Skip to main content

A python package for modeling Schumann resonances

Project description

schupy -- A python package for modeling and analyzing Schumann resonances

schupy is an open-source python package aimed at modeling and analyzing Schumann resonances (SRs), the global electromagnetic resonances of the Earth-ionosphere cavity resonator in the lowest part of the extremely low frequency band (<100 Hz).

Usage

forward_tdte function

The forward_tdte function of schupy uses the analytical solution of the 2-D telegraph equation (TDTE) obtained for uniform cavity and is able to determine SRs generated by an arbitrary number of sources located in given positions and returns the theoretical power spectral density of the field components for an arbitrarily located observing station. The sources can be either pointsources or extended ones with a specified size.

The function takes the following arguments:

Name Type Description Unit Default value
s_lat LIST Geographical latitude(s) of the source(s) deg
s_lon LIST Geographical longitude(s) of the source(s) deg
s_int LIST Intensiti(es) of the source(s) C^2 km^2 s^-1
m_lat FLOAT Geographical latitude of the observing station deg
m_lon FLOAT Geographical longitude of the observing station deg
freq LIST Field components are calculated on these frequencies Hz
radius FLOAT Radius of the extended sources (0 in the case of pointsource(s)) Mm 0
n INT Maximal order of Legendre-polynomials to sum 500
mapshow BOOL Sets whether to show a map of the sources and the station or not False
mapsave BOOL Sets whether to save the map of the sources and the station or not False
mapfilename STR Name of the file to save the map into schupy_map.png
plotshow BOOL Sets whether to plot the power spectral densities or not False
Name Type Description Default value Possible values
h STRING Method of calculating complex ionospheric heights mushtak mushtak, kulak
ret STRING Returned field components all all, Er, Btheta, Bphi

By setting the radius value to any number grater than zero, the user can model extended sources with randomly distributed pointsources inside a circle having the given radius, whose intensities sum up to the given s_int.

By specifying h the user can choose the preferred method of calculating complex ionospheric heights. The two methods are described in: V. C. Mushtak and E. R. Williams (2002): Elf propagation parameters for uniform models of the earth-ionosphere waveguide, Journal of Atmospheric and Solar-Terrestrial Physics, 64. and in: A. Kulak and J. Mlynarczyk (2013): Elf propagation parameters for the ground-ionosphere waveguide with finite ground conductivity, IEEE Transactions on Antennas and Propagation, 61..

schupy can visualize the specified sources and observing station on a world map. The station is shown as a rectangle while the sources are indicated by circles whose sizes are proportional to their intensities. Visualization relies on the cartopy package: https://scitools.org.uk/cartopy/docs/latest/

The function plots and returns the following quantities at the location of the given observing station:

  • Er: the vertical component of the electric field
  • Btheta: the N-S component of the magnetic field measured by E-W orianted magnetic coils
  • Bphi: the E-W component of the magnetic field measured by N-S orianted magnetic coils

An exaple to how to run the function:

import schupy as sp
import numpy as np

source_latitudes = [10.0, 0.0, 0.0]
source_longitudes = [10.0, -80.0, 110.0]
source_intensities = [1e5, 8e4, 7e4]
frequencies = np.arange(5, 30, 0.1)
obs_latitude = 47.6
obs_longitude = 16.7

sp.forward_tdte(source_latitudes, source_longitudes, source_intensities, obs_latitude, obs_longitude, frequencies, h='mushtak', ret='Bphi', radius = 0, mapshow = False, mapsave = False, plotshow = True)

Acknowledgement

The schupy package is developed by G. Dálya, T. Bozóki, K. Kapás, J. Takátsy, E. Prácser and G. Sátori. Please send your questions and comments to dalyag@caesar.elte.hu. If you use the Schupy package for your research, please cite our paper:

@article{BOZOKI2019105144, title = "Modeling Schumann resonances with schupy", journal = "Journal of Atmospheric and Solar-Terrestrial Physics", volume = "196", pages = "105144", year = "2019", issn = "1364-6826", doi = "https://doi.org/10.1016/j.jastp.2019.105144", url = "http://www.sciencedirect.com/science/article/pii/S1364682619304134", author = "Tamás Bozóki and Ernő Prácser and Gabriella Sátori and Gergely Dálya and Kornél Kapás and János Takátsy", keywords = "Schumann resonances, Earth-ionosphere cavity, Numerical model, Python package", abstract = "Schupy is an open-source python package aimed at modeling and analyzing Schumann resonances (SRs), the global electromagnetic resonances of the Earth-ionosphere cavity resonator in the lowest part of the extremely low frequency band (<100 Hz). Its very-first function forward_tdte applies the solution of the 2-D telegraph equation introduced recently by Prácser et al. (2019) for a uniform cavity and is able to determine theoretical SR spectra for arbitrary source-observer configurations. It can be applied for both modeling extraordinarily large SR-transients or “background” SRs excited by incoherently superimposed lightning strokes within an extended source region. Three short studies are presented which might be important for SR related research. With the forward_tdte function our aim is to provide a medium complexity numerical background for the interpretation of SR observations. We would like to encourage the community to join our project in developing open-source analyzing capacities for SR research as part of the schupy package." }

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for schupy, version 1.0.11
Filename, size File type Python version Upload date Hashes
Filename, size schupy-1.0.11.tar.gz (7.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page