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 links

Key dates

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Latest release

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for chiltron from gravatar.com chiltron Avatar for DanielReta from gravatar.com DanielReta Avatar for JonKragskow from gravatar.com JonKragskow
+1 more Avatar for nfchilton from gravatar.com nfchilton

License

GNU General Public License v3 (GPLv3)

Requires

Python >=3.12

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