Skip to main content

CCFIT2 is a program for fitting AC and DC magnetisation data

Project description

ccfit2

ccfit2 is a package for working with magnetometry data, specifically those from AC susceptibility, DC decay, and DC Waveform measurements.

Although the main use of ccfit2 is to extract and later fit temperature/field dependent relaxation rate data from these experiments, the modular nature of ccfit2 means that the user is free to include any of ccfit2's functionality in their own work.

Documentation and Installation

To get started, head to the online documentation for ccfit2 here.

Developers

Install in editable mode by running

pip install -e .

in the repository HEAD.

Reference

We request that any data processed with ccfit2 is accompanied by the version number (obtained with pip show ccfit2) and both of the following citations

  1. William J. A. Blackmore, Gemma K. Gransbury, Peter Evans, Jon G. C. Kragskow, David P. Mills, and Nicholas F. Chilton. Characterisation of magnetic relaxation on extremely long timescales. Phys. Chem. Chem. Phys., 2023, 25, 16735-16744. URL: https://dx.doi.org/10.1039/d3cp01278f

  2. Daniel Reta and Nicholas F. Chilton. Uncertainty estimates for magnetic relaxation times and magnetic relaxation parameters. Phys. Chem. Chem. Phys., 2019, 21, 23567-23575. URL: https://dx.doi.org/10.1039/C9CP04301B

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

ccfit2-5.9.0.tar.gz (107.6 kB view details)

Uploaded Source

Built Distribution

ccfit2-5.9.0-py3-none-any.whl (112.0 kB view details)

Uploaded Python 3

File details

Details for the file ccfit2-5.9.0.tar.gz.

File metadata

  • Download URL: ccfit2-5.9.0.tar.gz
  • Upload date:
  • Size: 107.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for ccfit2-5.9.0.tar.gz
Algorithm Hash digest
SHA256 4f3b2fc0f41b14ce021074a2de947fb04baeea9c232349fca57e8432526b7fe2
MD5 319671e08c4c72033a5ba8a179303a48
BLAKE2b-256 0af549d7ccce4ec9dca58f7dbafc11df342b09b6fba2e0913287d3d9501db796

See more details on using hashes here.

File details

Details for the file ccfit2-5.9.0-py3-none-any.whl.

File metadata

  • Download URL: ccfit2-5.9.0-py3-none-any.whl
  • Upload date:
  • Size: 112.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for ccfit2-5.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1bca5ce830d5fb4308cacc6fb1212809159dceebefdc246c5875bf8a296dea2a
MD5 8d882e9b1237378059c5bde0ced35eca
BLAKE2b-256 0094d862acb91f060774e96931e134e2a24af5189a4993393e269ca533c75a16

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