Python package to generate and fit binary models to observables. Uses PHOEBE for generating observables (light curves, RVs) and SPISEA for generating stellar properties (e.g., masses, radii, bandpass luminosities). Provides classes for fitting observations using an MCMC sampler (e.g. emcee).
Observables that can be modeled and fit to observations include:
- Photometry (default set:
$K'$ - and$H$ -bands with the Keck II NIRC2 imager). - Radial velocities of both primary and secondary star.
Near-term to do features:
- Allow flexible combinations of photometric filters for fitting observables.