ScatterSim | Meso scale SAXS Powder Simulations

by CFN-softbio Python Version: Current License: Non-SPDX

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

kandi X-RAY | ScatterSim Summary

ScatterSim is a Python library. ScatterSim has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ScatterSim has a Non-SPDX License. You can download it from GitHub.

This library allows the prediction/simulation of the one-dimensional (circular average) x-ray scattering curves for nanoscale superlattices (i.e. crystalline nano/meso-structures). The code can also be used to fit experimental data (I(q) or S(q)). Created: March 8th, 2013 (original code) December 17th, 2016 (new version). Creator: Kevin G. Yager. Original Contributors: Kevin G. Yager and Yugang Zhang. Contributors to new code: Julien Lhermitte.

Support

Quality

Security

License

Reuse

Support

ScatterSim has a low active ecosystem.

It has 3 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ScatterSim is current.

Quality

ScatterSim has no bugs reported.

Security

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

License

ScatterSim has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Plot intensity data
Compute the structure factor
Iterate over the axis
Interpolate between two points
Compute the form factor squared
Compute the Alphas distribution
Compute the distribution of a uniform distribution
Generate a Gaussian distribution
Compute factor intensity intensity for a given list of angles
Generate a factor intensity intensity
Load intensity values from file
Generate the factor intensity intensity for a given q
Performs overlaid overlapped fits
Compute the structure factor based on q - value
Generate a factor intensity intensity intensity
Compute the projection of the mesh
Plot the intensity and compare_values
Calculate the square form of the form factor
Plot peaks of the lattice
Overlay plot_plot
R Calculate the velocity in the film
Generate compare plot
Compute the form factor of a particle
Iterate over hkl_1d
Iterate over hkl_1d
Calculate the volume in film
Plays overlays

Get all kandi verified functions for this library.

ScatterSim Key Features

No Key Features are available at this moment for ScatterSim.

ScatterSim Examples and Code Snippets

No Code Snippets are available at this moment for ScatterSim.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ScatterSim

You can download it from GitHub.
You can use ScatterSim 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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