Metadata-Version: 2.1
Name: MagD
Version: 2.3
Summary: A map based packaged to analyze seimic network perfromance
Home-page: https://github.com/pnsn/magD
Author: Jon Connolly
Author-email: joncon@uw.edu
License: UNKNOWN
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](https://badge.fury.io/py/MagD.svg)](https://badge.fury.io/py/MagD)
        [![Build Status](https://travis-ci.org/travis-ci/travis-web.svg?branch=master)](https://travis-ci.org/travis-ci/travis-web)
        
        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
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
