BAGLE - Bayesian Analysis of Gravitational Lensing Events

BAGLE is a python package used to model gravitational microlensing events both photometrically and astrometrically. Supported microlensing models include:

• PSPL: point-source, point-lens with and without parallax

• PSBL: point-source, binary-lens

  • static lens secondary

  • moving lens secondary with linear, accelerating, circular, or elliptical orbital motion.

• BSPL: binary-source, point lens

  • static source secondary

  • moving source secondary with linear, accelerating, circular or elliptical orbital motion.

• BSBL: binary-source, binary lens

  • static lens and source secondary

  • moving source or lens secondary with linear, accelerating, circular or elliptical orbital motion.

• FSPL: finite-source, point-lens

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

• Installation
  • Conda - Recommended
  • PIP
  • From source
• Getting Started Tutorials
  • Using BAGLE
  • Making a PSPL Model with No Parallax
  • Making a PSPL Model with Parallax
  • Advanced Astrometric Plots
• Using BAGLE Models
  • Overview of bagle.model
  • Example: A Microlens Model Event
  • List of Available Models
  • For Developers
  • Class Families
• Fitting Models to Data
  • MicrolensSolver
  • Prior Generators
  • GENERAL USE AND SHARED FUNCTIONS
• Making Your Own Microlens Models
  • Class Families
• API Documentation
  • Point-Source Point-Lens (PSPL) Implementation
  • Binary Source Point Lens (BSPL) Implementation
  • Point Source Binary Lens (PSBL) Implementation
  • Binary Source Binary Lens (BSBL) Implementation
  • Finite-Source Point Lens (FSPL) Models
  • Data Utilities
  • General conventions between the codes:
• Contributors and Citations