Skip to main content

This package contains additional models for the lmfit package for fitting XPS spectra.

Project description

lmfitxps

version= This package contains additional models for the lmfit package. The models are designed for fitting XPS spectra.

This package contains background models such as Shirley, Tougaard and Slope background as well as peak models such as convoluted Gaussian/Doniach-Sunjic models. In addition, a convolution of a thermal distribution with a Gaussian is provided for fitting the fermi edge.

The models are based on the lmfit package and can be used in the same way as the models from lmfit.

For more details, see the documentation.

Feel free to contribute to this package by adding new models or improving existing ones.

Visit on GitHub: lmfit-additional-models

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lmfitxps-1.1.0.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

lmfitxps-1.1.0-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file lmfitxps-1.1.0.tar.gz.

File metadata

  • Download URL: lmfitxps-1.1.0.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for lmfitxps-1.1.0.tar.gz
Algorithm Hash digest
SHA256 c5ec8255fbe7344f664bd1515bd86352ce68a6fa1d8b64ae059c0fb0768207bc
MD5 3d303787ce0bbba3fa3d5f575d6ce60a
BLAKE2b-256 543085fb496bb7c0de128ab47ffc83d4b548b031a75b53d724ea0bd1248ec058

See more details on using hashes here.

File details

Details for the file lmfitxps-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: lmfitxps-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for lmfitxps-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2132ec5657bc105fdb3c5c5bc235a9713bb84084cf19679be300eac59a240457
MD5 330ce4191adbd38c5b3afe406293f972
BLAKE2b-256 a0d10d6723b0b9035714eaf0f0bf19450fbcecde33abd8c7356c358f3d183f01

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page