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PlanetEvidence: Planet or Noise?

Golomb, Jason and Rocha, Graça and Meshkat, Tiffany and Bottom, Michael and Mawet, Dimitri and Mennesson, Bertrand and Vasisht, Gautam and Wang, Jason (2019) PlanetEvidence: Planet or Noise? . (Unpublished)

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The work presented here attempts at answering the question: how do we decide when a given adetection is a planet or just residual noise in exoplanet direct imaging data? To this end we present a method implemented within a Bayesian framework: (1) to unify 'source detection', and, 'source characterization' into one single rigorous mathematical framework; (2) to enable an adequate hypothesis testing given the S/N of the data; (3) to enhance the detectability of planets faint signal in the presence of instrumental and background noise and to optimize the characterization of the planet. As a proof of concept we implemented a routine named

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Rocha, Graça0000-0002-4150-8076
Meshkat, Tiffany0000-0001-6126-2467
Bottom, Michael0000-0003-1341-5531
Mawet, Dimitri0000-0002-8895-4735
Mennesson, Bertrand0000-0003-4205-4800
Vasisht, Gautam0000-0002-1871-6264
Wang, Jason0000-0003-0774-6502
Additional Information:GR would like to acknowledge useful discussions with Jeff Jewell. The research presented here was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.
Group:Astronomy Department
Funding AgencyGrant Number
Record Number:CaltechAUTHORS:20200309-112437574
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101780
Deposited By: Joy Painter
Deposited On:09 Mar 2020 22:53
Last Modified:09 Mar 2020 22:53

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