AFFOGATO

gAlactic Faint Feature extractiOn with GALFITM-bAsed Tools in pythOn

Used in Nolan et al., 2025 and submitted separately to JOSS. The example file should work in an environment installed with Jupyter and affogato-agn - I use Conda, and add nb_conda_kernels to the environment setup and install affogato-agn separately with pip. One must install (and ideally, add to PATH in .bashrc to be run globally) GALFITM separately before using AFFOGATO including the example script.

Note that the distribution name of the package is affogato-agn but the import name is affogato. This does render it incompatible with the affogato package, so do not install it (it predates this package, so this is unavoidable).

General Notes for Use:

These wrapper functions generally assume all of the GALFITM work is being done in a fairly clean directory, where files are not being saved permanently, instead being backed up somewhere else if needed, and other intermediate processes are discarded. I've tried to make these functions as general as is practical, and noted in comments where the code becomes specific to my use case. When using the run_galfit() function or any wrapping functions, one should provide the optional argument 'galpath' with the full path to the GALFITM executable - alternatively, if this path has been added to PATH in your .bashrc, you should be able to just pass 'galfitm'.

NOTA BENE: On my Mac, the GALFITM executable did not work until placing it in the src folder of Anaconda3, and only then did it throw an error stating it was being blocked by the security software of my Mac. I was then able to override that block in the Privacy & Security settings. I provide options for where to send your download, but your mileage may vary.