MagentroPy
References
Please cite the following in any published work that makes use of this package:
[1] J. D. Bocarsly et al., Phys. Rev. B 97, 100404(R) (2018)
[2] J. J. Stickel, Comput. Chem. Eng. 34, 467 (2010)
The first version of the magentropy code was included as supplementary
material in [1]. The Tikhonov regularization procedure was described
in [2] and was originally implemented by Stickel in the package
scikit.datasmooth.
Overview
MagentroPy provides a class, MagentroData,
that can be used to calculate magnetocaloric quantities from DC magnetization
data supplied as magnetic moment vs. temperature sweeps (monotonic) taken under
several different magnetic fields. The class is set up to work out-of-the-box
with .dat data files produced by a Quantum Design Vibrating Sample
Magnetometer or a
Quantum Design MPMS3 SQUID Magnetometer.
However, pandas.DataFrames or delimited files such as .csv
are also acceptable inputs.
View the documentation here.
Installation
Install MagentroPy with pip:
pip install magentropy
Or, with conda:
conda install -c conda-forge magentropy
License
This project is licensed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for magentropy 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| magentropy-0.1.6.tar.gz | 43.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| magentropy-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.0 kB
Release files / magentropy-0.1.6.tar.gz
| Download URL | magentropy-0.1.6.tar.gz |
|---|---|
| Size | 43.2 kB |
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Release files / magentropy-0.1.6-py3-none-any.whl
| Download URL | magentropy-0.1.6-py3-none-any.whl |
|---|---|
| Size | 47.8 kB |
| Tags | Python 3 |
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