Approximate nonnegative matrix factorization algorithm for the analysis of angular differential imaging data

Date Issued
2018
Author(s)
•
Simoncini, V.
DOI
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.
Coverage
Adaptive Optics Systems VI
All editors
Close, Laird M.; Schreiber, Laura; Schmidt, Dirk
Series
Volume
10703
Start page
1070331
Conferenece
Adaptive Optics Systems VI
Conferenece place
Austin, Texas, United States
Conferenece date
10 - 15 June, 2018
Uri
Url
Issn Identifier
0277-786X
Ads BibCode
2018SPIE10703E..31A
Rights
open.access
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