Linear and bayesian planet detection algorithms for the terrestrial planet finder

N. Jeremy Kasdin, Isabelle Braems

Research output: Contribution to journalArticle

33 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1260-1274
Number of pages15
JournalAstrophysical Journal
Volume646
Issue number2 I
DOIs
StatePublished - Aug 1 2006

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Methods: data analysis
  • Planetary systems

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