BAGLE 1.0.1rc1

BAGLE (Bayesian Analysis of Gravitational Lensing Events) is a package to model and fit microlensing events.

BAGLE: Bayesian Analysis of Gravitational Lensing Events

BAGLE allows modeling of gravitational microlensing events both photometrically and astrometrically. Supported microlensing models include:

• PSPL: point-source, point-lens with (and without) parallax
• BSPL: binary-point-source, point-lens
• PSBL: point-source, binary-point-lens
• FSPL: finite-source, point-lens (minimal support... not well tested yet)

All models support fitting data with single or multi-band photometry only, astrometry only, or joint fitting of photometry and astrometry (recommended).

Documentation

The documentation to the BAGLE code can be found here

Installation Instructions

Install required modules:

Before you can use BAGLE, you will need to install the following modules:

pip install numpy
pip install astropy
pip install matplotlib 
pip install celerite 
pip install ephem
pip install pymultinest
pip install Pyerfa
pip install pytest 
pip install joblib

Install BAGLE from pip or conda (users) or GitHub (developers)

Preferred (on conda-forge):

conda install BAGLE

or

pip install BAGLE

or

git clone https://github.com/ninjab3381/BAGLE_Microlensing.git

Test your install by opening python and running:

import bagle

Tutorial

A Jupyter Notebook tutorial to see some examples of how to use the code can be found here

Developers

After installation of BAGLE source, navigate to the BAGLE_Microlensing folder:

cd BAGLE_Microlensing/      

Then run the tests using the following commands in the BAGLE_Microlensing folder:

python3 -m pytest tests

or you can run the testing scripts individually:

python3 -m pytest tests/test_model.py
python3 -m pytest tests/test_model_fitter.py
python3 -m pytest tests/testingmodels.py