sed_fit

SED fitting library suitable for single or multiple stars

Setup of runtime environment

This code base was developed within the context of a Python3 virtual environment which supports Python 3.9-3.12, matplotlib, astropy, astroquery, lightkurve, emcee, and the custom deblib package upon which the code is dependent. The dependencies are documented in the requirements.txt file.

Having first cloned this GitHub repo, open a Terminal at the root of the local repo and run the following commands. First to create and activate the venv;

$ python -m venv .sed_fit
$ source .sed_fit/bin/activate

Then run the following to set up the required packages:

$ pip install -r requirements.txt

You may need to install the jupyter kernel in the new venv:

$ ipython kernel install --user --name=.sed_fit

Alternative, conda virtual environment

To set up an sed_fit conda environment, from the root of the local repo run the following command;

$ conda env create -f environment.yaml

You will need to activate the environment whenever you wish to run any of these modules. Use the following command;

$ conda activate sed_fit