Python Package for EELS (Electron Energy Loss Spectroscopy) Analysis
Project description
Spectrum-Image: Interactive Data Explorer for Spatial Spectroscopic Dataset
Spectrum-Image is Python packag for spectroscopic data, built with Jupter lab interactivity in mind, with minimal dependencies Most of code is written with EELS (Electron Energy Loss Spectroscopy) in mind, but is relevant for any highdimensional spectroscopic dataset.
Relevant techniques:
EELS (Electron Energy Loss Spectroscopy) RIXS (Resonant Inelastic Xray Scattering) Raman Spatial Mapping
Check out the notebook example (example_eels.ipynb) to get started.
Installation
pip install spectrum-image
Dependencies
matplotlib
jupyterlab
ipympl
scipy
tqdm
numpy
lmfit
Optional Dependencies for running example notebook
hyperspy
tifffile
Acknowledgements
Some functionalities (background subtraction, local background averaging) was copied from eels.py of https://github.com/paradimdata/Cornell_EM_SummerSchool_2021/tree/main/Tutorial%204%20-%20Spectroscopy
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file spectrum_image-0.1.4.tar.gz.
File metadata
- Download URL: spectrum_image-0.1.4.tar.gz
- Upload date:
- Size: 20.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 724eaaf384d47d80fcaf5fcf9c0245591a45d6a83a659389585ba3ab7dffb7fd |
|
| MD5 | e9e2984b141c0c2d3d58722812806dc6 |
|
| BLAKE2b-256 | a2540636bc5a150dfb8d9710c79ac1b0bffc86f977eccb7e9db59e7c486c42ef |
