{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# !pip install SimPEG\n", "# !pip install empymod" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Marine CSEM apps\n", "\n", "This notebook is designed to understand fundamentals of marine controlled-source electromagnetics (CSEM). \n", "Backend engine is built upon https://github.com/prisae/empymod, and corresponding article can be found in \n", "the leading edge: \n", "\n", "Werthmüller, D., 2017, Getting started with controlled-source electromagnetic 1D modeling: The Leading Edge, 36, 352-355; doi: 10.1190/tle36040352.1." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "nbpresent": { "id": "4cf9c8a2-cf5f-45cd-b5da-0b1c7fe23108" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "import numpy as np # NumPy\n", "import matplotlib.pyplot as plt # Matplotlib\n", "from matplotlib import rcParams # To adjust some plot settings\n", "from empymod import bipole, utils # Load required empymod functions\n", "# Plot-style adjustments\n", "%pylab inline\n", "rcParams['font.size'] = 14" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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sXboUgYGBOHbsGOLi4tC0aVO89dZb0nrXrl2LxYsX48MPP8SqVaswevRo9OzZ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\nQosWLRAeHo7t27c3ZJoGE3JuDWUJ8/rgwQMoFAp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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "d1, d2, d3, d4 = 0., 1000., 2000., 2200.\n", "rho0, rho1, rho2, rho3, rho4 = 1e8, 0.3, 1., 100., 1.\n", "lamda0, lamda1, lamda2, lamda3, lamda4 = 1., 1., 1., 1., 1.\n", "\n", "depth = [d1, d2, d3, d4] # Layer boundaries\n", "res = [rho0, rho1, rho2, rho3, rho4] # Anomaly resistivities\n", "aniso = [lamda0, lamda1, lamda2, lamda3, lamda4] # Layer anisotropies (same for anomaly and background)\n", "\n", "# Modelling parameters\n", "verb = 1\n", "\n", "# Spatial parameters\n", "zsrc = 999. # Src-depth\n", "dx = 500.\n", "dy = 500.\n", "x = np.r_[-100., np.arange(10)*dx + dx] # Offsets\n", "y = np.r_[-100., np.arange(10)*dy + dy] # Offsets\n", "\n", "mid_d = (np.array(depth)[:-1] + np.array(depth)[1:]) * 0.5\n", "z = np.r_[-500, depth[0], mid_d[0], depth[1], mid_d[1], mid_d[2], depth[2] + 500., depth[2]+1000.]\n", "nlayers = 5\n", "srcloc = np.r_[0., 0., zsrc]\n", "\n", "pdepth = np.repeat(np.r_[-500, depth], 2)\n", "pdepth[:-1] = pdepth[1:]\n", "pdepth[-1] = 2*depth[-1]\n", "pres = np.repeat(res, 2)\n", "pani = np.repeat(aniso, 2)\n", "\n", "# Create figure\n", "fig = plt.figure(figsize=(7,5), facecolor='w')\n", "fig.subplots_adjust(wspace=.25, hspace=.4)\n", "# plt.suptitle(name, fontsize=20)\n", "\n", "# Plot Resistivities\n", "ax1 = plt.subplot(1, 2, 1)\n", "plt.plot(pres, -pdepth, 'k')\n", "plt.xscale('log')\n", "plt.xlim([.2*np.array(res).min(), 2*np.array(res)[1:].max()])\n", "plt.ylim([-1.5*depth[-1], 500])\n", "plt.ylabel('z (m)')\n", "plt.xlabel(r'Resistivity $\\rho_h\\ (\\Omega\\,\\rm{m})$')\n", "\n", "# Plot anisotropies\n", "ax2 = plt.subplot(1, 2, 2)\n", "plt.plot(pani, -pdepth, 'k')\n", "plt.xlim([0, 2])\n", "plt.ylim([-1.5*depth[-1], 500])\n", "plt.xlabel(r'$\\rho_v$ / $\\rho_h$')\n", "ax2.yaxis.tick_right()\n", "ax1.grid(True)\n", "ax2.grid(True)\n", "ax1.text(2, -0.5*(-500 + d1), \"Air\")\n", "ax1.text(2, -0.5*(d1 + d2), \"Seawater\")\n", "ax1.text(2, -0.5*(d2 + d3), \"Sea sediment\")\n", "ax1.text(2, -0.5*(d3 + d4) - 50., \"Reservoir\")\n", "ax1.text(2, -0.5*(d4 + d4+1000.), \"Sea sediment\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Load required empymod functions\n", "from