Analysis of luminescence spectroscopy data with HyperSpy.

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  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: The LumiSpy developers
  • Tags CL, PL, EL, TRCL, TRPL, SEM, STEM, TEM, cathodoluminescence, photoluminescence, electroluminescence, Raman, curve fitting, electron microscopy, hyperspectral, hyperspectrum, hyperspy, luminescence spectroscopy, lumispy, machine learning, model, multidimensional, numpy, python, scipy, spectroscopy, spectrum image, time-resolved
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License: GPL v3 Python Version PyPi Version DOI

LumiSpy

LumiSpy is an extension Python package for multi-dimensional data analysis provided by the HyperSpy library. It is aimed at helping with the analysis of luminescence spectroscopy data (cathodoluminescence, photoluminescence, electroluminescence, Raman, SNOM).

If analysis using LumiSpy forms a part of published work please consider recognising the code development by citing the project using the Zenodo-DOI.

Instructions on how to install LumiSpy and get started: installation guide.

Tutorials and example workflows have been curated as a series of Jupyter notebooks that you can work through and modify to perform many common analyses. Simply:

  1. Download the lumispy_demos repository in your desired folder
  2. Load lumispy (as shown above)
  3. In Jupyter lab, navigate to the folder and start using the notebook

Everyone is welcome to contribute. Please read our contributing guidelines and get started!

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Avatar for ericpre from gravatar.com ericpre Avatar for jlaehne from gravatar.com jlaehne Avatar for jordiferrero from gravatar.com jordiferrero

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  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: The LumiSpy developers
  • Tags CL, PL, EL, TRCL, TRPL, SEM, STEM, TEM, cathodoluminescence, photoluminescence, electroluminescence, Raman, curve fitting, electron microscopy, hyperspectral, hyperspectrum, hyperspy, luminescence spectroscopy, lumispy, machine learning, model, multidimensional, numpy, python, scipy, spectroscopy, spectrum image, time-resolved
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