Merge remote-tracking branch 'upstream/master'

shakyground2/earthquake.py

@@ -2,12 +2,13 @@
 Contains the core classes to represent an earthquake
 """
 import datetime
-from typing import Tuple
+from typing import Tuple, Optional, List
 from math import radians, sin, tan
 from openquake.hazardlib.geo import Point, PlanarSurface
 from openquake.hazardlib.geo.surface.base import BaseSurface
 from openquake.hazardlib.source.rupture import ParametricProbabilisticRupture
 from shakyground2 import valid
+from shakyground2.rupture_mechanism import RuptureMechanism
 
 
 class Earthquake(object):
@@ -28,6 +29,9 @@ class Earthquake(object):
             Earthquake latitude in decimal degrees (-90, to 90)
         depth:
             Hypocentral depth (in km)
+        hypocenter:
+            Representation of the hypocenter as an instance of
+            :class:`openquake.hazardlib.geo.Point`
         mag:
             Earthquake magnitude
         strike:
@@ -63,14 +67,15 @@ class Earthquake(object):
         lat,
         hypo_depth,
         magnitude,
-        strike=0.0,
-        dip=90.0,
-        rake=0.0,
+        strike=None,
+        dip=None,
+        rake=None,
         aspect=1.0,
         mag_scaling_relation=None,
         upper_seismogenic_depth=0.0,
         lower_seismogenic_depth=1000.0,
         surface=None,
+        focal_mechanism=None,
         hypocenter_position=(0.5, 0.5),
         date=None,
         time=None,
@@ -121,6 +126,7 @@ class Earthquake(object):
         self.lon = valid.longitude(lon)
         self.lat = valid.latitude(lat)
         self.depth = valid.positive_float(hypo_depth, "hypocentre depth")
+        self.hypocenter = Point(self.lon, self.lat, self.depth)
         self.mag = magnitude
         self.strike = valid.strike(strike)
         self.dip = valid.dip(dip)
@@ -138,8 +144,41 @@ class Earthquake(object):
         self.time = time
         assert isinstance(surface, BaseSurface) or surface is None
         self.surface = surface
+        if self.surface:
+            # Can calculate rupture dimensions from the surface
+            self.area = self.surface.get_area()
+            self.width = self.surface.get_width()
+            self.length = self.area / self.width
+        else:
+            # Default rupture dimensions to none to none
+            self.area = self.width = self.length = None
         self.hypo_pos = valid.hypocenter_position(hypocenter_position)
         self._rupture = None
+        # Get a valid focal mechanism with two nodal planes
+        self.focal_mechanism = valid.focal_mechanism(focal_mechanism)
+        self.mechanism = self._get_mechanism()
+        self.tectonic_region = None
+
+    def _get_mechanism(self):
+        """
+        Defines the focal mechanism according to three different cases:
+        1. A unique mechanism is defined explicitly from the strike, dip and rake
+        2. A pair of equiprobable mechanisms is defined from the focal mechanism
+        3. No mechanism is defined, in which case a global distribution is assumed
+
+        Returns:
+            Mechanism distribution as an instance of the
+            :class:`shakyground2.rupture_mechanism.RuptureMechanism`
+        """
+        if (self.strike is not None) and (self.dip is not None) and (self.rake is not None):
+            # Fixed and fully defined rupture mechanism
+            return RuptureMechanism.from_strike_dip_rake(self.strike, self.dip, self.rake)
+        elif self.focal_mechanism:
+            # Rupture mechanism defines from nodal planes
+            return RuptureMechanism.from_focal_mechanism(self.focal_mechanism)
+        else:
+            # Global distribution
+            return RuptureMechanism()
 
     def __repr__(self):
         # Returns a summary string of the event, with datetime if specified
@@ -156,6 +195,34 @@ class Earthquake(object):
                 self.id, self.lon, self.lat, self.depth, self.mag
             )
 
