https://github.com/cnpem/s4ci
S4CI - Sapucaia Software Solution for SAXS Customized Interface
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Repository
S4CI - Sapucaia Software Solution for SAXS Customized Interface
Basic Info
- Host: GitHub
- Owner: cnpem
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 105 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
S4CI - Sapucaia Software Solution for SAXS Customized Interface
Overview
S4CI (Sapucaia Software Solution for SAXS Customized Interface) is a software developed for Small-Angle X-ray Scattering (SAXS) data analysis on the Sapucaia beamline of the Sirius accelerator. This tool offers an graphical user interface for data manipulation, visualization, fitting, and interpretation.
Features
- Graphical User Interface (GUI): Built with PyQt, the interface allows for multi-tab navigation, providing real-time visualization and control over parameters with the use of sliders.
- Data Visualization: Displays scattering intensity as a function of the scattering vector.
- File Handling: Import and manage data files with tools for removing files and adjusting parameters.
- Data Fitting and Simulation: Uses fitting algorithms to model data based on form and structure factors.
- Advanced Customization: Enables parameter adjustments, selection of data ranges, and modification of visualization styles.
Requirements
The software was developed in Python and uses the following dependencies:
- Python = 3.10.11: Core programming language for the software.
- Matplotlib = 3.7.1: Library for data visualization and plotting.
- Lmfit = 1.2.1: Curve-fitting and parameter optimization tool.
- NumPy = 1.24.2: Library for numerical calculations and array handling.
- PyQt = 5.15.9: Framework for building the graphical interface.
- QtAwesome = 1.2.3: Extension for PyQt that allows the use of FontAwesome icons.
- SciPy = 1.10.1: Library for advanced mathematical functions and optimization.
Running the Graphical Interface
To launch the S4CI graphical interface, follow these steps:
Clone the repository: ```bash git clone
cd Set up the virtual environment: Create and activate the environment ```bash conda env create -f saxs-spu.yml conda activate saci-env
Run the program: ```bash python saxs_simulation.py
Owner
- Name: Brazilian Center for Research in Energy and Materials (CNPEM)
- Login: cnpem
- Kind: organization
- Location: Brazil
- Website: https://cnpem.br/
- Repositories: 1
- Profile: https://github.com/cnpem
GitHub Events
Total
- Member event: 1
- Push event: 1
- Create event: 2
Last Year
- Member event: 1
- Push event: 1
- Create event: 2
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0