SLITronomy | Updated version of the Sparse Lens Inversion Technique

by aymgal Python Version: 0.3.3 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | SLITronomy Summary

SLITronomy is a Python library. SLITronomy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install SLITronomy' or download it from GitHub, PyPI.

Updated version of the Sparse Lens Inversion Technique (SLIT) for use within the lens modelling code lenstronomy

Support

Quality

Security

License

Reuse

Support

SLITronomy has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SLITronomy is 0.3.3

Quality

SLITronomy has no bugs reported.

Security

SLITronomy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SLITronomy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

SLITronomy releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed SLITronomy and discovered the below as its top functions. This is intended to give you an instant insight into SLITronomy implemented functionality, and help decide if they suit your requirements.

Solve the model
Return the flux of a source_2d image
Convert source grid to image
Convert source plane to image coordinates
Generate image source mask
Invert a mask
Create a circular mask
Gets the mask
Solve point source model
Computes the gradient loss of source_loss
The point source source source mask
Estimate the threshold source of the source plane
Apply proximal operator to an image
Proximal operator for proximal wavelets
Proximal operator
Plot the results of the solver
Prepare the color norm
Draw a colorbar with resampled values
Create a matplotlib colorbar
Estimate the best fit squared error
List of spectral normal norm lengths
Returns the spectral normalization source
Creates a nice colorbar
Calculate chi2
Prepare image data
Solve the cost function

Get all kandi verified functions for this library.

SLITronomy Key Features

No Key Features are available at this moment for SLITronomy.

SLITronomy Examples and Code Snippets

No Code Snippets are available at this moment for SLITronomy.

Community Discussions

No Community Discussions are available at this moment for SLITronomy.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SLITronomy

You can install using 'pip install SLITronomy' or download it from GitHub, PyPI.
You can use SLITronomy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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