BAGLE Web Application

This is a web application designed to showcase the photometry and astrometry of most of the models from the dev-branch of BAGLE. It is coded entirely in Python through the use of Panel.

Recommended Installation Instructions

1) Create a New Python Environment

This environment must use Python >= 3.10.

Additionally, if you are using MacOS, there should be extra caution for the platform of the environment. Although the BAGLE Calculator will work perfectly fine with osx-arm64, you will not be able to use the BAGLE model fitter in its entirety. If you plan on using the latter, set the platform to osx-64 instead.

2) Clone the BAGLE_Microlensing Repo (Dev branch)

The BAGLE_Microlensing repository can be found here: BAGLE GitHub. Please make sure you clone the dev branch like so:

git clone -b dev https://github.com/MovingUniverseLab/BAGLE_Microlensing.git

3) Install Python Packages for BAGLE_Microlensing

Navigate to the cloned BAGLE_Microlensing directory. If your environment platform is not osx-arm64, you should be able to simply run one of the following commands:

# For pip:
pip install -r requirements.txt

# For conda/mamba:
conda install -y -c conda-forge --file requirements.txt

Otherwise, you will need to remove or comment out pymultinest from the requirements.txt before running the command. This is because multinest is not supported in osx-arm64.

4) Using BAGLE as a Python Package

Still in the BAGLE_Microlensing directory, navigate into the src directory and get its absolute path with pwd. Navigate to your .bashrc, .bash_profile, or .zshrc file (depending on what you use) and add

export PYTHONPATH=$PYTHONPATH:PATHTOBAGLE

where PATHTOBAGLE is the absolute path obtained from pwd.

5) Clone the BAGLE_WebApp Repo

git clone https://github.com/MovingUniverseLab/BAGLE_WebApp.git

6) Install Python Packages for BAGLE_WebApp

Navigate to the cloned BAGLE_WebApp directory and run one of the commands in 3). Done!

Running the Application

While in the BAGLE_WebApp directory, the web application can be ran locally with

panel serve app.py