dustapprox 0.2.0

A tool for computing extinction coefficients in a quick and dirty manner

This is a set of tools to compute photometric extinction coefficients in a quick and dirty way.

full documentation at: http://mfouesneau.github.io/dustapprox/

see recent changes at: What’s new

Quick Start

import pandas as pd
from dustapprox import models
from dustapprox.literature import edr3
import pylab as plt

# get Gaia models
lib = models.PrecomputedModel()
r = lib.find(passband='Gaia')[0]  # taking the first one
model = lib.load_model(r, passband='GAIA_GAIA3.G')

# get some data
data = pd.read_csv('models/precomputed/kurucz_gaiaedr3_small_a0_grid.csv')
df = data[(data['passband'] == 'GAIA_GAIA3.G') & (data['A0'] > 0)]

# values
kg_pred = model.predict(df)

Installation

• Installation from PyPI

pip install dustapprox

• Installation from pip+github

pip install git+https://github.com/mfouesneau/dustapprox

• Manual installation

download the repository and run the setup

git clone https://github.com/mfouesneau/dustapprox
python -m pip install .

Contributors

• Morgan Fouesneau (@mfouesneau)

• René Andrae

• Rosanna Sordo

• Thavisha Dharmawardena

Contributing

Please open a new issue or new pull request for bugs, feedback, or new features you would like to see. If there is an issue you would like to work on, please leave a comment, and we will be happy to assist. New contributions and contributors are very welcome!

see contributing guide for more information.