emsigma 0.1.9

spectral interpretation using gaussian mixtures and autoencoder

Description

Spectral Interpretation using Gaussian Mixtures and Autoencoder (SIGMA) is an open-source Python library for phase identification and spectrum analysis for energy dispersive x-ray spectroscopy (EDS) datasets. The library mainly builds on the Hyperspy, Pytorch, and Scikit-learn.

Try SIGMA with Colab:

Installation

1. Create a Python>=3.7.0 environment with conda:

conda create -n sigma python=3.7 anaconda
conda activate sigma

2. Install SIGMA with pip:

pip install emsigma

Check EDS dataset with GUI

An example of checking the EDS dataset and the sum spectrum.

Demo with Colab

Dimensionality reduction and clustering

An example of analysing the latent space using the graphical widget.

Demo with Colab

Factor analysis on cluster-wise spectra

A demo of acquiring Background-substracted spectrum using Factor Analysis (FA).

Demo with Colab