initial upload
This commit is contained in:
@@ -0,0 +1,215 @@
|
||||
version: 3
|
||||
|
||||
#################################################
|
||||
# computational domian #
|
||||
#################################################
|
||||
domain:
|
||||
min_max_dep: [-10, 50] # depth in km
|
||||
min_max_lat: [0, 2] # latitude in degree
|
||||
min_max_lon: [0, 2] # longitude in degree
|
||||
n_rtp: [61, 61, 61] # number of nodes in depth,latitude,longitude direction
|
||||
|
||||
#################################################
|
||||
# traveltime data file path #
|
||||
#################################################
|
||||
source:
|
||||
src_rec_file: OUTPUT_FILES/OUTPUT_FILES_1dinv_signal/src_rec_file_step_0000.dat # source receiver file path
|
||||
swap_src_rec: true # swap source and receiver (only valid for regional source and receiver, those of tele remain unchanged)
|
||||
|
||||
#################################################
|
||||
# initial model file path #
|
||||
#################################################
|
||||
model:
|
||||
init_model_path: 2_models/model_init_N61_61_61.h5 # path to initial model file
|
||||
# model_1d_name: dummy_model_1d_name # 1D model name used in teleseismic 2D solver (iasp91, ak135, user_defined is available), defined in include/1d_model.h
|
||||
|
||||
#################################################
|
||||
# parallel computation settings #
|
||||
#################################################
|
||||
parallel: # parameters for parallel computation
|
||||
n_sims: 8 # number of simultanoues runs (parallel the sources)
|
||||
ndiv_rtp: [1, 1, 1] # number of subdivision on each direction (parallel the computional domain)
|
||||
nproc_sub: 1 # number of processors for sweep parallelization (parallel the fast sweep method)
|
||||
use_gpu: false # true if use gpu (EXPERIMENTAL)
|
||||
|
||||
############################################
|
||||
# output file setting #
|
||||
############################################
|
||||
output_setting:
|
||||
output_dir: OUTPUT_FILES/OUTPUT_FILES_1dinv_inv # path to output director (default is ./OUTPUT_FILES/)
|
||||
output_source_field: true # True: output the traveltime field and adjoint field of all sources at each iteration. Default: false. File: 'out_data_sim_group_X'.
|
||||
output_kernel: false # True: output sensitivity kernel and kernel density. Default: false. File: 'out_data_sim_group_X'.
|
||||
output_final_model: true # True: output merged final model. This file can be used as the input model for TomoATT. Default: true. File: 'model_final.h5'.
|
||||
output_middle_model: false # True: output merged intermediate models during inversion. This file can be used as the input model for TomoATT. Default: false. File: 'middle_model_step_XXXX.h5'
|
||||
output_in_process: false # True: output at each inv iteration, otherwise, only output step 0, Niter-1, Niter. Default: true. File: 'out_data_sim_group_0'.
|
||||
output_in_process_data: false # True: output src_rec_file at each inv iteration, otherwise, only output step 0, Niter-2, Niter-1. Default: true. File: 'src_rec_file_step_XXXX.dat'
|
||||
single_precision_output: false # True: output results in single precision. Default: false.
|
||||
verbose_output_level: 0 # output internal parameters, (to do).
|
||||
output_file_format: 0 # 0: hdf5, 1: ascii
|
||||
|
||||
# output files:
|
||||
# File: 'out_data_grid.h5'. Keys: ['Mesh']['elem_conn'], element index;
|
||||
# ['Mesh']['node_coords_p'], phi coordinates of nodes;
|
||||
# ['Mesh']['node_coords_t'], theta coordinates of nodes;
|
||||
# ['Mesh']['node_coords_r'], r coordinates of nodes;
|
||||
# ['Mesh']['node_coords_x'], phi coordinates of elements;
|
||||
# ['Mesh']['node_coords_y'], theta coordinates of elements;
|
||||
# ['Mesh']['node_coords_z'], r coordinates of elements;
|
||||
# File: 'out_data_sim_group_0'. Keys: ['model']['vel_inv_XXXX'], velocity model at iteration XXXX;
|
||||
# ['model']['xi_inv_XXXX'], xi model at iteration XXXX;
|
||||
# ['model']['eta_inv_XXXX'], eta model at iteration XXXX
|
||||
# ['model']['Ks_inv_XXXX'], sensitivity kernel related to slowness at iteration XXXX
|
||||
# ['model']['Kxi_inv_XXXX'], sensitivity kernel related to xi at iteration XXXX
|
||||
# ['model']['Keta_inv_XXXX'], sensitivity kernel related to eta at iteration XXXX
|
||||
# ['model']['Ks_density_inv_XXXX'], kernel density of Ks at iteration XXXX
|
||||
# ['model']['Kxi_density_inv_XXXX'], kernel density of Kxi at iteration XXXX
|
||||
# ['model']['Keta_density_inv_XXXX'], kernel density of Keta at iteration XXXX
|
||||
# ['model']['Ks_over_Kden_inv_XXXX'], slowness kernel over kernel density at iteration XXXX
|
||||
# ['model']['Kxi_over_Kden_inv_XXXX'], xi kernel over kernel density at iteration XXXX
|
||||
# ['model']['Keta_over_Kden_inv_XXXX'], eta kernel over kernel density at iteration XXXX
|
||||
# ['model']['Ks_update_inv_XXXX'], slowness kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['model']['Kxi_update_inv_XXXX'], xi kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['model']['Keta_update_inv_XXXX'], eta kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['1dinv']['vel_1dinv_inv_XXXX'], 2d velocity model at iteration XXXX, in 1d inversion mode
