From 0a74d6a7ffc645cac46b445c23ac64cbc3cf0c4c Mon Sep 17 00:00:00 2001 From: Aron Mirwald Date: Wed, 26 Jun 2024 18:31:15 +0200 Subject: [PATCH] added a-value estimator. needs to be tested still --- seismostats/analysis/estimate_a.py | 64 ++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 seismostats/analysis/estimate_a.py diff --git a/seismostats/analysis/estimate_a.py b/seismostats/analysis/estimate_a.py new file mode 100644 index 0000000..71bde0c --- /dev/null +++ b/seismostats/analysis/estimate_a.py @@ -0,0 +1,64 @@ +"""This module contains functions for the estimation of a-value. +""" + +import numpy as np +import datetime as dt +import warnings + + +def estimate_a(magnitudes: np.ndarray, + mc: float | None = None, + m0: float | None = None, + b_value: float | None = None, + delta_T: dt.timedelta | None = None, + T: np.ndarray | None = None, + ) -> float: + """Estimate the a-value of the Gutenberg-Richter (GR) law. + N T/ delta_T = 10^(a - b * (m0 - mc)) (1) + where N is the number of events with magnitude greater than m0, T is the + time interval the magnitudes are observed, delta_T is the time interval + for the estimation of the a-value. + The original GR law was without the factor T/ delta_T - however, in many + contexts this has proven useful so that a-values for the same region can be + compared. + + Args: + magnitudes: Magnitude sample + mc: Completeness magnitude. If None, the lowest magnitude is + used as completeness magnitude. + m0: Magnitude for which the a-value is estimated. If None, the + a-value is estimated at mc. + b_value: b-value of the Gutenberg-Richter distribution + delta_T: Time interval for the estimation of the a-value. If None, + delta_T is set to the whole interval of the times. Often, delta_T + is set to 1 year. + T: Time interval the magnitudes are observed. Only needed if + delta_T is not None. + + Returns: + a: a-value of the Gutenberg-Richter distribution + """ + + if mc is None: + mc = magnitudes.min() + + if m0 is None: + m0 = mc + elif m0 != mc: + if b_value is None: + raise ValueError("b_value must be provided if m0 not equal to mc.") + + if magnitudes.min() < mc: + warnings.warn( + "Completeness magnitude is higher than the lowest magnitude." + "Cutting the magnitudes to the completeness magnitude.") + magnitudes = magnitudes[magnitudes >= mc] + + a = np.log10(len(magnitudes)) - b_value * (m0 - mc) + + if delta_T is not None: + if T is None: + raise ValueError("T must be provided if delta_T is given.") + a = a + np.log(delta_T / T) + + return a