diff --git "a/Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/00_OpenSWI-shallow-example.ipynb" "b/Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/00_OpenSWI-shallow-example.ipynb" deleted file mode 100644--- "a/Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/00_OpenSWI-shallow-example.ipynb" +++ /dev/null @@ -1,129 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import sys\n", - "sys.path.append(\"../../../\")\n", - "from SWIDP.process_1d_shallow import augment_workflow\n", - "from SWIDP.dispersion import generate_mixed_samples,calculate_dispersion,transform_vp_to_vs,transform_vs_to_vel_model\n", - "from p_tqdm import p_map" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b196789cdbed48b5b997b539ef6d1a59", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/100 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# step1: get 1d velocity model (vp model or vs)\n", - "depth_vp = np.loadtxt(\"./vp_demo.txt\")\n", - "depth = depth_vp[:,0]\n", - "vp = depth_vp[:,1]\n", - "\n", - "# step2: generate velocity model (depth, vp, vs, rho)\n", - "vs = transform_vp_to_vs(vp)\n", - "\n", - "# step3: vs model augmentation\n", - "augment_nums = 100\n", - "vs_perturbation = 0.05 # relative ratio\n", - "thickness_perturbation = 0.1 # relative ratio\n", - "vel_threshold = 0.05 # km/s\n", - "thickness_threshold = 0.01 # km\n", - "min_layers_num = 3 \n", - "smooth_vel = False\n", - "smoothnodes = 10\n", - "vs_augmented = augment_workflow(vs,depth,\n", - " perturb_num = augment_nums,\n", - " vs_perturbation=vs_perturbation,\n", - " thickness_perturbation=thickness_perturbation,\n", - " vel_threshold=vel_threshold,\n", - " thickness_threshold=thickness_threshold,\n", - " min_layers_num=min_layers_num,\n", - " smooth_vel=smooth_vel,\n", - " smooth_nodes=smoothnodes)\n", - "\n", - "# step4: generate velocity model (depth, vp, vs, rho)\n", - "vel_model_augmented = p_map(transform_vs_to_vel_model,list(vs_augmented),[depth]*len(vs_augmented))\n", - "\n", - "# step5: generate dispersion curves [t,phase velocity, group velocity]\n", - "t = generate_mixed_samples(num_samples=100,start=0.2,end=10,uniform_num=50,log_num=20,random_num=30)\n", - "disp = p_map(calculate_dispersion,vel_model_augmented,[t]*len(vel_model_augmented))\n", - "\n", - "\n", - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(10,5))\n", - "plt.subplot(121)\n", - "for i in range(len(vel_model_augmented)):\n", - " plt.step(vel_model_augmented[i][:,2],depth,c='silver',alpha=0.5)\n", - "plt.step(vel_model_augmented[0][:,2],depth,c='k')\n", - "plt.gca().invert_yaxis()\n", - "\n", - "plt.subplot(122)\n", - "for i in range(len(disp)):\n", - " plt.scatter(disp[i][:,0],disp[i][:,1],s=10,c='pink',alpha=0.5)\n", - " plt.scatter(disp[i][:,0],disp[i][:,2],s=10,c='lightblue',alpha=0.5)\n", - "plt.scatter(disp[0][:,0],disp[0][:,1],s=10,c='r')\n", - "plt.scatter(disp[0][:,0],disp[0][:,2],s=10,c='b')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}