|
||||
# ['1dinv']['r_1dinv'], r coordinates (depth), in 1d inversion mode
|
||||
# ['1dinv']['t_1dinv'], t coordinates (epicenter distance), in 1d inversion mode
|
||||
# File: 'src_rec_file_step_XXXX.dat' or 'src_rec_file_forward.dat'. The synthetic traveltime data file.
|
||||
# File: 'final_model.h5'. Keys: ['eta'], ['xi'], ['vel'], the final model.
|
||||
# File: 'middle_model_step_XXXX.h5'. Keys: ['eta'], ['xi'], ['vel'], the model at step XXXX.
|
||||
# File: 'inversion_grid.txt'. The location of inversion grid nodes
|
||||
# File: 'objective_function.txt'. The objective function value at each iteration
|
||||
# File: 'out_data_sim_group_X'. Keys: ['src_YYYY']['time_field_inv_XXXX'], traveltime field of source YYYY at iteration XXXX;
|
||||
# ['src_YYYY']['adjoint_field_inv_XXXX'], adjoint field of source YYYY at iteration XXXX;
|
||||
# ['1dinv']['time_field_1dinv_YYYY_inv_XXXX'], 2d traveltime field of source YYYY at iteration XXXX, in 1d inversion mode
|
||||
# ['1dinv']['adjoint_field_1dinv_YYYY_inv_XXXX'], 2d adjoint field of source YYYY at iteration XXXX, in 1d inversion mode
|
||||
|
||||
|
||||
#################################################
|
||||
# inversion or forward modeling #
|
||||
#################################################
|
||||
# run mode
|
||||
# 0 for forward simulation only,
|
||||
# 1 for inversion
|
||||
# 2 for earthquake relocation
|
||||
# 3 for inversion + earthquake relocation
|
||||
# 4 for 1d model inversion
|
||||
run_mode: 4
|
||||
|
||||
have_tele_data: false # An error will be reported if false but source out of study region is used. Default: false.
|
||||
|
||||
###################################################
|
||||
# model update parameters setting #
|
||||
###################################################
|
||||
model_update:
|
||||
max_iterations: 200 # maximum number of inversion iterations
|
||||
optim_method: 0 # optimization method. 0 : grad_descent, 1 : halve-stepping, 2 : lbfgs (EXPERIMENTAL)
|
||||
|
||||
#common parameters for all optim methods
|
||||
step_length: 0.02 # the initial step length of model perturbation. 0.01 means maximum 1% perturbation for each iteration.
|
||||
|
||||
# parameters for optim_method 0 (gradient_descent)
|
||||
optim_method_0:
|
||||
step_method: 1 # the method to modulate step size. 0: according to objective function; 1: according to gradient direction
|
||||
# if step_method:0. if objective function increase, step size -> step length * step_length_decay.
|
||||
step_length_decay: 0.9 # default: 0.9
|
||||
# if step_method:1. if the angle between the current and the previous gradients is greater than step_length_gradient_angle, step size -> step length * step_length_change[0].
|
||||
# otherwise, step size -> step length * step_length_change[1].
|
||||
step_length_gradient_angle: 120 # default: 120.0
|
||||
step_length_change: [0.5, 1.2] # default: [0.5,1.2]
|
||||
# Kdensity_coe is used to rescale the final kernel: kernel -> kernel / pow(density of kernel, Kdensity_coe). if Kdensity_coe > 0, the region with less data will be enhanced during the inversion
|
||||
# e.g., if Kdensity_coe = 0, kernel remains upchanged; if Kdensity_coe = 1, kernel is fully normalized. 0.5 or less is recommended if really required.
