ZodiPy is an Astropy affiliated package for simulating zodiacal light in intensity for arbitrary solar system observers.
See the documentation for a list of supported zodiacal light models and examples of how to use ZodiPy.
import astropy.units as u
from astropy.coordinates import SkyCoord
from astropy.time import Time
import zodipy
# Initialize a zodiacal light model at a wavelength/frequency or over a bandpass
model = zodipy.Model(25*u.micron)
# Use Astropy's `SkyCoord` object to specify coordinates
lon = [10, 10.1, 10.2] * u.deg
lat = [90, 89, 88] * u.deg
obstimes = Time(["2022-01-01 12:00:00", "2022-01-01 12:01:00", "2022-01-01 12:02:00"])
skycoord = SkyCoord(lon, lat, obstime=obstimes, frame="galactic")
# Evaluate the zodiacal light model
emission = model.evaluate(skycoord)
print(emission)
#> [27.52410841 27.66572294 27.81251906] MJy / srSee CITATION
- Cosmoglobe: Simulating zodiacal emission with ZodiPy (San et al. 2022).
- ZodiPy: A Python package for zodiacal light simulations (San 2024).
ZodiPy is installed with pip
pip install zodipyZodiPy supports all Python versions >= 3.9, and has the following dependencies:
ZodiPy uses Poetry for development. To build and commit to the repository with the existing pre-commit setup, developers need to have Poetry (>= 1.8.0) installed. See the Poetry documentation for installation guide.
After poetry has been installed, developers should create a new virtual environment and run the following in the root of the ZodiPy repositry
poetry install
This will download all dependencies (including dev)from pyproject.toml, and poetry.lock.
The following tools should be run from the root of the repository with no errors. (These are ran automatically as part of the CI workflows on GitHub, but should be tested locally first)
Testing is done with pytest. To run the tests, run the following command from the repository root
pytestFormating and linting is done with ruff. To format and lint, run the following command from the repository root
ruff check
ruff formatZodiPy is fully typed. We use mypy as a static type checker. To type check, run the following command from the repositry root
mypy zodipy/Remeber to add tests when implementing new features to maintain a high code coverage.
We use MkDocs to create our documentation. To serve the docs locally on you machine, run the following from the repositry root
mkdocs serveThis work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 776282 (COMPET-4; BeyondPlanck), 772253 (ERC; bits2cosmology) and 819478 (ERC; Cosmoglobe).
