shakelib.rupture.point_rupture

class shakelib.rupture.point_rupture.PointRupture(origin, reference='')[source]

Bases: shakelib.rupture.base.Rupture

Rupture class for point sources. The purpose is to gracefully handle:

  • Requests for rupture distances when no rupture is available.
  • Provide reasonable default values for rupture parameters.

Constructs a PointRupture instance.

Parameters:
  • origin (Origin) – Reference to a ShakeMap Origin instance.
  • reference (str) – Citable reference for rupture.
Returns:

PointRupture instance.
getLength()[source]

Rupture length, which is None for a PointRupture. Could potentially put in a default value based on magnitude.

getWidth()[source]

Rupture width. Could potentially put in a default value based on magnitude.

getArea()[source]

Rupture area, which is None for a PointRupture. Could potentially put in a default value based on magnitude.

getStrike()[source]

Strike, which is None. Could potentially get from strec or something?

getDip()[source]

Dip, which is None. Could potentially get from strec or something?

getDepthToTop()[source]

Depth to top of rupture. Could get from hypo/magnitude?

getQuadrilaterals()[source]
lats

Returns rupture latitudes, which is just the hypocenter for a PointRupture.

lons

Returns rupture longitudes, which is just the hypocenter for a PointRupture.

depths

Returns rupture depths, which is just the hypocenter for a PointRupture.

computeRjb(lon, lat, depth, var=False)[source]

Convert point-distances to Joyner-Boore distances based on magnitude.

Parameters:
  • lon (array) – Numpy array of longitudes.
  • lat (array) – Numpy array of latitudes.
  • depth (array) – Numpy array of depths (km; positive down).
  • var (bool) – Also return variance of prediction.
Returns:

first, the

predicted Rjb values, and second an array of the variance of those predictions. If var is False then just the first element of the tuple is returned.
Return type:

If var is True then this returns a tuple of two arrays
computeRrup(lon, lat, depth, var=False)[source]

Convert point-distances to rupture distances based on magnitude.

Parameters:
  • lon (array) – Numpy array of longitudes.
  • lat (array) – Numpy array of latitudes.
  • depth (array) – Numpy array of depths (km; positive down).
  • var (bool) – Also return variance of prediction.
Returns:

first, the

predicted Rjb values, and second an array of the variance of those predictions. If var is False then just the first element of the tuple is returned.
Return type:

If var is True then this returns a tuple of two arrays
computeGC2(lon, lat, depth)[source]

Method for computing version 2 of the Generalized Coordinate system (GC2) by Spudich and Chiou OFR 2015-1028.

Parameters:
  • lon (array) – Numpy array of longitudes.
  • lat (array) – Numpy array of latitudes.
  • depth (array) – Numpy array of depths (km; positive down).
Returns:

Dictionary with keys for each of the GC2-related distances,

which include ‘rx’, ‘ry’, ‘ry0’, ‘U’, ‘T’.
Return type:

dict