Optimization of pyKLIP's forward model matched filter for the GPI Exoplanet Survey

Jean-Baptiste Ruffio; Bruce Macintosh; Jason J. Wang; Laurent Pueyo

doi:10.1117/12.2274539

1 September 2017 Optimization of pyKLIP's forward model matched filter for the GPI Exoplanet Survey

Jean-Baptiste Ruffio; Bruce Macintosh; Jason J. Wang; Laurent Pueyo

Author Affiliations +

Proceedings Volume 10400, Techniques and Instrumentation for Detection of Exoplanets VIII; 1040027 (2017) https://doi.org/10.1117/12.2274539
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

The Gemini Planet Imager (GPI) is an adaptive optics instrument for direct imaging of young self-luminous extrasolar planets in the immediate vicinity of bright stars. Such high contrast images are often dominated by speckle artifacts, which need to be removed with sophisticated data processing. Ref. 1 introduced a new matched filter for direct detection of point sources using the KLIP speckle subtraction algorithm including a forward model of the planet PSF. We present here a much more thorough analysis of the free parameters of the implementation of this algorithm in the Python git repository pyKLIP. We perform a series of one dimensional optimization over pyKLIP parameters: the reference library exclusion criterion, the number of principal components, and the size of the sectors. We also study the effect of a spectral template mismatch between the real planets and the reduction spectrum in four GPI spectral bands (J, H, K1, K2).

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Jean-Baptiste Ruffio, Jean-Baptiste Ruffio, Bruce Macintosh, Bruce Macintosh, Jason J. Wang, Jason J. Wang, Laurent Pueyo, Laurent Pueyo, } "Optimization of pyKLIP's forward model matched filter for the GPI Exoplanet Survey", Proc. SPIE 10400, Techniques and Instrumentation for Detection of Exoplanets VIII, 1040027 (1 September 2017); doi: 10.1117/12.2274539; https://doi.org/10.1117/12.2274539

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