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Approximate nonnegative matrix factorization algorithm for the analysis of angular differential imaging data
Author(s): C. Arcidiacono; V. Simoncini
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Paper Abstract

The angular differential imaging (ADI) is used to improve contrast in high resolution astronomical imaging. An example is the direct imaging of exoplanet in camera fed by Extreme Adaptive Optics. The subtraction of the main dazzling object to observe the faint companion was improved using Principal Component Analysis (PCA). It factorizes the positive astronomical frames into positive and negative components. On the contrary, the Nonnegative Matrix Factorization (NMF) uses only positive components, mimicking the actual composition of the long exposure images.

Paper Details

Date Published: 11 July 2018
PDF: 9 pages
Proc. SPIE 10703, Adaptive Optics Systems VI, 1070331 (11 July 2018); doi: 10.1117/12.2311681
Show Author Affiliations
C. Arcidiacono, INAF - Osservatorio Astrofisico e Scienza dello Spazio di Bologna (Italy)
ADONI - Lab. Nazionale di Ottica Adattiva (Italy)
V. Simoncini, Univ. degli Studi di Bologna (Italy)

Published in SPIE Proceedings Vol. 10703:
Adaptive Optics Systems VI
Laird M. Close; Laura Schreiber; Dirk Schmidt, Editor(s)

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