+    def get_maximum_distance_bbox(self, max_distance: Optional[float] = None) -> List:
+        """
+        Defines a bounding box around the event up to a maximum distance.
+
+        Args:
+            max_distance: Maximum horizontal and vertical distance from the epicentre for the
+                          bounding box to be defined. If None then a default bounding box
+                          size is determined that is based on magnitude between Mw 3.0 (100 km)
+                          and Mw 8.0 (1000 km)
+        Returns:
+            Bounding box as a list of [llon, llat, ulon, ulat]
+        """
+        if not max_distance:
+            # Scale from 100 km (for Mw 3 or less) to 1000 km for Mw >= 8.0
+            if self.mag <= 3.0:
+                max_distance = 100.0
+            elif self.mag >= 8.0:
+                max_distance = 1000.0
+            else:
+                # Interpolate
+                max_distance = 100.0 + (self.mag - 3.0) * (900.0 / 5.0)
+        # Define the bounding box from the specified maximum distance
+        north = self.hypocenter.point_at(max_distance, 0.0, 0.0)
+        south = self.hypocenter.point_at(max_distance, 0.0, 180.0)
+        east = self.hypocenter.point_at(max_distance, 0.0, 90.0)
+        west = self.hypocenter.point_at(max_distance, 0.0, 270.0)
+        return [west.longitude, south.latitude, east.longitude, north.latitude]
+
     @property
     def rupture(self):
         """
@@ -172,27 +239,6 @@ class Earthquake(object):
                 self.mag, self.rake, None, centroid, self.surface, 1.0, None
             )
             return self._rupture
-        # Rupture is not defined, so needs to be constructed. Use simple case for now
-        # TODO To be replaced by the synthetic rupture generator operation
-        thickness = self.lsd - self.usd
-        # Get rupture dimensions
-        area, length, width = self.mag_scale_rel.get_rupture_dimensions(
-            self.mag, aspect=self.aspect, dip=self.dip, thickness=thickness
-        )
-        # Build the rupture surface
-        surface = self.build_planar_surface(
-            centroid,
-            self.strike,
-            self.dip,
-            length,
-            width,
-            self.lsd,
-            self.usd,
-            self.hypo_pos,
-        )
-        self._rupture = ParametricProbabilisticRupture(
-            self.mag, self.rake, None, centroid, surface, 1.0, None
-        )
         return self._rupture
 
     @staticmethod

shakyground2/rupture_mechanism.py

@@ -4,7 +4,7 @@ Class to manage the distribution of rupture mechanisms
 from __future__ import annotations
 import numpy as np
 from enum import Enum
-from typing import Optional, Dict, Tuple
+from typing import Optional, Dict, Tuple, List
 from openquake.hazardlib.geo import NodalPlane
 from openquake.hazardlib.pmf import PMF
 from shakyground2 import valid
@@ -56,6 +56,10 @@ class RuptureMechanism(object):
         for prob, nodal_plane in self.mechanism.data:
             yield prob, nodal_plane
 
+    def __len__(self):
+        # Lenth corresponds to the number of mechanisms in the distribution
+        return len(self.mechanism.data)
+
     def sample(self, nsamples: int) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
         """
         Samples the focal mechanism distribution to return "nsamples" strike,
@@ -100,30 +104,48 @@ class RuptureMechanism(object):
         )
 
     @classmethod
-    def from_nodal_planes(cls, nodal_plane_1: Dict, nodal_plane_2: Dict) -> RuptureMechanism:
+    def from_focal_mechanism(cls, focal_mechanism: Dict) -> RuptureMechanism:
         """
-        Constructs the rupture mechanism distribution from either one single
-        valid rupture plane or two valud nodal planes
+        Constructs the focal mechanism from an evenly pair of nodal planes such as that
+        of a focal mechanism
 
         Args:
-            nodal_plane_1: Dictionary containing strike, dip and rake of the first nodel plane
-            nodal_plane_1: Dictionary containing strike, dip and rake of the second nodel plane
+            focal_mechanism: Dictionary containing two :class:
+            `openquake.hazardlib.geo.NodalPlane` objects, each labeled as "nodal_plane_1"
+            and "nodal_plane_2"
         """
-        strike_1 = valid.strike(nodal_plane_1["strike"])
-        dip_1 = valid.dip(nodal_plane_1["dip"])
-        rake_1 = valid.rake(nodal_plane_1["rake"])
-        strike_2 = valid.strike(nodal_plane_2["strike"])
-        dip_2 = valid.dip(nodal_plane_2["dip"])
-        rake_2 = valid.rake(nodal_plane_2["rake"])
         return cls(
             PMF(
                 [
-                    (0.5, NodalPlane(strike_1, dip_1, rake_1)),
-                    (0.5, NodalPlane(strike_2, dip_2, rake_2)),
+                    (0.5, focal_mechanism["nodal_plane_1"]),
+                    (0.5, focal_mechanism["nodal_plane_2"]),
                 ]
             )
         )
 