empymod import bipole, utils \n", "def csem_layered_earth(\n", " srcloc, rxlocs, depth, res, aniso, frequency,\n", " nlayers=5, src_type = \"electric\", rx_type = \"electric\",\n", " src_direction=\"x\", rx_direction=\"x\", verb=0\n", "): \n", " \"\"\"\n", " Simulating CSEM response in a layered earth \n", " \"\"\"\n", " # Safety checks\n", " if len(depth) != nlayers-1:\n", " raise Exception(\"Length of depth should be nlayers-1\")\n", " if len(res) != nlayers:\n", " raise Exception(\"Length of res should be nlayers\")\n", " if len(aniso) != nlayers:\n", " raise Exception(\"Length of aniso should be nlayers\")\n", " \n", " if srcloc.size != 3: \n", " raise Exception(\"size of srcloc should be 3! (x, y, z) location\")\n", " \n", " rxlocs = np.atleast_2d(rxlocs)\n", " \n", " if src_direction == \"x\":\n", " src = np.r_[srcloc.flatten(), 0., 0.].tolist()\n", " elif src_direction == \"y\":\n", " src = np.r_[srcloc.flatten(), 90., 0.].tolist() \n", " elif src_direction == \"z\": \n", " src = np.r_[srcloc.flatten(), 0., 90.].tolist() \n", " else:\n", " raise Exception(\"src_direction should be x, y, or z\") \n", "\n", " if rx_direction == \"x\":\n", " rx = [rxlocs[:,0], rxlocs[:,1], rxlocs[:,2], 0., 0.]\n", " elif rx_direction == \"y\":\n", " rx = [rxlocs[:,0], rxlocs[:,1], rxlocs[:,2], 90., 0.] \n", " elif rx_direction == \"z\": \n", " rx = [rxlocs[:,0], rxlocs[:,1], rxlocs[:,2], 0., 90.] \n", " else:\n", " raise Exception(\"rx_direction should be x, y, or z\") \n", " if rx_type is \"electric\":\n", " rx_type = None\n", " if src_type is \"electric\":\n", " src_type = None\n", " if len(np.unique(np.array(res))) == 1:\n", " xdirect = True\n", " else: \n", " xdirect = False\n", " inpdat = {'res': res, 'src': src, 'rec': rx, 'depth': depth,\n", " 'freqtime': frequency, 'aniso': aniso, 'verb': verb, 'xdirect':xdirect, 'mrec':rx_type, 'msrc':src_type}\n", " out = bipole(**inpdat) \n", " return utils.EMArray(out)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def viz_plane(x, z, vx, vz, depth, zsrc, label=\"Electric field (V/A-m)\", xlabel=\"X (m)\", clim=None, title=None, xlim=None, ylim=None, plane=\"XZ\"):\n", " fig = plt.figure(figsize = (12, 5))\n", " ax = plt.subplot(111)\n", " nskip = 5\n", " eps = 1e-31\n", " vabs = np.sqrt(vx**2+vz**2) + eps\n", " fxrtemp = (-vx/vabs).reshape((x.size, z.size))[:, :].T\n", " fzrtemp = (-vz/vabs).reshape((x.size, z.size))[:, :].T\n", " fabs_temp = vabs.reshape((x.size, z.size))[:, :].T\n", " X, Z = meshgrid(x, z)\n", " \n", " if clim is not None:\n", " vabs[vabs<10**clim[0]] = 10**clim[0]\n", " vabs[vabs>10**clim[1]] = 10**clim[1] \n", " vmin, vmax = clim[0], clim[1]\n", " out = ax.contourf(x, -z, np.log10(vabs.reshape((x.size, z.size)).T), 100, clim=(vmin, vmax), vmin=vmin, vmax=vmax) \n", " out = ax.scatter(np.zeros(3)-1000, np.zeros(3), c=np.linspace(vmin, vmax, 3))\n", " else:\n", " out = ax.contourf(x, -z, np.log10(vabs.reshape((x.size, z.size)).T), 100) \n", " vmin, vmax = out.get_clim()\n", " cb = plt.colorbar(out, ticks=np.linspace(vmin, vmax, 5), format=\"10$^{%.0f}$\")\n", " cb.set_label(label)\n", " for d_temp in depth:\n", " ax.plot(np.r_[-100, 10000], np.ones(2) * -d_temp, 'w-', lw=1, alpha=0.5)\n", " if plane == \"XZ\":\n", " scale = 0.0025\n", " else:\n", " scale = 0.0025\n", " Q = ax.quiver(x, -z, fxrtemp, fzrtemp, pivot='mid', units=\"xy\", scale = scale, color=\"k\", alpha=0.5)\n", " Q.headlength = 2\n", " Q.headaxislength=2 \n", " temp = np.log10(fabs_temp/fabs_temp.max())\n", " ax.scatter(X.flatten(), -Z.flatten(), color='b', s= ( temp + abs(temp).max()) / abs(temp).max() * 100. * 1, alpha = 0.8)\n", " ax.set_xlim(x.min(), x.max())\n", " ax.set_ylim(ylim)\n", " ax.set_xlabel(xlabel)\n", " ax.set_ylabel(\"Z (m)\")\n", " ax.set_title(title)\n", " if plane == \"XZ\":\n", " ax.quiver(-100, zsrc, 1, 0, scale=3, units=\"inches\", headlength=2, headaxislength=2, color=\"r\")\n", " ax.text(-100, zsrc-200., \"HED\")\n", " elif plane == \"YZ\":\n", " ax.plot(0, zsrc, 'ro')\n", " ax.text(-100, zsrc-200., \"HED\")\n", " elif plane == \"XY\":\n", " ax.plot(0, 0, 'ro')\n", " ax.text(-100, -200., \"HED\")\n", "\n", "# plt.gca().set_aspect(\"equal\")\n", " return out" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def csem_fields_app(\n", " frequency, zsrc,\n", " rho0, rho1, rho2, rho3, rho4, \n", " dz1, dz2, dz3, \n", " rv_rh, Field, Plane,\n", " Fixed, vmin, vmax\n", "):\n", "\n", " lamda0, lamda1, lamda2, lamda3, lamda4 = 1., 1., 1., 1., 1.\n", " d = np.r_[0., np.cumsum(np.r_[dz1, dz2, dz3])]\n", " depth = [d[0], d[1], d[2], d[3]] # Layer boundaries\n", " res = [rho0, rho1, rho2, rho3, rho4] # Anomaly resistivities\n", " aniso = [1., 1., rv_rh, 1., 1.] # Layer anisotropies (same for anomaly and background)\n", "\n", " # Modelling parameters\n", " verb = 1\n", "\n", " # Spatial parameters\n", "# zsrc = 999. # Src-depth\n", " nrx = 20\n", " dx = 500.\n", " dy = 500.\n", " x = np.r_[-100., np.arange(nrx)*dx + dx] # Offsets\n", " y = np.r_[-100., np.arange(nrx)*dy + dy] # Offsets\n", "\n", " mid_d = (np.array(depth)[:-1] + np.array(depth)[1:]) * 0.5\n", " z = np.r_[-500, depth[0], mid_d[0], depth[1], mid_d[1], mid_d[2], depth[2] + 500., depth[2]+1000.]\n", " nlayers = 5\n", " srcloc = np.r_[0., 0., -zsrc]\n", " \n", " if Plane ==\"XZ\":\n", " X, Y, Z = np.meshgrid(x, np.r_[0.], z)\n", " rxlocs = np.c_[X.flatten(), Y.flatten(), Z.flatten()]\n", " ex = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"x\")\n", " ez = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"z\")\n", " hy = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"y\", rx_type=\"magnetic\") \n", " x0, x1 = x.copy(), z.copy()\n", " xlabel = \"X (m)\"\n", " if Field == \"E\":\n", " label = \"Electric field (V/m)\"\n", " val0, val1 = -ex.real, ez.real\n", " elif Field == \"H\":\n", " raise Exception(\"Only Hy exists, so that you cannot make vector plot\")\n", " elif Field == \"P\":\n", " label = \"Poynting vector (W/A-m$^2$)\" \n", " sx = 0.5 * (ez * hy.conj()).real\n", " sz = 0.5 * (ex * hy.conj()).real \n", " val0, val1 = sx.copy(), sz.copy()\n", " \n", " elif Plane ==\"YZ\":\n", " X, Y, Z = np.meshgrid(np.r_[0.], y, z)\n", " rxlocs = np.c_[X.flatten(), Y.flatten(), Z.flatten()]\n", " ex = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"x\")\n", " hy = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"y\", rx_type=\"magnetic\") \n", " hz = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"z\", rx_type=\"magnetic\") \n", " x0, x1 = y.copy(), z.copy() \n", " xlabel = \"Y (m)\"\n", " if Field == \"E\":\n", " raise Exception(\"Only ex exists, so that you cannot make vector plot\")\n", " elif Field == \"H\":\n", " label = \"Magnetic field (A/m)\"\n", " val0, val1 = -hy.imag, hz.imag\n", " elif Field == \"P\":\n", " label = \"Poynting vector (W/A-m$^2$)\" \n", " sy = 0.5 * (ex * hz.conj()).real\n", " sz = 0.5 * (ex * hy.conj()).real \n", " val0, val1 = sy.copy(), sz.copy() \n", " \n", " ex = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"x\")\n", " ez = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"z\")\n", " hy = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=\"y\", rx_type=\"magnetic\")\n", " if Fixed:\n", " clim = (np.log10(vmin), np.log10(vmax))\n", " else:\n", " clim = None\n", " ylim = (-z).min(), 100\n", " viz_plane(x0, x1, val0, val1, depth, zsrc, title=\" \", label=label, xlabel=xlabel, plane=Plane, clim=clim, ylim=ylim)\n", " " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from ipywidgets import interactive, FloatText, ToggleButtons, widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Fields app" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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haJjt9vO5XT1XhW0HFpcermmNwM/P5+vnMUykHW5HolpJ00IrH68UxI2PH8Ye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+83DAC8VnulGgrc3BA+UF/pA8CvAR/BtF4DaJge7x+x20hHD6zKiZZ1ZCelzHbS1l6WUVdO0Ftf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ZvPd5qk6sV+eaMY5D9vxF7ESSgaOHVuqQfOEm4g+/GXshAmII3nKO6Hu/iXek0B0NnDrlAyzt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\nGUwutyKYMrPXyMy6TU+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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Q1 = interactive(\n", " csem_fields_app, \n", " rho0=FloatText(value=1e8, description='$\\\\rho_{0} \\ (\\Omega m)$'), \n", " rho1=FloatText(value=0.3, description='$\\\\rho_{1} \\ (\\Omega m)$'),\n", " rho2=FloatText(value=1., description='$\\\\rho_{2} \\ (\\Omega m)$'),\n", " rho3=FloatText(value=100., description='$\\\\rho_{3} \\ (\\Omega m)$'),\n", " rho4=FloatText(value=1., description='$\\\\rho_{4} \\ (\\Omega m)$'),\n", " zsrc=FloatText(value=-950., description='src height (m)'),\n", " rv_rh=FloatText(value=1., description='$\\\\rho_{2 \\ v} / \\\\rho_{2 \\ h}$'),\n", " dz1=FloatText(value=1000., description=\"dz1 (m)\"),\n", " dz2=FloatText(value=1000., description=\"dz2 (m)\"),\n", " dz3=FloatText(value=200., description=\"dz3 (m)\"),\n", " frequency = FloatText(value=0.5, description='f (Hz)'),\n", " Field = ToggleButtons(options =['E','H','P'],value='E'),\n", " Plane = ToggleButtons(options =['XZ','YZ'],value='XZ'), \n", " Fixed=widgets.widget_bool.Checkbox(value=False),\n", " vmin=FloatText(value=None), \n", " vmax=FloatText(value=None), \n", " __manual = True\n", " ); Q1" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def csem_data_app(\n", " frequency, zsrc, zrx,\n", " rho0, rho1, rho2, rho3, rho4, rv_rh, rho3BG,\n", " dz1, dz2, dz3, \n", " Field, Plane, Component, Complex, scale,\n", " Fixed, vmin, vmax\n", " ):\n", "\n", " lamda0, lamda1, lamda2, lamda3, lamda4 = 1., 1., 1., 1., 1.\n", " d = np.r_[0., np.cumsum(np.r_[dz1, dz2, dz3])]\n", " depth = [d[0], d[1], d[2], d[3]] # Layer boundaries\n", " res = [rho0, rho1, rho2, rho3, rho4] # Anomaly resistivities\n", " resBG = [rho0, rho1, rho2, rho3BG, rho4] # Anomaly resistivities \n", " aniso = [1., 1., rv_rh, 1., 1.] # Layer anisotropies (same for anomaly and background)\n", " anisoBG = [1., 1., 1., 1., 1.] # Layer anisotropies (same for anomaly and background) \n", "\n", " # Modelling parameters\n", " verb = 1\n", "\n", " # Spatial parameters\n", " dx = 50.\n", " dy = 50.