SLITronomy-papers | Notebooks to generate figures of SLITronomy-related papers
kandi X-RAY | SLITronomy-papers Summary
kandi X-RAY | SLITronomy-papers Summary
SLITronomy-papers is a Jupyter Notebook library typically used in Ethereum, Latex applications. SLITronomy-papers has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Notebooks to generate figures of SLITronomy-related papers
Notebooks to generate figures of SLITronomy-related papers
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Quality
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Support
SLITronomy-papers has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
SLITronomy-papers has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SLITronomy-papers is current.
Quality
SLITronomy-papers has no bugs reported.
Security
SLITronomy-papers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SLITronomy-papers does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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SLITronomy-papers 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 SLITronomy-papers
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of SLITronomy-papers
SLITronomy-papers Key Features
No Key Features are available at this moment for SLITronomy-papers.
SLITronomy-papers Examples and Code Snippets
No Code Snippets are available at this moment for SLITronomy-papers.
Community Discussions
No Community Discussions are available at this moment for SLITronomy-papers.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SLITronomy-papers
You can download it from GitHub.
Support
Joint source reconstruction and lens model posterior inference from mock HST data. The posterior sampling is performed through MCMC capabilities of lenstronomy, and marginalised over choices of the source pixel size.
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