+    @classmethod
+    def from_nodal_planes(cls, nodal_planes: List, probabilities: List) -> RuptureMechanism:
+        """
+        Constructs the rupture mechanism distribution from a list of nodal planes and their
+        associated probabilities
+
+        Args:
+            nodal_planes: Set of nodal planes as a list of dictionaries, eac containing strike,
+                          dip and rake
+            probabilities: List of probabilities of the nodal planes (must sum to 1)
+        """
+        assert len(nodal_planes) == len(
+            probabilities
+        ), "Number of nodal planes not equal to number of probabilities"
+        assert np.isclose(
+            sum(probabilities), 1.0
+        ), "Probabilities do not sum to 1.0 (sum = %.6f)" % sum(probabilities)
+        mechanism_distribution = []
+        for prob, npl in zip(probabilities, nodal_planes):
+            mechanism = valid.mechanism(npl["strike"], npl["dip"], npl["rake"])
+            mechanism_distribution.append((prob, mechanism))
+        return cls(PMF(mechanism_distribution))
+
     @staticmethod
     def build_mechanism_distribution(
         strike: Optional[float] = None,

shakyground2/shakemap.py

+"""
+Implements the core shakemap class
+"""
+import h5py
+import numpy as np
+import warnings
+from typing import Dict, Optional, Tuple, List
+from openquake.hazardlib import const, imt
+from openquake.hazardlib.contexts import ContextMaker
+from shakyground2 import valid
+from shakyground2.earthquake import Earthquake
+from shakyground2.site_model import SiteModel
+from shakyground2.synthetic_rupture_generator import FiniteRuptureSampler
+
+
+class Shakemap(object):
+    """
+    The core class for calculating shakemaps. The general workflow contained within
+    takes the input earthquake and site model in order to build the source, path and site
+    context objects (i.e. containers that hold the data needed for the ground motion models).
+
+    The contexts objects are built upon instantiation of the shakemap class to avoid
+    recalculation if further shakemaps are needed.
+
+    The Shakemap class also caches the information into an hdf5 binary object, if desired by
+    the user. This means that the shakemap information for an earthquake ccould be retrieved at
+    a later time without the need for recalculation.
+    """
+
+    def __init__(
+        self,
+        earthquake: Earthquake,
+        site_model: SiteModel,
+        ground_motion_model: Dict,
+        tectonic_region: str,
+        cache_file: Optional[str] = None,
+        num_rupture_samples: int = 100,
+        rdim: float = 0.0,
+        synth_dist_weights: List = [0.25, 0.25, 0.25, 0.25],
+        synthetic_rupture_max_site_distance: float = 200.0,
+        synthetic_rupture_site_spacing: float = 0.05,
+    ):
+        """
+        Args:
+            earthquake:
+                Earthquake as an instance of the :class:shakyground2.earthquake.Earthquake
+            site_model:
+                Target sites used for calculation of the ground motion values, as instances of
+                :class:shakyground2.site_model.SiteModel
+            ground_motion_model:
+                Set of ground motion models and their respective weights as a dictionary
+                {"GMMs": [...], "weights": [...]}
+            tectonic_region:
+                Tectonic region to which the earthquake is assigned
+            cache_file:
+                Path to the hdf5 file for caching the results. It does not need to exist
+                but if the hdf5 file exists and contains an instance of the same event
+                (according to the earthquake.id) then the user will be warned here and the
+                existing shakemaps for that earthquake ID subsequently overwitten if the
+                user persists to implement the shakemap.
+            num_rupture_samples:
+                In the likely case that no rupture surface is available for the earthquake,
+                one will be generated by the :class:`shakyground2.synthetic_rupture_generator.
+                FiniteRuptureSampler`. This controls the number of samples to be used
+            rdim:
+                Exponent of the distance-dependent site weighing adopted by the :class:
+                `shakyground2.synthetic_rupture_generator.FiniteRuptureSampler`
+
+            synth_dist_weights: Can adjust the weight assigned to the different distance
+                                metrics used by the FiniteRuptureSampler
+            synthetic_rupture max_site_distance: In the case that the target sites for the
+                                                 FiniteRuptureSampler need to be built from the
+                                                 bounding box, this defines the maximum
+                                                 distances of the target sites to define the
+                                                 bounding box
+            synthetic_rupture_site_spacing: In the case that the target sites for the
+                                            FiniteRuptureSampler need to be built from the
