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Proceedings Paper

Blind source separation approaches for exoplanet signal extraction
Author(s): Dmitry Savransky
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Paper Abstract

Post-processing is a key step in the extraction of exoplanet signals from direct imaging data. Multiple currently employed techniques (including all variations on principal component analysis and singular value decomposition) belong to a general class of algorithms called Blind Source Separation (BSS). Here we demonstrate two other BSS algorithms that have previously not been tested on exoplanet imaging data: independent component analysis and common spatial pattern filtering. We utilize synthetic data with known signals to evaluate the performance of these techniques and discuss the relative strengths of each approach as a function of the correlation and relative magnitude of various noise sources commonly found in exoplanet imaging data.

Paper Details

Date Published: 11 September 2015
PDF: 12 pages
Proc. SPIE 9605, Techniques and Instrumentation for Detection of Exoplanets VII, 96050R (11 September 2015); doi: 10.1117/12.2188320
Show Author Affiliations
Dmitry Savransky, Cornell Univ. (United States)


Published in SPIE Proceedings Vol. 9605:
Techniques and Instrumentation for Detection of Exoplanets VII
Stuart Shaklan, Editor(s)

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