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TomoATT/utils/params_model_v3.yaml

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2025-12-17 10:53:43 +08:00
version: 3
#################################################
# computational domian #
#################################################
domain:
min_max_dep: [-10, 10] # depth in km
min_max_lat: [37.7, 42.3] # latitude in degree
min_max_lon: [22.7, 27.3] # longitude in degree
n_rtp: [10, 50, 50] # number of nodes in depth,latitude,longitude direction
#################################################
# traveltime data file path #
#################################################
source:
src_rec_file: OUTPUT_FILES/src_rec_file_forward.dat ### source receiver file path
swap_src_rec: true # swap source and receiver
#################################################
# initial model file path #
#################################################
model:
init_model_path: ./test_model_init.h5 # path to initial model file
#################################################
# parallel computation settings #
#################################################
parallel: # parameters for parallel computation
n_sims: 1 # number of simultanoues runs
ndiv_rtp: [1, 2, 2] # number of subdivision on each direction
nproc_sub: 2 # number of processors for sweep parallelization
use_gpu: false # true if use gpu (EXPERIMENTAL)
############################################
# output file setting #
############################################
output_setting:
output_dir: ./OUTPUT_FILES/ # path to output director (default is ./OUTPUT_FILES/)
output_source_field: false # output the calculated field of all sources
output_model_dat: false # output model_parameters_inv_0000.dat or not.
output_final_model: true # output merged final model or not.
output_in_process: true # output model at each inv iteration or not.
output_in_process_data: false # output src_rec_file at each inv iteration or not.
single_precision_output: false # output results in single precision or not.
verbose_output_level: 0 # output internal parameters, if 0, only model parameters are out. Higher level, more internal parameters are output. default: 0
output_file_format: 0 # in/output file format, if 0: HDF5, if 1: ASCII
#################################################
# inversion or forward modeling #
#################################################
# run mode
# 0 for forward simulation only,
# 1 for inversion
# 2 for earthquake relocation
# 3 for inversion+earthquake relocation
run_mode: 1
###################################################
# model update parameters setting #
###################################################
model_update: # update model parameters (when run_mode : 1 and 3)
max_iterations: 3 # maximum number of inversion iterations
optim_method: 1 # optimization method. 0 : grad_descent, 1 : halve-stepping, 2 : lbfgs (EXPERIMENTAL)
# common parameters for all optim methods
step_length: 0.01 # step length of model perturbation at each iteration. 0.01 means maximum 1% perturbation for each iteration.
# parameters for optim_method 0 (grad_descent)
optim_method_0:
step_length_decay: 0.9 # if objective function increase, step size -> step length * step_length_decay. default: 0.9
# parameters for optim_method 1 (halve-stepping) or 2 (lbfgs)
optim_method_1_2:
max_sub_iterations: 10 # maximum number of each sub-iteration
regularization_weight: 0.01 # weight value for regularization (lbfgs mode only)
coefs_regulalization_rtp: [1.0, 1.0, 1.0] # coefficients for regularization on each direction(lbfgs mode only)
# smoothing
smoothing:
smooth_method: 0 # 0: multiparametrization, 1: laplacian smoothing (EXPERIMENTAL)
l_smooth_rtp: [100, 100, 100] # smoothing coefficients for laplacian smoothing
# parameters for smooth method 0 (multigrid model parametrization)
n_inversion_grid: 5 # number of inversion grid sets
# inversion grid type
type_invgrid_dep: 0 # 0: uniform inversion grid, 1: flexible grid
type_invgrid_lat: 0 # 0: uniform inversion grid, 1: flexible grid
type_invgrid_lon: 0 # 0: uniform inversion grid, 1: flexible grid
# settings for uniform inversion grid (if type_*_inv : 0)
n_inv_dep_lat_lon: [5, 10, 10] # number of the base inversion grid points (ignored if type_*_inv : 1)
min_max_dep_inv: [-10, 10] # depth in km (Radius of the earth is defined in config.h/R_earth) (ignored if type_dep_inv : 1)
min_max_lat_inv: [37.7, 42.3] # latitude in degree
min_max_lon_inv: [22.7, 27.3] # longitude in degree
# settings for flexible inversion grid (if type_*_inv : 1)
dep_inv: [-10.0, -7.5, -5.0, -2.5, 0.0, 2.5, 5.0, 7.5, 10.0] # depth in km (Radius of the earth is defined in config.h/R_earth)
lat_inv: [0.0, 1.0] # latitude in degree (ignored if type_lat_inv : 0)
lon_inv: [0.0, 1.0] # longitude in degree (ignored if type_lon_inv : 0)
# if we want to use another inversion grid for inverting anisotropy, set invgrid_ani: true (default: false)
invgrid_ani: false
# settings for flexible inversion grid for anisotropy (only flexible grid input is provided)
# dep_inv_ani: [1, 1, 1]
# lat_inv_ani: [1, 1, 1]
# lon_inv_ani: [1, 1, 1]
# inversion grid volume rescale (kernel -> kernel / volume of inversion grid mesh),
# this precondition may be carefully applied if the sizes of inversion grids are unbalanced
invgrid_volume_rescale: false
