Bayesian bulge-disc decomposition of galaxy images
We introduce PHI, a fully Bayesian Markov chain Monte Carlo algorithm designed for the structural decomposition of galaxy images. PHI uses a triple layer approach to effectively and efficiently explore the complex parameter space. Combining this with the use of priors to prevent non-physical models, PHI offers a number of significant advantages for
Argyle, J. J. et al.
Fecha de publicación:
9
2018