+                                            bounding box, this defines the site spacing of the
+                                            sites
+        """
+        self.earthquake = earthquake
+        self.site_model = site_model
+        self.tectonic_region = tectonic_region
+        self.ground_motion_model = ground_motion_model
+        self.num_rupture_samples = num_rupture_samples
+        self.rdim = rdim
+        self.synthetic_rupture_distance_weights = synth_dist_weights
+        if cache_file:
+            self.caching = True
+            self.cache_file = cache_file
+            # Check if the earthquake is cleady in the case and warn the user if so
+            fle = h5py.File(self.cache_file, "a")
+            if earthquake.id in list(fle):
+                warnings.warn(
+                    "Earthquake %s already in cache file %s - "
+                    "Running the shakemaps will overwrite this"
+                    % (self.earthquake.id, self.cache_file)
+                )
+            fle.close()
+        else:
+            self.caching = False
+            self.cache_file = None
+        self.rctx = None
+        self.dctx = None
+        self.sctx = None
+        self.synth_rupture_max_site_dist = valid.positive_float(
+            synthetic_rupture_max_site_distance, "Max. Synthetic Rupture Site Distance"
+        )
+        self.synth_rupture_site_spacing = valid.positive_float(
+            synthetic_rupture_site_spacing, "Synthetic Rupture Site Spacing"
+        )
+        self._build_contexts()
+
+    def _build_contexts(self):
+        """
+        Construct the rupture, site and distances contexts from the earthquake, site and
+        ground motion models
+        """
+        cmaker = ContextMaker(self.tectonic_region, self.ground_motion_model["GMMs"])
+
+        if not self.earthquake.rupture:
+            # Use the finite rupture sampler to generate the rupture and corresponding
+            # distances from the available information
+            self.earthquake._rupture = FiniteRuptureSampler().get_finite_rupture(
+                self.num_rupture_samples,
+                self.earthquake,
+                rdim=self.rdim,
+                weights=self.synthetic_rupture_distance_weights,
+                maximum_site_distance=self.synth_rupture_max_site_dist,
+                site_spacing=self.synth_rupture_site_spacing,
+            )[0]
+        # For the sites and rupture context we can use the context maker to get all of the
+        # source, site and rupture distances
+        self.rctx, self.sctx, self.dctx = cmaker.make_contexts(
+            self.site_model.get_site_collection(), self.earthquake.rupture
+        )
+
+    def _cache_contexts(self, grp: h5py.Group):
+        """
+        If caching the shakemaps, then this stores the context information to the file
+        """
+        # Add the contexts to the group object
+        ctxt = grp.create_group("contexts")
+        rup_ctxt = ctxt.create_group("rupture")
+        dist_ctxt = ctxt.create_group("distances")
+        for gmm in self.ground_motion_model["GMMs"]:
+            for rup_attr in gmm.REQUIRES_RUPTURE_PARAMETERS:
+                if rup_attr not in rup_ctxt.attrs:
+                    rup_ctxt.attrs[rup_attr] = getattr(self.rctx, rup_attr)
+            for attr in gmm.REQUIRES_DISTANCES:
+                if attr not in list(dist_ctxt):
+                    distance = getattr(self.dctx, attr)
+                    dist_dset = dist_ctxt.create_dataset(attr, distance.shape, dtype="f")
+                    dist_dset[:] = distance
+        site_ctxt = ctxt.create_dataset(
+            "sites", self.site_model.site_array.shape, dtype=self.site_model.site_array.dtype
+        )
+        site_ctxt[:] = self.site_model.site_array
+        if self.site_model.bbox_properties:
+            # If the site model has bounding box properties then store these
+            # as attributes
+            site_ctxt.attrs["has_bbox"] = True
+            site_ctxt.attrs["llon"] = self.site_model.bbox_properties["bbox"][0]
+            site_ctxt.attrs["llat"] = self.site_model.bbox_properties["bbox"][1]
+            site_ctxt.attrs["ulon"] = self.site_model.bbox_properties["bbox"][2]
+            site_ctxt.attrs["ulat"] = self.site_model.bbox_properties["bbox"][3]
+            site_ctxt.attrs["spcx"] = self.site_model.bbox_properties["spcx"]
+            site_ctxt.attrs["spcy"] = self.site_model.bbox_properties["spcy"]
+            site_ctxt.attrs["ncol"] = self.site_model.bbox_properties["ncol"]
+            site_ctxt.attrs["nrow"] = self.site_model.bbox_properties["nrow"]
+        else:
+            site_ctxt.attrs["has_bbox"] = False
+        return
+
+    def get_shakemap(
+        self, intensity_measure_types: List
+    ) -> Tuple[np.ndarray, np.ndarray, Dict]:
+        """
+        Main function to constructs the shakemaps for the specified intensity measures,
+        caching the information to hdf5 if requested
+
+        Args:
+            intensity_measure_types: List of intensity measures for which the shakemaps will
