Skip to content

qdhqf/mtpy-1

 
 

Repository files navigation

MTpy: A Python Toolbox for Magnetotelluric (MT) Data Processing, Analysis, Modelling and Visualization ==================================

Build Status Documentation Status

How to Cite

If you use this software in a scientific publication, we'd very much appreciate if you could cite one or both of the following papers:

  • Kirkby, A.L., Zhang, F., Peacock, J., Hassan, R., Duan, J., 2019. The MTPy software package for magnetotelluric data analysis and visualisation. Journal of Open Source Software, 4(37), 1358. https://doi.org/10.21105/joss.01358
  • Krieger, L., and Peacock, J., 2014. MTpy: A Python toolbox for magnetotellurics. Computers and Geosciences, 72, p167-175. https://doi.org/10.1016/j.cageo.2014.07.013

Overview

A Python Toolbox for Magnetotelluric (MT) Data Processing, Analysis, Modelling and Visualization

Note that this repository has superseded the geophysics/mtpy and GeoscienceAustralia/mtpy2

Contacts

System Requirements

  • Python 2.7
  • Python 3.6+

License

MTpy is licensed under the GPL version 3

The license agreement is contained in the repository and should be kept together with the code.

Conventions Used in the MTPy Software

  1. MTpy uses E- and B-fields (although the sensors may be confusingly named as H-sensors in EDI files)
  2. [E] = microvolts/meter (muV/m)
  3. [B] = nanotesla (nT)
  4. [Z] = [E]/[B] = km/s
  5. Apparent resistivty rho = 0.2 * T * ^2 (in Ohm m)
  6. Angles are given in degrees (mod 360)
  7. EDI files can contain data in Z- or rho/phi-form
  8. EDI files contain data from one station only
  9. Coordinates are handled in decimal degrees (converted when reading)
  10. Time stamps refer to UTC
  11. Internal coordinates: X = North-South, Y = East-West
  12. Rotations are interpreted clockwise (mathematically negative)
  13. 0 degrees azimuth = North

About

Python toolbox for standard Magnetotellurics (MT) data analytics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.6%
  • Other 0.4%