exoplanet is a toolkit for probabilistic modeling of transit and/or radial velocity observations of exoplanets and other astronomical time series using PyMC3. 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 language to support many of the custom functions and distributions required when fitting exoplanet datasets. These features include:
All of these functions and distributions include methods for efficiently calculating their gradients so that they can be used with gradient-based inference methods like Hamiltonian Monte Carlo, No U-Turns Sampling, and variational inference. These methods tend to be more robust than the methods more commonly used in astronomy (like ensemble samplers and nested sampling) especially when the model has more than a few parameters. For many exoplanet applications, exoplanet (the code) can improve the typical performance by orders of magnitude.
exoplanet is being actively developed in a public repository on GitHub so if you have any trouble, open an issue there.
Note
Some tutorials have been moved to the case studies page.
Copyright 2018, 2019, 2020 Daniel Foreman-Mackey.
The source code is made available under the terms of the MIT license.
If you make use of this code, please cite this package and its dependencies. You can find more information about how and what to cite in the citation documentation.
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bls_estimator
for transit search using Astropy’s BoxLeastSquares
EclipsingBinaryLightCurve
for building binary star modelsDensityDist
implementation for celerite GP likelihoodsrebound
an optional dependencyConditionalMeanOp
and DotLOp
for scalable conditional mean calculation
and prior sampling with celeriteTTVOrbit
tutorialTTVOrbit
IntegratedTerm
modelTTVOrbit
models with large TTVsstarry
to get much better performance for high order spherical
harmonicsStarryLightCurve
to LimbDarkLightCurve
celerite
modelsAngle
distribution when the value of the angle
is well constrainedoptimize
function since the find_MAP
method
in PyMC3 is deprecatedPyMC3Sampler