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] (http://repository.asu.edu/attachments/126037/content/Mechtley_asu_0010E_13571.pdf)
A journal article is forthcoming, but if you use psfMC in the meantime, please cite:
[Mechtley, M. 2014, PhD Thesis, Arizona State Univ.] (https://ui.adsabs.harvard.edu/#abs/2014PhDT.........1M)
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:
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 (
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.
The software depends on the
astropy modules. The
matplotlib module and
corner modules are required for certain tests,
posterior statistics, and posterior analysis plots.
pyregion module is optional but strongly recommended for
ease of masking out foreground or background objects unrelated to the quasar
numexpr module is also optional, and is used to parallelize certain
calculations (generating Sersic profiles), providing a marginal increase in