fracspy.mtinversion.greensfunction.mt_pwave_greens_multicomp#
- fracspy.mtinversion.greensfunction.mt_pwave_greens_multicomp(n_xyz, cosine_sourceangles, dists, vel, MT_comp_dict, omega_p)[source]#
Particle velocity components of the P-wave Green’s functions within a volumetric source grid for all moment tensor components
Compute Green’s functions for the 3-components (x, y, and z) of the P-wave between sources defined in a regular 3-dimensional grid and a set of receivers
- Parameters:
- n_xyz
tuple Number of grid points in X-, Y-, and Z-axes for the source area
- cosine_sourceangles
numpy.ndarray Cosine source angles of size \(3 \times n_r \times n_x \times n_y \times n_z\)
- dists
numpy.ndarray Distances of size \(\times n_r \times n_x \times n_y \times n_z\)
- vel
numpy.ndarray Velocity model
- MT_comp_dict
dict Dictionary containing Moment Tensor parameters
- omega_p
float Peak frequency of the given wave
- n_xyz
- Returns:
- Gx
numpy.ndarray x-component Green’s functions of size \(6 \times n_r \times n_x \times n_y \times n_z\)
- Gy
numpy.ndarray y-component Green’s functions of size \(6 \times n_r \times n_x \times n_y \times n_z\)
- Gz
numpy.ndarray z-component Green’s functions of size \(6 \times n_r \times n_x \times n_y \times n_z\)
- Gx
Notes
This method computes the amplitudes of the 3-component particle velocity Green’s functions associated to the first P-wave arrival, for a uniform grid of source location based on the far-field particle velocity expression from a moment tensor source in a homogeneous full space for all of the 6 different moment tensor components.