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Kasdin, J. N. & Braems, I. (2006) Linear and Bayesian planet detection algorithms for the Terrestrial Planet Finder. Astrophys. J. 646 1260–1274.
Added by: Richard Baschera (2016-10-21 13:38:38) Last edited by: Richard Baschera (2016-10-21 14:04:33) |
| Type de référence: Article DOI: 10.1086/505017 Numéro d'identification (ISBN etc.): 0004-637X Clé BibTeX: Kasdin2006 Voir tous les détails bibliographiques  |
Catégories: HORSIMN Mots-clés: coronagraphs, masks, methods : data analysis, planetary systems Créateurs: Braems, Kasdin Collection: Astrophys. J. |
Consultations : 1/611
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Current plans call for the first Terrestrial Planet Finder mission, TPF-C, to be a monolithic space telescope with a coronagraph for achieving high contrast. The coronagraph removes the diffracted starlight allowing the nearby planet to be detected. In this paper, we present a model of the planet measurement and noise statistics. We use this model to develop two planet detection algorithms, one based on matched filtering of the point-spread function (PSF) and one using Bayesian techniques. These models are used to formulate integration time estimates for a planet detection with desired small probabilities of false alarms and missed detections.
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