+                                     be calculated
+
+        Returns:
+            aggregated_means: The mean of the ground motions from the different ground motion
+                              models weighted by the assigned input weights
+            aggregated_stddevs: The total standard deviation of the ground motions from the
+                                different ground motion models weighted by the assigned
+                                input weights
+            shakemaps: Dictionary of individual shakemaps for each ground motion model
+        """
+        shakemaps = {}
+        shakemap_dtypes = np.dtype(
+            [
+                (intensity_measure_type, np.float64)
+                for intensity_measure_type in intensity_measure_types
+            ]
+        )
+        if self.caching:
+            # If caching, open (or create) the file and cache the contexts
+            fle = h5py.File(self.cache_file, "r+")
+            if self.earthquake.id in list(fle):
+                del fle[self.earthquake.id]
+            fle_eq = fle.create_group(self.earthquake.id)
+            self._cache_contexts(fle_eq)
+
+        # Pre-allocate the aggregated shakemaps with zeros
+        aggregated_means = np.zeros(self.site_model.shape, dtype=shakemap_dtypes)
+        aggregated_stddevs = np.zeros(self.site_model.shape, dtype=shakemap_dtypes)
+        for weight, gmm in zip(
+            self.ground_motion_model["weights"], self.ground_motion_model["GMMs"]
+        ):
+            gmm_str = gmm.__class__.__name__
+            shakemaps[gmm_str] = {
+                "weight": weight,
+                "mean": np.zeros(self.site_model.shape, dtype=shakemap_dtypes),
+                "stddev": np.zeros(self.site_model.shape, dtype=shakemap_dtypes),
+            }
+            for intensity_measure_type in intensity_measure_types:
+                input_imt = imt.from_string(intensity_measure_type)
+                try:
+                    mean, [stddev] = gmm.get_mean_and_stddevs(
+                        self.sctx, self.rctx, self.dctx, input_imt, [const.StdDev.TOTAL]
+                    )
+                except KeyError:
+                    warnings.warn(
+                        "Ground motion model %s not defined for intensity "
+                        "measure type %s" % (str(gmm), intensity_measure_type)
+                    )
+                    continue
+                aggregated_means[intensity_measure_type] += weight * mean
+                aggregated_stddevs[intensity_measure_type] += weight * stddev
+                shakemaps[gmm_str]["mean"][intensity_measure_type] = mean
+                shakemaps[gmm_str]["stddev"][intensity_measure_type] = stddev
+        if self.caching:
+            self._cache_shakemap(
+                fle_eq, shakemaps, aggregated_means, aggregated_stddevs, shakemap_dtypes
+            )
+            fle.close()
+        return aggregated_means, aggregated_stddevs, shakemaps
+
+    def _cache_shakemap(
+        self,
+        fle: h5py.Group,
+        shakemaps: Dict,
+        aggregated_means: np.ndarray,
+        aggregated_stddevs: np.ndarray,
+        shakemap_dtypes: np.dtype,
+    ):
+        """
+        If caching is required then the shakemaps are written to the hdf5 file
+
+        Args:
+            fle: HDF5 group object to store the shakemaps
+            shakemaps: Dictionary of individual shakemaps for each ground motion model
+            aggregated_means: The mean of the ground motions from the different ground motion
+                              models weighted by the assigned input weights
+            aggregated_stddevs: The total standard deviation of the ground motions from the
+                                different ground motion models weighted by the assigned
+                                input weights
+            shakemap_dtypes: IMT-dependent data type of the shakemaps
+        """
+        shakemap_grp = fle.create_group("shakemaps")
+        for gmm_string in shakemaps:
+            gmm_grp = shakemap_grp.create_group(gmm_string)
+            gmm_grp.attrs["weight"] = shakemaps[gmm_string]["weight"]
+            mean_dset = gmm_grp.create_dataset(
+                "mean", shakemaps[gmm_string]["mean"].shape, dtype=shakemap_dtypes
+            )
+            mean_dset[:] = shakemaps[gmm_string]["mean"]
+            stddev_dset = gmm_grp.create_dataset(
+                "stddev", shakemaps[gmm_string]["stddev"].shape, dtype=shakemap_dtypes
+            )
+            stddev_dset[:] = shakemaps[gmm_string]["stddev"]
+        # Store the agregated results
+        aggregated_grp = fle.create_group("aggregated")
+        aggregated_mean_dset = aggregated_grp.create_dataset(
+            "mean", aggregated_means.shape, shakemap_dtypes
+        )
+        aggregated_mean_dset[:] = aggregated_means
+        aggregated_stddev_dset = aggregated_grp.create_dataset(
+            "stddev", aggregated_stddevs.shape, shakemap_dtypes
+        )
+        aggregated_stddev_dset[:] = aggregated_stddevs