|
||||
Kdensity_coe: 0 # default: 0.0, limited range: 0.0 - 0.95
|
||||
|
||||
# smoothing
|
||||
smoothing:
|
||||
smooth_method: 0 # 0: multiparametrization, 1: laplacian smoothing (EXPERIMENTAL)
|
||||
l_smooth_rtp: [1, 1, 1] # smoothing coefficients for laplacian smoothing
|
||||
|
||||
# parameters for smooth method 0 (multigrid model parametrization)
|
||||
# inversion grid can be viewed in OUTPUT_FILES/inversion_grid.txt
|
||||
n_inversion_grid: 5 # number of inversion grid sets
|
||||
|
||||
uniform_inv_grid_dep: true # true if use uniform inversion grid for dep, false if use flexible inversion grid
|
||||
uniform_inv_grid_lat: true # true if use uniform inversion grid for lat, false if use flexible inversion grid
|
||||
uniform_inv_grid_lon: true # true if use uniform inversion grid for lon, false if use flexible inversion grid
|
||||
|
||||
# -------------- uniform inversion grid setting --------------
|
||||
# settings for uniform inversion grid
|
||||
n_inv_dep_lat_lon: [13, 9, 9] # number of the base inversion grid points
|
||||
min_max_dep_inv: [-10, 50] # depth in km (Radius of the earth is defined in config.h/R_earth)
|
||||
min_max_lat_inv: [0, 2] # latitude in degree
|
||||
min_max_lon_inv: [0, 2] # longitude in degree
|
||||
|
||||
# -------------- flexible inversion grid setting --------------
|
||||
# settings for flexible inversion grid
|
||||
dep_inv: [-10, 0, 10, 20, 30, 40, 50, 60] # inversion grid for vel in depth (km)
|
||||
lat_inv: [30, 30.2, 30.4, 30.6, 30.8, 31, 31.2, 31.4, 31.6, 31.8, 32] # inversion grid for vel in latitude (degree)
|
||||
lon_inv: [30, 30.2, 30.4, 30.6, 30.8, 31, 31.2, 31.4, 31.6, 31.8, 32] # inversion grid for vel in longitude (degree)
|
||||
trapezoid: [1, 0, 50] # usually set as [1.0, 0.0, 50.0] (default)
|
||||
|
||||
# Carefully change trapezoid and trapezoid_ani, if you really want to use trapezoid inversion grid, increasing the inversion grid spacing with depth to account for the worse data coverage in greater depths.
|
||||
# The trapezoid_ inversion grid with index (i,j,k) in longitude, latitude, and depth is defined as:
|
||||
# if dep_inv[k] < trapezoid[1], lon = lon_inv[i];
|
||||
# lat = lat_inv[j];
|
||||
# dep = dep_inv[k];
|
||||
# if trapezoid[1] <= dep_inv[k] < trapezoid[2], lon = mid_lon_inv+(lon_inv[i]-mid_lon_inv)*(dep_inv[k]-trapezoid[1])/(trapezoid[2]-trapezoid[1])*trapezoid[0];
|
||||
# lat = mid_lat_inv+(lat_inv[i]-mid_lat_inv)*(dep_inv[k]-trapezoid[1])/(trapezoid[2]-trapezoid[1])*trapezoid[0];
|
||||
# dep = dep_inv[k];
|
||||
# if trapezoid[2] <= dep_inv[k], lon = mid_lon_inv+(lon_inv[i]-mid_lon_inv)*trapezoid[0];
|
||||
# lat = mid_lat_inv+(lat_inv[i]-mid_lat_inv)*trapezoid[0];
|
||||
# dep = dep_inv[k];
|
||||
# The shape of trapezoid inversion gird (x) looks like:
|
||||
#
|
||||
# lon_inv[0] [1] [2] [3] [4]
|
||||
# |<-------- (lon_inv[end] - lon_inv[0]) ---->|
|
||||
# dep_inv[0] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[1] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[2] = trapezoid[1] / x x x x x \
|
||||
# / \
|
||||
# dep_inv[3] / x x x x x \
|
||||
# / \
|
||||
# dep_inv[4] = trapezoid[2] / x x x x x \
|
||||
# | |
|
||||
# dep_inv[5] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[6] | x x x x x |
|
||||
# |<---- trapezoid[0]* (lon_inv[end] - lon_inv[0]) ------>|
|
||||
|
||||
|
||||
# In the following data subsection, XXX_weight means a weight is assigned to the data, influencing the objective function and gradient
|
||||
# XXX_weight : [d1,d2,w1,w2] means:
|
||||
# if XXX < d1, weight = w1
|
||||
# if d1 <= XXX < d2, weight = w1 + (XXX-d1)/(d2-d1)*(w2-w1), (linear interpolation)
|
||||
# if d2 <= XXX , weight = w2
|
||||
# You can easily set w1 = w2 = 1.0 to normalize the weight related to XXX.
|
||||
# -------------- using absolute traveltime data --------------
|
||||
abs_time:
|
||||
use_abs_time: true # 'true' for using absolute traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the absolute traveltime residual (second) = abs(t^{obs}_{n,i} - t^{syn}_{n,j})
|
||||
distance_weight: [100, 200, 1, 1] # XXX is epicenter distance (km) between the source and receiver related to the data
|
||||
|
||||
# -------------- using common source differential traveltime data --------------
|
||||
cs_dif_time:
|
||||
use_cs_time: false # 'true' for using common source differential traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the common source differential traveltime residual (second) = abs(t^{obs}_{n,i} - t^{obs}_{n,j} - t^{syn}_{n,i} + t^{syn}_{n,j}).
