KeplerGO/oktopus: First tentacle

oktopus includes the following: parameter estimation with built-in likelihood functions (Poisson, Gaussian, Multinomial, Laplace, and Multivariate Gaussian) using Maximum Likelihood Estimators parameter estimation with built-in and extern posterior distributions using Maximum A Posteriori Probability Estimators support for computation of uncertainties using Fisher Information Matrix L1 norm minimization with support for regularization terms support local and global optimizers (wrappers around scipy and scikit-optimize) oktopus has been applied in PSF photometry on data from NASA's Kepler and K2 missions. Check out http://pyke.keplerscience.org See the full documentation at: https://keplergo.github.io/oktopus/index.html

Related Organizations

National Aeronautics and Space Administration
United States

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