MCMC 2D surface brightness fitting for quasar host galaxies
Python
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README.md

psfMC

MCMC 2D surface brightness modeling for quasar / host galaxy decompositions

Usage is provided in docstrings, and an example model is provided in the examples directory. My Ph.D. thesis contains a more detailed discussion of the problem (simultaneous modeling of quasar point sources and host galaxies) and why I have made specific design decisions. My dissertation is available open-access at the following URL:

Markov Chain Monte Carlo Modeling of High-Redshift Quasar Host Galaxies in Hubble Space Telescope Imaging

A journal article is forthcoming, but if you use psfMC in the meantime, please cite:

Mechtley, M. 2014, PhD Thesis, Arizona State Univ.

Recent Changes and Notes

The current master branch is a beta release (until I finalize formal unit tests). No additional features are planned for the 1.0 release, and additional bugfixes are considered low priority (may make it in or may not).

Beta release 1.0b5 adds a new analysis submodule. FITS image production has been moved there, and various statistical and plotting methods have been added for analyzing posterior chains. This includes MCMC covariance corner plots via Dan Foreman-Mackey's corner.py module. Also includes two new command line scripts: corner_plot and plot_chain to generate these plots from a terminal.

Beta release 1.0b4 migrated from pyfits to the astropy.io.fits module, since this is the package where future development of FITS support will continue.

Beta release 1.0b3 changes the way that certain model parameters are supplied. Specifically, it adds a new Configuration component, as the only required component in the python model file. Parameters related to the model definition (measured galaxy images, psf images, magnitude zeropoint) are now specified in this component. Parameters related to MCMC sampling (burn, iter, etc.) are still passed directly to model_galaxy_mcmc. See the example model file in examples/model_J0005-0006.py for a usage example.

Dependencies

The software depends on the numpy, scipy, pymc, and astropy modules. The matplotlib module and corner modules are required for certain tests, posterior statistics, and posterior analysis plots.

Additionally, the pyregion module is optional but strongly recommended for ease of masking out foreground or background objects unrelated to the quasar being modeled.

The numexpr module is also optional, and is used to parallelize certain calculations (generating Sersic profiles), providing a marginal increase in speed.