time_fn

Simulates the arrival time of p-waves (without noise) using a mean velocity and euclidian distance, without taking the curvature into account.

Implementation of an Event Categorization Matrix (ECM) detonation detection model and a Bayesian variant. Functions are provided for importing and exporting data, fitting models, and applying decision criteria for categorizing new events. This package implements methods described in the paper "Bayesian Event Categorization Matrix Approach for Nuclear Detonations" Koermer, Carmichael, and Williams (2024) available on arXiv at <doi:10.48550/arXiv.2409.18227>.

Scott Koermer

ezECM

Event Categorization Matrix Classification for Nuclear
Detonations

time_fn function

<dl><dt>X</dt>
<dd>numeric three element vector stipulating the location of a seismometer. Units of km</dd>
<dt>X0</dt>
<dd>numeric three element vector stipulating the location of an event. Units of km</dd>
<dt>V</dt>
<dd>numeric scalar supplying the p-wave velocity in km/s. A quick google search (Jan 31st 2023) shows typical values range from 5 to 8 km/s.</dd></dl>

Arguments

P-wave arrival times simulation — time_fn

<dl>

<dt>X</dt>
<dd>numeric three element vector stipulating the location of a seismometer. Units of km</dd>


<dt>X0</dt>
<dd>numeric three element vector stipulating the location of an event. Units of km</dd>


<dt>V</dt>
<dd>numeric scalar supplying the p-wave velocity in km/s. A quick google search (Jan 31st 2023) shows typical values range from 5 to 8 km/s.</dd>

</dl>

time_fn: P-wave arrival times simulation

Description

Usage

Value

Arguments

Details

Examples