Metadata-Version: 2.1
Name: sigmt
Version: 2.1.4
Summary: A tool for magnetotelluric time series processing
Home-page: https://github.com/ajithabhks/sigmt
Author: Ajithabh K.S.
Author-email: ajithabhks@gmail.com
License: GPL
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: h5py
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pyyaml
Requires-Dist: PyQt5
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: setuptools>=64.0.0
Requires-Dist: xarray

[![PyPI version](https://img.shields.io/pypi/v/sigmt)](https://pypi.org/project/sigmt/)

# SigMT: An open-source python package for magnetotelluric data processing

SigMT is a python package designed for the processing of the raw magnetotelluric (MT) data to obtain the MT impedance and tipper estimates. It works in an automated way, so that manual time series inspection and editing are not required. Mahalanobis based data selection tool is implemented in the package to avoid the manual editing of time series. The final impedance estimation is done using the robust estimation method. Different data selection tools such as coherency threshold, polarization direction are included in this package.

## How to install
Please note that SigMT currently supports only Metronix data format (.ats).

Open anaconda prompt and type:

```
pip install sigmt
```

After installation, type:

```
sigmt
```

## How to cite
If you use SigMT for publication, please cite the following paper:

Ajithabh, K.S., Patro, P.K., 2023. SigMT: An open-source Python package for magnetotelluric data processing. Computers & Geosciences, 171, 105270. https://doi.org/10.1016/j.cageo.2022.105270

## Issues
If you have any questions, feedback, or suggestions regarding SigMT, feel free to open an issue.

## Downloads
* Read user guide: https://github.com/ajithabhks/sigmt/blob/main/docs/user_guide_sigmt.ipynb
* Metronix test data link: https://cloud.geo-metronix.de/s/GcigJA3Zp8zTAif

  Download Northern_Mining.zip, use SarÄ±Ã§am site in the ts folder.

## Contact details
* K. S. Ajithabh

  `Email:` ajithabhks@gmail.com


