Linear and Bayesian Planet Detection Algorithms for the Terrestrial Planet Finder

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dc.creatorKasdin, N. Jeremy
dc.creatorBraems, Isabelle
dc.date2006-01-02
dc.date.accessioned2026-07-07T10:43:31Z
dc.date.available2026-07-07T10:43:31Z
dc.descriptionCurrent 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 utilize this model to develop two planet detection algorithms, one based on matched filtering of the 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.
dc.identifierhttps://arxiv.org/abs/astro-ph/0601028
dc.identifierhttp://arxiv.org/abs/astro-ph/0601028
dc.identifierAstrophys.J.646:1260-1274,2006
dc.identifierdoi:10.1086/505017
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/182269
dc.subjectAstrophysics
dc.titleLinear and Bayesian Planet Detection Algorithms for the Terrestrial Planet Finder
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