|
||||
azimuthal_weight: [15, 30, 1, 1] # XXX is the azimuth difference between two separate stations related to the common source.
|
||||
|
||||
# -------------- using common receiver differential traveltime data --------------
|
||||
cr_dif_time:
|
||||
use_cr_time: false # 'true' for using common receiver differential traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the common receiver differential traveltime residual (second) = abs(t^{obs}_{n,i} - t^{obs}_{m,i} - t^{syn}_{n,i} + t^{syn}_{m,i})
|
||||
azimuthal_weight: [15, 30, 1, 1] # XXX is the azimuth difference between two separate sources related to the common receiver.
|
||||
|
||||
# -------------- global weight of different types of data (to balance the weight of different data) --------------
|
||||
global_weight:
|
||||
balance_data_weight: false # yes: over the total weight of the each type of the data. no: use original weight (below weight for each type of data needs to be set)
|
||||
abs_time_weight: 1 # weight of absolute traveltime data after balance, default: 1.0
|
||||
cs_dif_time_local_weight: 1 # weight of common source differential traveltime data after balance, default: 1.0
|
||||
cr_dif_time_local_weight: 1 # weight of common receiver differential traveltime data after balance, default: 1.0
|
||||
teleseismic_weight: 1 # weight of teleseismic data after balance, default: 1.0 (exclude in this version)
|
||||
|
||||
# -------------- inversion parameters --------------
|
||||
update_slowness : true # update slowness (velocity) or not. default: true
|
||||
update_azi_ani : false # update azimuthal anisotropy (xi, eta) or not. default: false
|
||||
@@ -0,0 +1,215 @@
|
||||
version: 3
|
||||
|
||||
#################################################
|
||||
# computational domian #
|
||||
#################################################
|
||||
domain:
|
||||
min_max_dep: [-10, 50] # depth in km
|
||||
min_max_lat: [0, 2] # latitude in degree
|
||||
min_max_lon: [0, 2] # longitude in degree
|
||||
n_rtp: [61, 61, 61] # number of nodes in depth,latitude,longitude direction
|
||||
|
||||
#################################################
|
||||
# traveltime data file path #
|
||||
#################################################
|
||||
source:
|
||||
src_rec_file: 1_src_rec_files/src_rec_config.dat # source receiver file path
|
||||
swap_src_rec: true # swap source and receiver (only valid for regional source and receiver, those of tele remain unchanged)
|
||||
|
||||
#################################################
|
||||
# initial model file path #
|
||||
#################################################
|
||||
model:
|
||||
init_model_path: 2_models/model_ckb_N61_61_61.h5 # path to initial model file
|
||||
# model_1d_name: dummy_model_1d_name # 1D model name used in teleseismic 2D solver (iasp91, ak135, user_defined is available), defined in include/1d_model.h
|
||||
|
||||
#################################################
|
||||
# parallel computation settings #
|
||||
#################################################
|
||||
parallel: # parameters for parallel computation
|
||||
n_sims: 8 # number of simultanoues runs (parallel the sources)
|
||||
ndiv_rtp: [1, 1, 1] # number of subdivision on each direction (parallel the computional domain)
|
||||
nproc_sub: 1 # number of processors for sweep parallelization (parallel the fast sweep method)
|
||||
use_gpu: false # true if use gpu (EXPERIMENTAL)
|
||||
|
||||
############################################
|
||||
# output file setting #
|
||||
############################################
|
||||
output_setting:
|
||||
output_dir: OUTPUT_FILES/OUTPUT_FILES_1dinv_signal # path to output director (default is ./OUTPUT_FILES/)
|
||||
output_source_field: false # True: output the traveltime field and adjoint field of all sources at each iteration. Default: false. File: 'out_data_sim_group_X'.
|
||||
output_kernel: false # True: output sensitivity kernel and kernel density. Default: false. File: 'out_data_sim_group_X'.
|
||||
output_final_model: true # True: output merged final model. This file can be used as the input model for TomoATT. Default: true. File: 'model_final.h5'.
|
||||
output_middle_model: false # True: output merged intermediate models during inversion. This file can be used as the input model for TomoATT. Default: false. File: 'middle_model_step_XXXX.h5'
|
||||
output_in_process: false # True: output at each inv iteration, otherwise, only output step 0, Niter-1, Niter. Default: true. File: 'out_data_sim_group_0'.
|
||||
output_in_process_data: false # True: output src_rec_file at each inv iteration, otherwise, only output step 0, Niter-2, Niter-1. Default: true. File: 'src_rec_file_step_XXXX.dat'
|
||||
single_precision_output: false # True: output results in single precision. Default: false.
|
||||
verbose_output_level: 0 # output internal parameters, (to do).
