller, Markus; Danchi, William C.; Delplancke, Françoise. Proceedings of the
Computer Science
Performance
Scientific paper
Several nulling signal processing techniques have been recently developed: CLEAN (Draper et al 2006) or Bayesian (Thiébaut & Mugnier 2006, Marsh et al 2006). The days-long signal acquisition time required for exoplanet detection and characterization opens the possibility for "on the go" processing of the signal as it is being acquired. This permits dynamic observation strategy alteration, thus improved mission performance through optimal time assignment to targets. We have developed an implementation of the algorithm by Thiébaut & Mugnier that is optimized for synchronous execution with the arrival of observation data. This will enable to investigate the behavior of the detection for planet layouts that may prove challenging, as well as to investigate the performance of a dynamic tuning of the regularization parameters. It is an additional step towards the end-to-end simulations required for validation of the overall performance of these observatories.
Belu Adrian R.
Lanteri Henri
Theys-Ferrari Céline
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