synchrad | Synchrotron Radiation calculator via openCL

by hightower8083 Jupyter Notebook Version: Current License: GPL-3.0

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kandi X-RAY | synchrad Summary

synchrad is a Jupyter Notebook library. synchrad has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Tool to compute energy density of synchrotron radiation in the spectral volume using the Fourier transformed Lienard-Wiechert potentials (see eq. (14.65) of J.D.Jackson's Classical electrodynamics). This software processes the 3D (x, y, z, px, py, pz) trajectories of the charged point-like particles with weights, and maps the emittied energy to the 3D spectral domain (omega, theta, phi). The package also contains a number of convenience methods for pre- and post-proccessing.

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Support

synchrad has a low active ecosystem.

It has 12 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 6 have been closed. On average issues are closed in 145 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of synchrad is current.

Quality

synchrad has no bugs reported.

Security

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

License

synchrad is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

Installation instructions, examples and code snippets are available.

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synchrad Key Features

No Key Features are available at this moment for synchrad.

synchrad Examples and Code Snippets

No Code Snippets are available at this moment for synchrad.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install synchrad

Given that openCL and PyOpenCL are installed (e.g. via conda or pip) and configured on your machine, you can install SynchRad in a standard way, i.e. by cloning the source and running the setup.py script:. To be able to use the software with multiple GPU or CPU devices via MPI one should also install mpi4py. To output result in VTK format via exportToVTK method, the tvtk.api should be installed.

Support

This software is developed by Igor A Andriyash (igor.andriyash@gmail.com), and it is on the early stage of development. Everyone is welcome to contribute either by testing and benchmarking, or by introducing further optimizations and adding utility methods.

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