|
||||
output_file_format: 0 # 0: hdf5, 1: ascii
|
||||
|
||||
# output files:
|
||||
# File: 'out_data_grid.h5'. Keys: ['Mesh']['elem_conn'], element index;
|
||||
# ['Mesh']['node_coords_p'], phi coordinates of nodes;
|
||||
# ['Mesh']['node_coords_t'], theta coordinates of nodes;
|
||||
# ['Mesh']['node_coords_r'], r coordinates of nodes;
|
||||
# ['Mesh']['node_coords_x'], phi coordinates of elements;
|
||||
# ['Mesh']['node_coords_y'], theta coordinates of elements;
|
||||
# ['Mesh']['node_coords_z'], r coordinates of elements;
|
||||
# File: 'out_data_sim_group_0'. Keys: ['model']['vel_inv_XXXX'], velocity model at iteration XXXX;
|
||||
# ['model']['xi_inv_XXXX'], xi model at iteration XXXX;
|
||||
# ['model']['eta_inv_XXXX'], eta model at iteration XXXX
|
||||
# ['model']['Ks_inv_XXXX'], sensitivity kernel related to slowness at iteration XXXX
|
||||
# ['model']['Kxi_inv_XXXX'], sensitivity kernel related to xi at iteration XXXX
|
||||
# ['model']['Keta_inv_XXXX'], sensitivity kernel related to eta at iteration XXXX
|
||||
# ['model']['Ks_density_inv_XXXX'], kernel density of Ks at iteration XXXX
|
||||
# ['model']['Kxi_density_inv_XXXX'], kernel density of Kxi at iteration XXXX
|
||||
# ['model']['Keta_density_inv_XXXX'], kernel density of Keta at iteration XXXX
|
||||
# ['model']['Ks_over_Kden_inv_XXXX'], slowness kernel over kernel density at iteration XXXX
|
||||
# ['model']['Kxi_over_Kden_inv_XXXX'], xi kernel over kernel density at iteration XXXX
|
||||
# ['model']['Keta_over_Kden_inv_XXXX'], eta kernel over kernel density at iteration XXXX
|
||||
# ['model']['Ks_update_inv_XXXX'], slowness kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['model']['Kxi_update_inv_XXXX'], xi kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['model']['Keta_update_inv_XXXX'], eta kernel over kernel density at iteration XXXX, smoothed by inversion grid
|
||||
# ['1dinv']['vel_1dinv_inv_XXXX'], 2d velocity model at iteration XXXX, in 1d inversion mode
|
||||
# ['1dinv']['r_1dinv'], r coordinates (depth), in 1d inversion mode
|
||||
# ['1dinv']['t_1dinv'], t coordinates (epicenter distance), in 1d inversion mode
|
||||
# File: 'src_rec_file_step_XXXX.dat' or 'src_rec_file_forward.dat'. The synthetic traveltime data file.
|
||||
# File: 'final_model.h5'. Keys: ['eta'], ['xi'], ['vel'], the final model.
|
||||
# File: 'middle_model_step_XXXX.h5'. Keys: ['eta'], ['xi'], ['vel'], the model at step XXXX.
|
||||
# File: 'inversion_grid.txt'. The location of inversion grid nodes
|
||||
# File: 'objective_function.txt'. The objective function value at each iteration
|
||||
# File: 'out_data_sim_group_X'. Keys: ['src_YYYY']['time_field_inv_XXXX'], traveltime field of source YYYY at iteration XXXX;
|
||||
# ['src_YYYY']['adjoint_field_inv_XXXX'], adjoint field of source YYYY at iteration XXXX;
|
||||
# ['1dinv']['time_field_1dinv_YYYY_inv_XXXX'], 2d traveltime field of source YYYY at iteration XXXX, in 1d inversion mode
|
||||
# ['1dinv']['adjoint_field_1dinv_YYYY_inv_XXXX'], 2d adjoint field of source YYYY at iteration XXXX, in 1d inversion mode
|
||||
|
||||
|
||||
#################################################
|
||||
# inversion or forward modeling #
|
||||
#################################################
|
||||
# run mode
|
||||
# 0 for forward simulation only,
|
||||
# 1 for inversion
|
||||
# 2 for earthquake relocation
|
||||
# 3 for inversion + earthquake relocation
|
||||
# 4 for 1d model inversion
|
||||
run_mode: 4
|
||||
|
||||
have_tele_data: false # An error will be reported if false but source out of study region is used. Default: false.
|
||||
|
||||
###################################################
|
||||
# model update parameters setting #
|
||||
###################################################
|
||||
model_update:
|
||||
max_iterations: 1 # maximum number of inversion iterations
|
||||
optim_method: 0 # optimization method. 0 : grad_descent, 1 : halve-stepping, 2 : lbfgs (EXPERIMENTAL)
|
||||
|
||||
#common parameters for all optim methods
|
||||
step_length: 0.02 # the initial step length of model perturbation. 0.01 means maximum 1% perturbation for each iteration.
