Planet signal extraction from direct imaging using common spatial pattern filtering

Jacob Shapiro; Nikhil Ranganathan; Dmitry Savransky; Jean-Baptiste Ruffio; Bruce Macintosh

doi:10.1117/12.2273957

1 September 2017 Planet signal extraction from direct imaging using common spatial pattern filtering

Jacob Shapiro, Nikhil Ranganathan, Dmitry Savransky, Jean-Baptiste Ruffio, Bruce Macintosh

Proceedings Volume 10400, Techniques and Instrumentation for Detection of Exoplanets VIII; 104001O (2017) https://doi.org/10.1117/12.2273957
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Jacob Shapiro, Nikhil Ranganathan, Dmitry Savransky, Jean-Baptiste Ruffio, and Bruce Macintosh "Planet signal extraction from direct imaging using common spatial pattern filtering", Proc. SPIE 10400, Techniques and Instrumentation for Detection of Exoplanets VIII, 104001O (1 September 2017); https://doi.org/10.1117/12.2273957

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