Source code for openquake.hmtk.strain.strain_utils

# -*- coding: utf-8 -*-
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# D. Monelli.
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'''
Module :mod:`openquake.hmtk.strain.utils` holds a set of useful
utility functions for the strain rate model calculations
'''

import numpy as np
from math import exp


def moment_function(magnitude):
    '''
    Get moment (in Nm) from magnitude using Hanks & Kanamori (1979)

    :param float (or numpy.ndarray) magnitude:
        Magnitude of event
    :returns:
        Seismic Moment in Nm
    '''
    return 10. ** ((1.5 * magnitude) + 9.05)


def moment_magnitude_function(moment):
    '''
    For a given moment, get the moment magnitude using the formula
    of Hanks & Kanamori (1979)

    :param float or numpy.ndarray magnitude
        Seismic moment in Nm
    '''

    return (2. / 3.) * (np.log10(moment) - 9.05)


def calculate_taper_function(obs_threshold_moment, sel_threshold_moment,
                             corner_moment, beta):
    '''
    Calculates the tapering function of the tapered Gutenberg & Richter model:
    as described in Bird & Liu (2007)::

     taper_function = (M_0(M_T) / M_0(M_T^{CMT}))^-beta x exp((M_0(m_T^CMT) -
         M_0(m_T)) / M_0(m_c))

    :param numpy.ndarray obs_threshold_moment:
        Moment of the threshold magnitude of the observed earthquake catalogue
    :param numpy.ndarray sel_threshold_moment:
        Moment of the target magnitude
    :param float corner_momnet:
        Corner moment of the Tapered Gutenberg-Richter Function
    :param float beta:
        Beta value (b * ln(10.)) of the Tapered Gutenberg-Richter Function
    :returns:
        Relative moment rate
    '''
    argument = (obs_threshold_moment - sel_threshold_moment) /\
        corner_moment
    if argument < -100.0:
        g_function = 0.0
    else:
        g_function = ((sel_threshold_moment / obs_threshold_moment) **
                      -beta) * exp(argument)
    return g_function


def tapered_gutenberg_richter_cdf(moment, moment_threshold, beta,
                                  corner_moment):
    '''
    Tapered Gutenberg Richter Cumulative Density Function

    :param float or numpy.ndarray moment:
        Moment for calculation of rate

    :param float or numpy.ndarray moment_threshold:
        Threshold Moment of the distribution (moment rate essentially!)

    :param float beta:
        Beta value (b * ln(10.)) of the Tapered Gutenberg-Richter Function

    :param float corner_momnet:
        Corner moment of the Tapered Gutenberg-Richter Function

    :returns:
        Cumulative probability of moment release > moment


    '''
    cdf = np.exp((moment_threshold - moment) / corner_moment)
    return ((moment / moment_threshold) ** (-beta)) * cdf


def tapered_gutenberg_richter_pdf(moment, moment_threshold, beta,
                                  corner_moment):
    '''
    Tapered Gutenberg-Richter Probability Density Function

    :param float or numpy.ndarray moment:
        Moment for calculation of rate

    :param float or numpy.ndarray moment_threshold:
        Threshold Moment of the distribution (moment rate essentially!)

    :param float beta:
        Beta value (b * ln(10.)) of the Tapered Gutenberg-Richter Function

    :param float corner_momnet:
        Corner moment of the Tapered Gutenberg-Richter Function

    :returns:
        Absolute probability of moment release > moment
    '''
    return ((beta / moment + 1. / corner_moment) *
            tapered_gutenberg_richter_cdf(moment, moment_threshold, beta,
                                          corner_moment))