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scarlet: Source separation in multi-band images by Constrained Matrix Factorization
scarlet: Source separation in multi-band images by Constrained Matrix Factorization
- Source :
- NASA Astrophysics Data System
-
Abstract
- We present the source separation framework SCARLET for multi-band images, which is based on a generalization of the Non-negative Matrix Factorization to alternative and several simultaneous constraints. Our approach describes the observed scene as a mixture of components with compact spatial support and uniform spectra over their support. We present the algorithm to perform the matrix factorization and introduce constraints that are useful for optical images of stars and distinct stellar populations in galaxies, in particular symmetry and monotonicity with respect to the source peak position. We also derive the treatment of correlated noise and convolutions with band-dependent point spread functions, rendering our approach applicable to coadded images observed under variable seeing conditions. SCARLET thus yields a PSF-matched photometry measurement with an optimally chosen weight function given by the mean morphology in all available bands. We demonstrate the performance of SCARLET for deblending crowded extragalactic scenes and on an AGN jet -- host galaxy separation problem in deep 5-band imaging from the Hyper Suprime-Cam Stategic Survey Program. Using simulations with prominent crowding we show that SCARLET yields superior results to the HSC-SDSS deblender for the recovery of total fluxes, colors, and morphologies. Due to its non-parametric nature, a conceptual limitation of SCARLET is its sensitivity to undetected sources or multiple stellar population within detected sources, but an iterative strategy that adds components at the location of significant residuals appears promising. The code is implemented in Python with C++ extensions and is available at https://github.com/fred3m/scarlet<br />Comment: accepted by Astronomy & Computing
- Subjects :
- Weight function
Computer science
FOS: Physical sciences
Astronomy and Astrophysics
Image processing
02 engineering and technology
Astrophysics::Cosmology and Extragalactic Astrophysics
01 natural sciences
Galaxy
Computer Science Applications
Non-negative matrix factorization
Matrix decomposition
Rendering (computer graphics)
Photometry (optics)
Space and Planetary Science
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Source separation
020201 artificial intelligence & image processing
Astrophysics - Instrumentation and Methods for Astrophysics
010303 astronomy & astrophysics
Algorithm
Instrumentation and Methods for Astrophysics (astro-ph.IM)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- NASA Astrophysics Data System
- Accession number :
- edsair.doi.dedup.....3082dc5d9737a08091e1ae86da67f256