BAGLE 1.0.0

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

Clone the repo:

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

Install required modules:

 Before you can execute the tests, you will need to install the following modules:
  - pip3 install matplotlib
  - pip3 install numpy
  - pip3 install astropy
  - pip3 install pytest
  - pip3 install celerite
  - pip3 install ephem
  - pip3 install pymultinest
  
  The above commands can also be executed as:
  - python3 -m pip install <module name>

Run tests

 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

Tutorial

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