shakyground2/site_model.py

@@ -5,7 +5,7 @@ from __future__ import annotations
 import warnings
 import numpy as np
 import pandas as pd
-from typing import Tuple, Optional, Dict
+from typing import Tuple, Optional, Dict, Union
 from openquake.hazardlib.site import SiteCollection
 
 
@@ -56,6 +56,14 @@ class SiteModel(object):
         # Returns the number of sites in the site array
         return self.site_array.shape[0]
 
+    def __getitem__(self, key: Union[str, int]):
+        # Returns the named column from the site array (if provided with a string),
+        # or the corresponding row if provided with an integer
+        if isinstance(key, str) or isinstance(key, int):
+            return self.site_array[key]
+        else:
+            raise KeyError("Site model has no attribute %s" % key)
+
     def __repr__(self):
         # Returns an informative string regarding the composition of the sites,
         # including the bounding box information when relevant
@@ -72,6 +80,10 @@ class SiteModel(object):
             info_string += bbox_string
         return info_string
 
+    @property
+    def shape(self):
+        return self.site_array.shape[0]
+
     @property
     def dataframe(self):
         # Return the site array as a dataframe

shakyground2/synthetic_rupture_generator.py

+"""
+Generates a set of synthetic ruptures based on a point source configuration
+"""
+import numpy as np
+from typing import List, Tuple, Optional
+from scipy.stats import truncnorm
+from openquake.hazardlib.geo import Point, Mesh
+from openquake.hazardlib.geo.surface.base import BaseSurface
+from openquake.hazardlib.source.rupture import ParametricProbabilisticRupture
+from shakyground2.earthquake import Earthquake
+from shakyground2.site_model import SiteModel
+
+
+# The hypocentre distributions are defined from the Next Generation Attenuation
+# (NGA) West 2 rupture database
+NGAWEST_HYPO_DISTRIBUTIONS = {
+    "All": {
+        "Mean": np.array([0.46851357, 0.67460261]),
+        "Sigma": np.array([0.20691535, 0.22040932]),
+        "COV": np.array([[0.04293594, 0.00103987], [0.00103987, 0.04871868]]),
+        "DipRange": [30.0, 90.0],
+    },
+    "SS": {
+        "Mean": np.array([0.48545206, 0.64942746]),
+        "Sigma": np.array([0.22415657, 0.21677068]),
+        "COV": np.array([[0.05064814, -0.00603003], [-0.00603003, 0.04736544]]),
+        "DipRange": [80.0, 90.0],
+    },
+    "R": {
+        "Mean": np.array([0.4674859, 0.58483914]),
+        "Sigma": np.array([0.16275562, 0.22017015]),
+        "COV": np.array([[0.02673021, 0.0113362], [0.0113362, 0.04891558]]),
+        "DipRange": [25.0, 50.0],
+    },
+    "N": {
+        "Mean": np.array([0.50887254, 0.82404]),
+        "Sigma": np.array([0.22416128, 0.13647917]),
+        "COV": np.array([[0.05085368, -0.00332741], [-0.00332741, 0.01885098]]),
+        "DipRange": [50.0, 80.0],
+    },
+}
+
+
+# In case other definitions (thrust fault, undefined etc.) are used
+NGAWEST_HYPO_DISTRIBUTIONS["TF"] = NGAWEST_HYPO_DISTRIBUTIONS["R"]
+NGAWEST_HYPO_DISTRIBUTIONS["U"] = NGAWEST_HYPO_DISTRIBUTIONS["All"]