Metadata-Version: 2.0
Name: pybbfmr
Version: 0.2
Summary: UNKNOWN
Home-page: UNKNOWN
Author: Hannes Maier-Flaig
Author-email: hannes@maier-flaig.de
License: MIT
Description-Content-Type: UNKNOWN
Keywords: bbfmr broadband FMR ferromagnetic resonance magnon
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3
Requires-Dist: lmfit
Requires-Dist: matplotlib
Requires-Dist: nptdms
Requires-Dist: numpy

pybbfmr
=======

pybbfmr is a python package to load, process and model 
2D (field-frequency) broadband ferromagnetic resonance (bbfmr) measurements.


Usage
--------

The basic concept is to load the measurement data stored in the
binary NI-TDMS file format using one of the Measurement classes.
(The base Measurement class can also be fed directly with 2D 
data.) Several processing operations are included that can be 
applied to the data by using Measurement().add_operation().
The data can be plotted (using matplotlib) by using 
Measurement().plot().

Several lmfit models for fitting the data to bbFMR models
such as the Polder susceptibility and various damping and 
dispersion models.

Finally, a graphical user interface to visualize and process 
the 2D data using guidata and guiqwt is included.

See the data [1] of [2] for a usage example and for a detailed
description of the physics behind the modeling and the 
"derivative divide" processing method in particular. 


Requirements
------------

The following packages are required. (The versions in brackets are the tested 
versions. Other versions will probably work just as well):

  + Python (3.5.2)
  + lmfit (0.9.5)
  + matplotlib (1.5.3)
  + npTDMS (0.8.2)
  + numpy (1.11.2)
  + scipy (0.18.1)
  + guiqwt (3.0.3)
  + guidata (1.7.6)
  + pyqt (>4)


Contribute
-------------

Please use the issue tracker to report problems and suggest changes 
and new features. Get in touch if you want to know more about the 
package.


Contributors
------------

  + Hannes Maier-Flaig
  + Lukas Liensberger
  + Stefan Weichselbaumer


References
----------

  1. H. Maier-Flaig, "Analysis of broadband FMR in the frequency domain - dataset and reference implemenation of derivative divide," (2017), [https://osf.io/u27sf/...](https://osf.io/u27sf/?view_only=bc9d8bd783324875960eab1e0286e77a)
  2. Hannes Maier-Flaig, Sebastian T. B. Goennenwein, Ryo Ohshima, Masashi Shiraishi, Rudolf Gross, Hans Huebl: "Analysis of broadband ferromagnetic resonance in the frequency domain", 2017; [arXiv:1705.05694](http://arxiv.org/abs/1705.05694).