\n", " nrx = 200\n", " x = np.r_[np.arange(nrx)*dx + dx] # Offsets\n", " y = np.r_[np.arange(nrx)*dy + dy] # Offsets \n", " z = np.ones_like(x) * -zrx\n", " srcloc = np.r_[0., 0., -zsrc]\n", " \n", " if Plane ==\"XZ\":\n", " rxlocs = np.c_[x, np.zeros_like(x), z]\n", " xlabel = \"X offset (m)\"\n", " x0 = y.copy()\n", " \n", " elif Plane ==\"YZ\":\n", " rxlocs = np.c_[np.zeros_like(x), y, z]\n", " xlabel = \"Y offset (m)\"\n", " x0 = x.copy()\n", "\n", " if Field == \"E\":\n", " label = \"Electric field (V/m)\"\n", " data = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=Component) \n", " dataBG = csem_layered_earth(srcloc, rxlocs, depth, resBG, aniso, frequency, rx_direction=Component)\n", " elif Field == \"H\":\n", " label = \"Magnetic field (A/m)\" \n", " data = csem_layered_earth(srcloc, rxlocs, depth, res, aniso, frequency, rx_direction=Component, rx_type=\"magnetic\") \n", " dataBG = csem_layered_earth(srcloc, rxlocs, depth, resBG, aniso, frequency, rx_direction=Component, rx_type=\"magnetic\") \n", " if Complex == \"Real\":\n", " val = data.real\n", " valBG = dataBG.real \n", " elif Complex == \"Imag\":\n", " val = data.imag \n", " valBG = dataBG.imag \n", " elif Complex == \"Amp\":\n", " val = data.amp\n", " valBG = dataBG.amp \n", " elif Complex == \"Phase\": \n", " val = data.pha\n", " valBG = dataBG.pha\n", " label = \"Phase (degree)\"\n", " fig = plt.figure(figsize = (8, 3))\n", " ax = plt.subplot(111)\n", " if scale == \"log\":\n", " ax.plot(x, abs(val), 'r')\n", " ax.plot(x, abs(valBG), 'k') \n", " elif scale == \"linear\":\n", " ax.plot(x, val, 'r')\n", " ax.plot(x, valBG, 'k') \n", " ax.grid(True)\n", " ax.set_xlabel(xlabel)\n", " ax.set_ylabel(label) \n", " ax.set_yscale(scale)\n", " ax.legend((\"Canonical\", \"Background\"))\n", " if Complex == \"Amp\":\n", " title = \"|\"+ Field + Component+\"|\"\n", " else:\n", " title = Complex +\"(\"+ Field + Component+\")\"\n", " ax.set_title(title)\n", " if Fixed:\n", " ax.set_ylim(vmin, vmax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data app" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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swY83ALcYYw45+sVUzvotXMiXY8dy5OxZWrdowc4VK1wdklJKqRLGkTER/wPG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\n4rPPPmPhwoW8+uqrvPTSS9SrV48+ffr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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Q2 = interactive(\n", " csem_data_app, \n", " rho0=FloatText(value=1e8, description='$\\\\rho_{0} \\ (\\Omega m)$'), \n", " rho1=FloatText(value=0.3, description='$\\\\rho_{1} \\ (\\Omega m)$'),\n", " rho2=FloatText(value=1., description='$\\\\rho_{2} \\ (\\Omega m)$'),\n", " rho3=FloatText(value=100., description='$\\\\rho_{3} \\ (\\Omega m)$'),\n", " rho3BG=FloatText(value=1., description='$\\\\rho_{BG \\ 3} \\ (\\Omega m)$'), \n", " rho4=FloatText(value=1., description='$\\\\rho_{4} \\ (\\Omega m)$'),\n", " zsrc=FloatText(value=-950., description='src height (m)'),\n", " zrx=FloatText(value=-1000., description='rx height (m)'), \n", " rv_rh=FloatText(value=1., description='$\\\\rho_{2 \\ v} / \\\\rho_{2 \\ h}$'),\n", " dz1=FloatText(value=1000., description=\"dz1 (m)\"),\n", " dz2=FloatText(value=1000., description=\"dz2 (m)\"),\n", " dz3=FloatText(value=200., description=\"dz3 (m)\"),\n", " frequency = FloatText(value=0.5, description='f (Hz)'),\n", " Field = ToggleButtons(options =['E','H'],value='E'),\n", " Plane = ToggleButtons(options =['XZ','YZ'],value='XZ'), \n", " Component = ToggleButtons(options =['x','y', 'z'], value='x', description=\"rx direction\"), \n", " Complex = ToggleButtons(options =['Real','Imag', \"Amp\", \"Phase\"],value='Amp'),\n", " scale = ToggleButtons(options =['log','linear'], value='log'), \n", " Fixed=widgets.widget_bool.Checkbox(value=False),\n", " vmin=FloatText(value=None), \n", " vmax=FloatText(value=None), \n", " __manual = True\n", " )\n", "display(Q2)" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.5" }, "nbpresent": { "slides": { 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