SpectraFit Examples¶
This section provides practical examples to help you understand and use SpectraFit effectively for your spectroscopic data analysis.
Overview¶
The examples demonstrate various use cases and features of SpectraFit, from basic peak fitting to advanced applications. Each example includes detailed explanations, code snippets, and visualization of results.
Learning Path
Start with the basic examples and progress to more advanced topics. The examples build upon concepts introduced in earlier sections.
Command-Line Examples¶
Learn how to fit a single peak using the command-line interface.
Use different input file formats for your fitting parameters.
Handle complex spectra with multiple overlapping peaks.
Apply SpectraFit to experimental spectroscopic data.
Create custom expressions for specialized fitting needs.
Fit multiple datasets simultaneously with shared parameters.
Use automated approaches for initial parameter estimation.
Import and process data from Athena XAS software.
Jupyter Notebook Examples¶
Jupyter notebooks provide an interactive environment for SpectraFit, allowing real-time visualization and parameter adjustments.
Basic visualization of fitting results in a notebook.
Customize the appearance of your plots.
Save and export your fitting results in various formats.
Generate 2D maps from RIXS spectroscopy data.
Convert between different file formats programmatically.
Apply global fitting approaches to RIXS datasets.
Application Areas¶
These examples cover applications in various spectroscopic techniques:
- X-ray Absorption Spectroscopy (XAS)
- X-ray Emission Spectroscopy (XES)
- Resonant Inelastic X-ray Scattering (RIXS)
- Optical Spectroscopy
- Vibrational Spectroscopy
Next Steps¶
After exploring these examples, you may want to:
- Refer to the Documentation for deeper understanding
- Check the API Reference for programmatic usage
- Create your own fitting procedures based on these examples