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        "author": "Jon Connolly",
        "author_email": "joncon@uw.edu",
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        "description": "# magD\nA routine for looking at magnitude detection thresholds using noise pdfs and\nthe Brune model, written by Dan McNamara in C and ported to python\n\n[![PyPI version](https://badge.fury.io/py/MagD.svg)](https://badge.fury.io/py/MagD)\n[![Build Status](https://travis-ci.org/travis-ci/travis-web.svg?branch=master)](https://travis-ci.org/travis-ci/travis-web)\n\nmagD has been tested on python 3.6\n\nMagD allows an end user to evaluate seismograph performance at the network level.\n\n## Client\n\nAn example client repo is at https://github.com/pnsn/magd_client refer to this repo for examples\n\n\n## Installation\npip install magD\n\n\n## Pofiles\n### Magnitude thresholds\nMagnitude thresholds use noise PSD's from IRIS https://service.iris.edu/mustang/noise-psd/1/\n\nThe 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.\n\n### Density\nThe station density is plotted for each origin and contours by distance to the nth (num_stas) closest station\n\n### Warning Time\nThe map is contoured by Alert time - S wave arrival time where alert time is p-wave arrival at nth station + processing time)\n\n### Blindzone \nThe size of the EEW blindzone for a given area\n\n\n\n\n",
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