Astro modelling
Project description
PyAutoGalaxy
The study of a galaxy's light, structure and dynamics is at the heart of modern day Astrophysical research. PyAutoGalaxy makes it simple to model galaxies, like this one:
Missing for now :(
Example
With PyAutoGalaxy, you can begin modeling a galaxy in just a couple of minutes. The example below demonstrates a simple analysis which fits a galaxy's light.
.. code-block:: python
import autofit as af
import autogalaxy as ag
import os
# In this example, we'll fit an image of a single galaxy .
dataset_path = '{}/../data/'.format(os.path.dirname(os.path.realpath(__file__)))
galaxy_name = 'example_galaxy'
# Use the relative path to the dataset to load the imaging data.
imaging = ag.Imaging.from_fits(
image_path=dataset_path + galaxy_name + '/image.fits',
psf_path=dataset_path+galaxy_name+'/psf.fits',
noise_map_path=dataset_path+galaxy_name+'/noise_map.fits',
pixel_scales=0.1)
# Create a mask for the data, which we setup as a 3.0" circle.
mask = ag.Mask.circular(shape_2d=imaging.shape_2d, pixel_scales=imaging.pixel_scales, radius=3.0)
# We model our galaxy using a light profile (an elliptical Sersic).
light_profile = ag.lp.EllipticalSersic
# To setup our model galaxy, we use the GalaxyModel class, which represents a galaxy whose parameters
# are free & fitted for by PyAutoGalaxy. The galaxy is also assigned a redshift.
galaxy_model = ag.GalaxyModel(redshift=1.0, light=light_profile)
# To perform the analysis we set up a phase, which takes our galaxy model & fits its parameters using a non-linear
# search (in this case, MultiNest).
phase = ag.PhaseImaging(
galaxies=dict(galaxy=galaxy_model),
phase_name='example/phase_example',
search=af.DynestyStatic()
)
# We pass the imaging data and mask to the phase, thereby fitting it with the galaxy model & plot the resulting fit.
result = phase.run(data=imaging, mask=mask)
ag.plot.FitImaging.subplot_fit_imaging(fit=result.max_log_likelihood_fit)
Getting Started
Please contact us via email or on our SLACK channel if you are interested in using PyAutoGalaxy, as project is still a work in progress whilst we focus n PyAutoFit and PyAutoLens.
Slack
We're building a PyAutoGalaxy community on Slack, so you should contact us on our
Slack channel <https://pyautogalaxy.slack.com/>_ before getting started. Here, I will give you the latest updates on
the software & discuss how best to use PyAutoGalaxy for your science case.
Unfortunately, Slack is invitation-only, so first send me an email <https://github.com/Jammy2211>_ requesting an
invite.
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