Published December 6, 2017
| Version v0.1
Software
Open
KeplerGO/oktopus: First tentacle
Description
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
andscikit-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
Files
KeplerGO/oktopus-v0.1.zip
Files
(865.0 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/KeplerGO/oktopus/tree/v0.1 (URL)