|
||||
|
||||
# parameters for optim_method 0 (gradient_descent)
|
||||
optim_method_0:
|
||||
step_method: 1 # the method to modulate step size. 0: according to objective function; 1: according to gradient direction
|
||||
# if step_method:0. if objective function increase, step size -> step length * step_length_decay.
|
||||
step_length_decay: 0.9 # default: 0.9
|
||||
# if step_method:1. if the angle between the current and the previous gradients is greater than step_length_gradient_angle, step size -> step length * step_length_change[0].
|
||||
# otherwise, step size -> step length * step_length_change[1].
|
||||
step_length_gradient_angle: 120 # default: 120.0
|
||||
step_length_change: [0.5, 1.2] # default: [0.5,1.2]
|
||||
# Kdensity_coe is used to rescale the final kernel: kernel -> kernel / pow(density of kernel, Kdensity_coe). if Kdensity_coe > 0, the region with less data will be enhanced during the inversion
|
||||
# e.g., if Kdensity_coe = 0, kernel remains upchanged; if Kdensity_coe = 1, kernel is fully normalized. 0.5 or less is recommended if really required.
|
||||
Kdensity_coe: 0 # default: 0.0, limited range: 0.0 - 0.95
|
||||
|
||||
# smoothing
|
||||
smoothing:
|
||||
smooth_method: 0 # 0: multiparametrization, 1: laplacian smoothing (EXPERIMENTAL)
|
||||
l_smooth_rtp: [1, 1, 1] # smoothing coefficients for laplacian smoothing
|
||||
|
||||
# parameters for smooth method 0 (multigrid model parametrization)
|
||||
# inversion grid can be viewed in OUTPUT_FILES/inversion_grid.txt
|
||||
n_inversion_grid: 5 # number of inversion grid sets
|
||||
|
||||
uniform_inv_grid_dep: false # true if use uniform inversion grid for dep, false if use flexible inversion grid
|
||||
uniform_inv_grid_lat: true # true if use uniform inversion grid for lat, false if use flexible inversion grid
|
||||
uniform_inv_grid_lon: true # true if use uniform inversion grid for lon, false if use flexible inversion grid
|
||||
|
||||
# -------------- uniform inversion grid setting --------------
|
||||
# settings for uniform inversion grid
|
||||
n_inv_dep_lat_lon: [12, 9, 9] # number of the base inversion grid points
|
||||
min_max_dep_inv: [-10, 50] # depth in km (Radius of the earth is defined in config.h/R_earth)
|
||||
min_max_lat_inv: [0, 2] # latitude in degree
|
||||
min_max_lon_inv: [0, 2] # longitude in degree
|
||||
|
||||
# -------------- flexible inversion grid setting --------------
|
||||
# settings for flexible inversion grid
|
||||
dep_inv: [-10, 0, 10, 20, 30, 40, 50, 60] # inversion grid for vel in depth (km)
|
||||
lat_inv: [30, 30.2, 30.4, 30.6, 30.8, 31, 31.2, 31.4, 31.6, 31.8, 32] # inversion grid for vel in latitude (degree)
|
||||
lon_inv: [30, 30.2, 30.4, 30.6, 30.8, 31, 31.2, 31.4, 31.6, 31.8, 32] # inversion grid for vel in longitude (degree)
|
||||
trapezoid: [1, 0, 50] # usually set as [1.0, 0.0, 50.0] (default)
|
||||
|
||||
# Carefully change trapezoid and trapezoid_ani, if you really want to use trapezoid inversion grid, increasing the inversion grid spacing with depth to account for the worse data coverage in greater depths.
|
||||
# The trapezoid_ inversion grid with index (i,j,k) in longitude, latitude, and depth is defined as:
|
||||
# if dep_inv[k] < trapezoid[1], lon = lon_inv[i];
|
||||
# lat = lat_inv[j];
|
||||
# dep = dep_inv[k];
|
||||
# if trapezoid[1] <= dep_inv[k] < trapezoid[2], lon = mid_lon_inv+(lon_inv[i]-mid_lon_inv)*(dep_inv[k]-trapezoid[1])/(trapezoid[2]-trapezoid[1])*trapezoid[0];
|
||||
# lat = mid_lat_inv+(lat_inv[i]-mid_lat_inv)*(dep_inv[k]-trapezoid[1])/(trapezoid[2]-trapezoid[1])*trapezoid[0];
|
||||
# dep = dep_inv[k];
|
||||
# if trapezoid[2] <= dep_inv[k], lon = mid_lon_inv+(lon_inv[i]-mid_lon_inv)*trapezoid[0];
|
||||
# lat = mid_lat_inv+(lat_inv[i]-mid_lat_inv)*trapezoid[0];
|
||||
# dep = dep_inv[k];
|
||||
# The shape of trapezoid inversion gird (x) looks like:
|
||||
#
|
||||
# lon_inv[0] [1] [2] [3] [4]
|
||||
# |<-------- (lon_inv[end] - lon_inv[0]) ---->|
|
||||
# dep_inv[0] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[1] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[2] = trapezoid[1] / x x x x x \
|
||||
# / \
|
||||
# dep_inv[3] / x x x x x \
|
||||
# / \
|
||||
# dep_inv[4] = trapezoid[2] / x x x x x \
|
||||
# | |
|
||||
# dep_inv[5] | x x x x x |
|
||||
# | |
|
||||
# dep_inv[6] | x x x x x |
|
||||
# |<---- trapezoid[0]* (lon_inv[end] - lon_inv[0]) ------>|
|
||||
|
||||
|
||||
# In the following data subsection, XXX_weight means a weight is assigned to the data, influencing the objective function and gradient
