40 lines
2.0 KiB
Bash
40 lines
2.0 KiB
Bash
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#!/bin/bash
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# Step 1: Generate necessary input files
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python prepare_input_files.py
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# Step 2: Run forward modeling
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# # for WSL
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# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_signal.yaml
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# # for Linux
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# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_signal.yaml
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# for conda install
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mpirun -n 8 TOMOATT -i 3_input_params/input_params_signal.yaml
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# Step 3: Assign data noise and location perturbation to the observational data
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python assign_gaussian_noise.py
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# Step 4: Do joint inversion
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# # for WSL
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# # step 1. relocation for 50 iterations in the initial model, using traveltimes and common-receiver differential arrival times
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# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step1.yaml
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# # step 2. simultaneously update model parameters and locations for 40 iterations,
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# # using traveltimes and common-source differential arrival times for model update
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# # using traveltimes and common-receiver differential arrival times for location
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# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step2.yaml
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# # step 3. relocation for 50 iterations in the initial model, using only common-receiver differential arrival times
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# mpirun -n 8 --allow-run-as-root --oversubscribe ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step3.yaml
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# # for Linux
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# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step1.yaml
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# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step2.yaml
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# mpirun -n 8 ../../build/bin/TOMOATT -i 3_input_params/input_params_joint_step3.yaml
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# for conda install
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mpirun -n 8 TOMOATT -i 3_input_params/input_params_joint_step1.yaml
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mpirun -n 8 TOMOATT -i 3_input_params/input_params_joint_step2.yaml
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mpirun -n 8 TOMOATT -i 3_input_params/input_params_joint_step3.yaml
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# Step 5 (Optional): Plot the results
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python plot_output.py
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