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Proceedings Paper

Planet signal extraction from direct imaging using common spatial pattern filtering
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Paper Abstract

One of the most effective methods to subtract the PSF of the host star and other confounding noise sources from direct imaging observations is Principal Component Analysis. Common Spatial Pattern filtering is a method from the same class of algorithms as PCA. We examine CSP as an alternative algorithm for PSF subtraction. The underlying principles of CSP are discussed, as well as the processing steps needed to achieve PSF subtraction. Both CSP and PCA have been used on data from the Gemini Planet Imager, analyzing images of β Pic b. Preliminary results indicate that CSP achieves similar results as PCA.

Paper Details

Date Published: 1 September 2017
PDF: 12 pages
Proc. SPIE 10400, Techniques and Instrumentation for Detection of Exoplanets VIII, 104001O (1 September 2017); doi: 10.1117/12.2273957
Show Author Affiliations
Jacob Shapiro, Cornell Univ. (United States)
Nikhil Ranganathan, Cornell Univ. (United States)
Dmitry Savransky, Cornell Univ. (United States)
Jean-Baptiste Ruffio, Stanford Univ. (United States)
Bruce Macintosh, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 10400:
Techniques and Instrumentation for Detection of Exoplanets VIII
Stuart Shaklan, Editor(s)

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