|
||||
# XXX_weight : [d1,d2,w1,w2] means:
|
||||
# if XXX < d1, weight = w1
|
||||
# if d1 <= XXX < d2, weight = w1 + (XXX-d1)/(d2-d1)*(w2-w1), (linear interpolation)
|
||||
# if d2 <= XXX , weight = w2
|
||||
# You can easily set w1 = w2 = 1.0 to normalize the weight related to XXX.
|
||||
# -------------- using absolute traveltime data --------------
|
||||
abs_time:
|
||||
use_abs_time: true # 'true' for using absolute traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the absolute traveltime residual (second) = abs(t^{obs}_{n,i} - t^{syn}_{n,j})
|
||||
distance_weight: [100, 200, 1, 1] # XXX is epicenter distance (km) between the source and receiver related to the data
|
||||
|
||||
# -------------- using common source differential traveltime data --------------
|
||||
cs_dif_time:
|
||||
use_cs_time: false # 'true' for using common source differential traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the common source differential traveltime residual (second) = abs(t^{obs}_{n,i} - t^{obs}_{n,j} - t^{syn}_{n,i} + t^{syn}_{n,j}).
|
||||
azimuthal_weight: [15, 30, 1, 1] # XXX is the azimuth difference between two separate stations related to the common source.
|
||||
|
||||
# -------------- using common receiver differential traveltime data --------------
|
||||
cr_dif_time:
|
||||
use_cr_time: false # 'true' for using common receiver differential traveltime data to update model parameters; 'false' for not using (no need to set parameters in this section)
|
||||
residual_weight: [1, 3, 1, 1] # XXX is the common receiver differential traveltime residual (second) = abs(t^{obs}_{n,i} - t^{obs}_{m,i} - t^{syn}_{n,i} + t^{syn}_{m,i})
|
||||
azimuthal_weight: [15, 30, 1, 1] # XXX is the azimuth difference between two separate sources related to the common receiver.
|
||||
|
||||
# -------------- global weight of different types of data (to balance the weight of different data) --------------
|
||||
global_weight:
|
||||
balance_data_weight: false # yes: over the total weight of the each type of the data. no: use original weight (below weight for each type of data needs to be set)
|
||||
abs_time_weight: 1 # weight of absolute traveltime data after balance, default: 1.0
|
||||
cs_dif_time_local_weight: 1 # weight of common source differential traveltime data after balance, default: 1.0
|
||||
cr_dif_time_local_weight: 1 # weight of common receiver differential traveltime data after balance, default: 1.0
|
||||
teleseismic_weight: 1 # weight of teleseismic data after balance, default: 1.0 (exclude in this version)
|
||||
|
||||
# -------------- inversion parameters --------------
|
||||
update_slowness : true # update slowness (velocity) or not. default: true
|
||||
update_azi_ani : false # update azimuthal anisotropy (xi, eta) or not. default: false
|
||||
37
examples/eg4_1d_inversion/plot_output.py
Normal file
37
examples/eg4_1d_inversion/plot_output.py
Normal file
@@ -0,0 +1,37 @@
|
||||
import h5py
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
import os
|
||||
|
||||
try:
|
||||
os.mkdir("img")
|
||||
except:
|
||||
pass
|
||||
|
||||
dep = np.linspace(50,-10, 61)
|
||||
|
||||
with h5py.File("OUTPUT_FILES/OUTPUT_FILES_1dinv_inv/final_model.h5", "r") as f:
|
||||
vel_final= np.array(f["vel"])
|
||||
with h5py.File("2_models/model_init_N61_61_61.h5", "r") as f:
|
||||
vel_init = np.array(f["vel"])
|
||||
with h5py.File("2_models/model_ckb_N61_61_61.h5", "r") as f:
|
||||
vel_ckb = np.array(f["vel"])
|
||||
|
||||
fig = plt.figure(figsize=(6, 6))
|
||||
ax = fig.add_subplot(111)
|
||||
ax.plot(vel_init[:,0,0] , dep, label="init")
|
||||
ax.plot(vel_ckb[:,0,0], dep, label="ckb")
|
||||
ax.plot(vel_final[:,0,0], dep, label="inv")
|
||||
ax.grid()
|
||||
ax.set_xlabel("Velocity (m/s)",fontsize=16)
|
||||
ax.set_ylabel("Depth (km)",fontsize=16)
|
||||
ax.get_xaxis().set_tick_params(labelsize=16)
|
||||
ax.get_yaxis().set_tick_params(labelsize=16)
|
||||
ax.set_xlim([4.5,8.5])
|
||||
ax.set_ylim([0,50])
|
||||
|
||||
plt.gca().invert_yaxis()
|
||||
plt.legend(fontsize=16)
|
||||
|
||||
plt.show()
|
||||
fig.savefig("img/1d_model_inversion.png", dpi=300, bbox_inches="tight", edgecolor="w", facecolor="w")
|
||||
64
examples/eg4_1d_inversion/prepare_input_files.py
Normal file
64
examples/eg4_1d_inversion/prepare_input_files.py
Normal file
@@ -0,0 +1,64 @@
|
||||
# %%
|
||||
# download src_ref_files from Zenodo
|
||||
import os
|
||||
import numpy as np
|
||||
import sys
|
||||
try:
|
||||
from pytomoatt.model import ATTModel
|
||||
from pytomoatt.checkerboard import Checker
|
||||
from pytomoatt.src_rec import SrcRec
|
||||
except:
|
||||
print("ERROR: ATTModel not found. Please install pytomoatt first."
