Hierarchical multispectral galaxy decomposition using a MCMC algorithm with multiple temperature simulated annealing

DOI10.1016/j.patcog.2010.11.021zbMath1213.85008OpenAlexW2142894583MaRDI QIDQ632639

Vincent Mazet, Benjamin Perret, Christophe Collet, Éric Slezak

Publication date: 25 March 2011

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.11.021

zbMATH Keywords

inverse problemssimulated annealingastronomyhierarchical decompositionmodelling and recovery of physical attributesMonte Carlo Markov chain algorithms

Mathematics Subject Classification ID

Galactic and stellar dynamics (85A05) General questions in astronomy and astrophysics (85A04) Statistical astronomy (85A35) Experimental work for problems pertaining to astronomy and astrophysics (85-05)

Uses Software

• SExtractor
• GALFIT
• BUDDA

Cites Work

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• Optimization by Simulated Annealing
• Markov chain Monte Carlo: can we trust the third significant figure?
• Batch means and spectral variance estimators in Markov chain Monte Carlo
• Fixed-Width Output Analysis for Markov Chain Monte Carlo
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Adaptive Markov Chain Monte Carlo through Regeneration
• Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
• Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms