exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Understand

"exoplanet" is a toolkit for probabilistic modeling of astronomical time series data, with a focus on observations of exoplanets, using PyMC3 (Salvatier et al., 2016).

• PyMC3 is a flexible and high-performance model-building language and inference engine that scales well to problems with a large number of parameters.
• "exoplanet" extends PyMC3's modeling language to support many of the custom functions and probability distributions required when fitting exoplanet datasets or other astronomical time series.
• While it has been used for other applications, such as the study of stellar variability, the primary purpose of "exoplanet" is the characterization of exoplanets or multiple star systems using time-series photometry, astrometry, and/or radial velocity.