|
||||
"See https://tomoatt.github.io/PyTomoATT/installation.html for details.")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
class BuildInitialModel():
|
||||
def __init__(self, par_file="./3_input_params/input_params_signal.yaml", output_dir="2_models"):
|
||||
"""
|
||||
Build initial model for tomography inversion
|
||||
"""
|
||||
self.am = ATTModel(par_file)
|
||||
self.output_dir = output_dir
|
||||
|
||||
def build_initial_model(self, vel_min=5.0, vel_max=8.0):
|
||||
"""
|
||||
Build initial model for tomography inversion
|
||||
"""
|
||||
self.am.vel[self.am.depths < 0, :, :] = vel_min
|
||||
idx = np.where((0 <= self.am.depths) & (self.am.depths < 40.0))[0]
|
||||
self.am.vel[idx, :, :] = np.linspace(vel_min, vel_max, idx.size)[::-1][:, np.newaxis, np.newaxis]
|
||||
self.am.vel[self.am.depths >= 40.0, :, :] = vel_max
|
||||
|
||||
def build_ckb_model(self):
|
||||
"""
|
||||
Build checkerboard model for tomography inversion
|
||||
"""
|
||||
nr = self.am.n_rtp[0]
|
||||
for ir in range(nr):
|
||||
dep = self.am.depths[ir]
|
||||
self.am.vel[ir, :, :] = (1 + 0.05 * np.sin(np.pi * dep / 10.0)) * self.am.vel[ir, :, :]
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# download src_rec_config.dat
|
||||
url = 'https://zenodo.org/records/14053821/files/src_rec_config.dat'
|
||||
path = "1_src_rec_files/src_rec_config.dat"
|
||||
os.makedirs(os.path.dirname(path), exist_ok=True)
|
||||
if not os.path.exists(path):
|
||||
sr = SrcRec.read(url)
|
||||
sr.write(path)
|
||||
|
||||
# build initial model
|
||||
output_dir = "2_models"
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
bim = BuildInitialModel(output_dir=output_dir)
|
||||
bim.build_initial_model()
|
||||
bim.am.write('{}/model_init_N{:d}_{:d}_{:d}.h5'.format(bim.output_dir, *bim.am.n_rtp))
|
||||
|
||||
bim.build_ckb_model()
|
||||
bim.am.write('{}/model_ckb_N{:d}_{:d}_{:d}.h5'.format(bim.output_dir, *bim.am.n_rtp))
|
||||
|
||||
|
||||
|
||||
27
examples/eg4_1d_inversion/run_this_example.sh
Normal file
27
examples/eg4_1d_inversion/run_this_example.sh
Normal file
@@ -0,0 +1,27 @@
|
||||
#!/bin/bash
|
||||
|
||||
|
||||
# Step 1: Generate necessary input files
|
||||
echo "Generating TomoATT input files..."
|
||||
python prepare_input_files.py
|
||||
|
||||
# Step 2: Run forward modeling
|
||||
# # for WSL
|
||||
# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_1dinv_signal.yaml
|
||||
# # for Linux
|
||||
# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_1dinv_signal.yaml
|
||||
# for conda install
|
||||
mpirun -n 8 TOMOATT -i 3_input_params/input_params_1dinv_signal.yaml
|
||||
|
||||
# Step 3: Do inversion
|
||||
# # for WSL
|
||||
# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_1dinv_inv.yaml
|
||||
# # for Linux
|
||||
# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_1dinv_inv.yaml
|
||||
# for conda install
|
||||
mpirun -n 8 TOMOATT -i 3_input_params/input_params_1dinv_inv.yaml
|
||||
|
||||
# Step 4 (Optional): Plot the results
|
||||
echo "Plotting the results..."
|
||||
python plot_output.py
|
||||
|
||||
Reference in New Issue
Block a user