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Common spatial pattern filtering for detection of circumstellar discs
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Paper Abstract

We present a new algorithm to be used for extraction of circumstellar discs from direct imagining observations. The underlying mechanism of this algorithm is Common Spatial Pattern filtering, a technique commonly found in fields outside astronomy. It is a method used to maximize the difference between two sets of data. We employ this by using distributing the disc signal in different locations, employing Angular Differential Imaging. By generating the difference, we can reconstruct the circumstellar disc in post-processing with limited speckle noise. We demonstrate the algorithm with a common disc: HR 4796a. These results are then compared to a current algorithm: Karhunen-Loeve Image Processing. Common Spatial Pattern filtering represents a new class of direct imaging signal extraction: modelling the signal directly rather than speckle subtraction.

Paper Details

Date Published: 9 July 2018
PDF: 8 pages
Proc. SPIE 10701, Optical and Infrared Interferometry and Imaging VI, 107012G (9 July 2018); doi: 10.1117/12.2312265
Show Author Affiliations
Jacob Shapiro, 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. 10701:
Optical and Infrared Interferometry and Imaging VI
Michelle J. Creech-Eakman; Peter G. Tuthill; Antoine Mérand, Editor(s)

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