Recent Releases of lmfitxps

lmfitxps - 4.1.2

What's Changed

  • More efficient shirley_calculate, option to define bounds by @fkraushofer in https://github.com/Julian-Hochhaus/lmfitxps/pull/22
  • Update citations.rst and LICENSE

New Contributors

  • @fkraushofer made their first contribution in https://github.com/Julian-Hochhaus/lmfitxps/pull/22

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/4.1.1...4.1.2

- Python
Published by github-actions[bot] 11 months ago

lmfitxps - 4.1.1: The Docs Update

Moves the now nearly finished documentation to the main branch. The documentation can be found here

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/4.0.9...4.1.1

- Python
Published by github-actions[bot] about 1 year ago

lmfitxps - https://github.com/Julian-Hochhaus/lmfitxps/releases/tag/4.1.0

- Python
Published by github-actions[bot] about 1 year ago

lmfitxps - https://github.com/Julian-Hochhaus/lmfitxps/releases/tag/4.0.9

- Python
Published by github-actions[bot] about 1 year ago

lmfitxps - 4.0.3

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/4.0.2...4.0.3

- Python
Published by Julian-Hochhaus about 1 year ago

lmfitxps - Release Version 4.0.2

Support for binding energy scale for all models was added. Please note: If you have previously worked with the package using the binding energy scale and made use of the Dublett model, the parameter soc, determining the distance between the centers of the two peaks has now changed. in contrast to before, the parameter is now always defined positive.

Small improvements and bug fixes: - improved calculation time in backgrounds by making use of the numpy cumulative sum function - fixing a small bug which increased calculation speed in the tougaard background, parameters which were intended to be ints were floats and comparison of two floats does not always result in agreement due to computational accuracy. This increased calculation time of TougaardBG and was fixed now - added several publications to the publications list

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/2.4.3...4.0.2

- Python
Published by Julian-Hochhaus about 1 year ago

lmfitxps - https://github.com/Julian-Hochhaus/lmfitxps/releases/tag/2.4.3

- Python
Published by github-actions[bot] over 1 year ago

lmfitxps - https://github.com/Julian-Hochhaus/lmfitxps/releases/tag/2.4.2

- Python
Published by github-actions[bot] over 1 year ago

lmfitxps - 2.4.1

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/2.4.0...2.4.1

- Python
Published by github-actions[bot] over 1 year ago

lmfitxps - 2.4.0

What's new?

  • binding energy scale is now supported by the Tougaard background model function

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/2.3.0...2.4.0

- Python
Published by github-actions[bot] over 1 year ago

lmfitxps - 2.3.0

Fixed some bugs in the released files

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/1.3.0...2.3.0

- Python
Published by github-actions[bot] over 1 year ago

lmfitxps - Release 1.3.1

What's Changed

  • First chapters of extensive documentation were written.

New Contributors

  • @Julian-Hochhaus made their first contribution in https://github.com/Julian-Hochhaus/lmfitxps/pull/1

Full Changelog: https://github.com/Julian-Hochhaus/lmfitxps/compare/1.1.0...1.3.1

- Python
Published by Julian-Hochhaus about 2 years ago

lmfitxps - Release of lmfitxps on pypi

This release is intended as initial release to create a DOI using zenodo.

Introduction

Welcome to lmfitxps, a small Python package designed as an extension for the popular lmfit package , specifically tailored for X-ray Photoelectron Spectroscopy (XPS) data analysis.

While lmfit provides simple tools to build complex fitting models for non-linear least-squares problems and applies these models to real data, as well as introduces several built-in models, lmfitxps acts as an extension to lmfit designed for XPS data analysis. lmfitxps provides a comprehensive set of functions and models that facilitate the fitting of XPS spectra. In particular, lmfitxps provides several models, which use the convolution of a gaussian with model functions of the lmfit-package.

In addition to models for fittig signals in XPS data, lmfitxps introduces several background models which can be included in the fit model for fitting the data rather then substracting a precalculated background. This is the so-called active approach as suggested by A. Herrera-Gomez and generally leads to better fit results. For further details, please refer to the documentation of lmfitxps and lmfit!

Installation

To install lmfitxps, simply use pip:

pip install lmfitxps


- Python
Published by Julian-Hochhaus over 2 years ago