Code and Data Products

Code

Please look at my github profile to see all the projects I’m currently working on. I briefly describe some of my codes here:

imcascade

imcascade (fitting IMages with a CASCADE of gaussians, described here ) is a Bayesian implementation of the multi-gaussian expansion method for fitting the morphology of galaxies. The python implementation is availible on github and PyPI. Please see the docs for an in-depth example and also reach out if you are intereseted in using this code and have issues or any questions.

Data

Galaxy photometry in the DWFS

Please find a link to a catalog of photometry measurements for massive galaxies in the Dragonfly Wide Field Survey from Miller et al. (2020). The photometry is measured by integrating the 1-D profile as described in the paper and is converted to the SDSS filter system. Total magnitudes for the g and r band reported as well as the g-r color. Please cite the above paper if you use this data and reach out if you have any questions.