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A map based packaged to analyze seimic network perfromance

Project description

magD

A routine for looking at magnitude detection thresholds using noise pdfs and the Brune model, written by Dan McNamara in C and ported to python

PyPI version Build Status

magD has been tested on python 3.6

MagD allows an end user to evaluate seismograph performance at the network level.

Client

An example client repo is at https://github.com/pnsn/magd_client refer to this repo for examples

Installation

pip install magD

Pofiles

Magnitude thresholds

Magnitude thresholds use noise PSD's from IRIS https://service.iris.edu/mustang/noise-psd/1/

The noise at the local station is used to determine the smallest magnitude it can detect for a given origin. For each origin(lat/lon) every station in the set in analyzed, the sorted by magnitude form smallest to highest. The origin is then contoured by the nth (num_stations) smallest magnitude.

Density

The station density is plotted for each origin and contours by distance to the nth (num_stas) closest station

Warning Time

The map is contoured by Alert time - S wave arrival time where alert time is p-wave arrival at nth station + processing time)

Blindzone

The size of the EEW blindzone for a given area

Project details


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Files for MagD, version 2.3
Filename, size File type Python version Upload date Hashes
Filename, size MagD-2.3-py3-none-any.whl (29.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size MagD-2.3.tar.gz (18.8 kB) File type Source Python version None Upload date Hashes View hashes

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