NamastePymc3 | An MCMC Analysis of Single Transiting Exoplanets with Pymc3
kandi X-RAY | NamastePymc3 Summary
kandi X-RAY | NamastePymc3 Summary
NamastePymc3 is a Jupyter Notebook library. NamastePymc3 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
NamastePymc3 is an update to my previous Namaste code using the "exoplanet" models of Dan Foreman-Mackey et al. This uses a PyMC3/Theano back-end, a differentiable Keplerian orbital model, and the Gaussian process modeling of Celerite to fit exoplanetary transits. Here we simply provide a pre-written "exoplanet" model specific to single transits, and plot/analyse the results. See Example.ipynb for an example of how to use it. If that doesn't render, try this nbviewer link. NamastePymc3 natively includes eccentricity and fits for period (rather than scaled transit velocity as before). The period prior can be applied according to your prefered index - P^-8/3 (as suggested by Kipping et al ), or the less-steep P^-5/3 (as used by Osborn et al 2016 and Sandford et al 2019). If stellar parameters are not given, Dan Huber's "Isoclassify" is required to estimate density given info scraped in the stellar module from Gaia, input catalogues, wide-field surveys, spectra, etc. A modified version is included. However, the "mesa.h5" file must be downloaded using wget in stellar/isoclassify.
NamastePymc3 is an update to my previous Namaste code using the "exoplanet" models of Dan Foreman-Mackey et al. This uses a PyMC3/Theano back-end, a differentiable Keplerian orbital model, and the Gaussian process modeling of Celerite to fit exoplanetary transits. Here we simply provide a pre-written "exoplanet" model specific to single transits, and plot/analyse the results. See Example.ipynb for an example of how to use it. If that doesn't render, try this nbviewer link. NamastePymc3 natively includes eccentricity and fits for period (rather than scaled transit velocity as before). The period prior can be applied according to your prefered index - P^-8/3 (as suggested by Kipping et al ), or the less-steep P^-5/3 (as used by Osborn et al 2016 and Sandford et al 2019). If stellar parameters are not given, Dan Huber's "Isoclassify" is required to estimate density given info scraped in the stellar module from Gaia, input catalogues, wide-field surveys, spectra, etc. A modified version is included. However, the "mesa.h5" file must be downloaded using wget in stellar/isoclassify.
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NamastePymc3 has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
NamastePymc3 has no issues reported. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of NamastePymc3 is current.
Quality
NamastePymc3 has no bugs reported.
Security
NamastePymc3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
NamastePymc3 is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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NamastePymc3 releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of NamastePymc3
NamastePymc3 Key Features
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NamastePymc3 Examples and Code Snippets
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You can download it from GitHub.
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