# path to station correction file (under development)
use_sta_correction: false
# sta_correction_file: dummy_sta_correction_file # station correction file path
#step_length_sc: 0.001 step length relate to the update of station correction terms
# path to station correction file
#use_sta_correction: false
#sta_correction_file: dummy_sta_correction_file # station correction file path
# 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: [0, 9999, 1.0, 1.0] # XXX is the absolute traveltime residual (second) = abs(t^{obs}_{n,i} - t^{syn}_{n,j})
distance_weight: [0, 9999, 1.0, 1.0] # 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: [0, 0, 0, 0] # 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: [0, 0, 0, 0] # 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: [0, 0, 0, 0] # 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: [0, 0, 0, 0] # 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
#update_rad_ani : false # update radial anisotropy (in future) or not. default: false
# -------------- for teleseismic inversion (under development) --------------
# depth_taper : [d1,d2] means:
# if XXX < d1, kernel <- kernel * 0.0
# if d1 <= XXX < d2, kernel <- kernel * (XXX-d1)/(d2-d1), (linear interpolation)
# if d2 <= XXX , kernel <- kernel * 1.0
# You can easily set d1 = -200, d1 = -100 to remove this taper.
depth_taper : [-1e+07, -1e+07]
#################################################
# relocation parameters setting #
#################################################
relocation: # update earthquake hypocenter and origin time (when run_mode : 2 and 3)
min_Ndata: 4 # if the number of data of the earthquake is less than <min_Ndata>, the earthquake will not be relocated. defaut value: 4
# relocation_strategy
step_length : 0.01 # step length of relocation perturbation at each iteration. 0.01 means maximum 1% perturbation for each iteration.
step_length_decay : 0.9 # if objective function increase, step size -> step length * step_length_decay. default: 0.9
rescaling_dep_lat_lon_ortime : [10, 1, 1, 0.5] # The perturbation is related to <rescaling_dep_lat_lon_ortime>. Unit: km,km,km,second
max_change_dep_lat_lon_ortime : [10, 1, 1, 0.5] # the change of dep,lat,lon,ortime do not exceed max_change. Unit: km,km,km,second
max_iterations : 501 # maximum number of iterations for relocation
tol_gradient : 0.001 # if the norm of gradient is smaller than the tolerance, the iteration of relocation terminates
# -------------- using absolute traveltime data --------------
abs_time:
use_abs_time : false # 'yes' for using absolute traveltime data to update model parameters; 'no' for not using (no need to set parameters in this section)
residual_weight : [0, 0, 0, 0] # XXX is the absolute traveltime residual (second) = abs(t^{obs}_{n,i} - t^{syn}_{n,j})
distance_weight : [0, 0, 0, 0] # XXX is epicenter distance (km) between the source and receiver related to the data
# -------------- using common receiver differential traveltime data --------------
cr_dif_time:
use_cr_time : false # 'yes' for using common receiver differential traveltime data to update model parameters; 'no' for not using (no need to set parameters in this section)
residual_weight : [0, 0, 0, 0] # 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 : [0, 0, 0, 0] # 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_local_weight: 1 # weight of absolute traveltime data for relocation after balance, default: 1.0
cr_dif_time_local_weight: 1 # weight of common receiver differential traveltime data for relocation after balance, default: 1.0
####################################################################
# inversion strategy for tomography and relocation #
####################################################################
inversion_strategy: # update model parameters and earthquake hypocenter iteratively (when run_mode : 3)
inv_mode : 0 # 0 for update model parameters and relocation iteratively. (other options for future work)
# for inv_mode : 0, parameters below are required
inv_mode_0: # update model for <model_update_N_iter> steps, then update location for <relocation_N_iter> steps, and repeat the process for <max_loop> loops.
model_update_N_iter : 1
relocation_N_iter : 1
max_loop : 10
# --- parameters for core solver ---------------------------------------------------------
# --- please do not change the following parameters unless you know what you are doing ---
########################################################################
# Scheme of Eikonal solver (fast sweeping method) #
########################################################################
calculation:
convergence_tolerance: 0.0001 # threshold value for checking the convergence for each forward/adjoint run
max_iterations: 500 # number of maximum iteration for each forward/adjoint run
stencil_order: 3 # order of stencil, 1 or 3
stencil_type: 0 # 0: , 1: first-order upwind scheme (only sweep_type 0 is supported)
sweep_type: 1 # 0: legacy, 1: cuthill-mckee with shm parallelization