test_slider_plots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "complicated-match",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building GrOpt . . .\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "os.chdir(\"./python/\")\n",
    "\n",
    "import build_gropt\n",
    "build_gropt.build_gropt()\n",
    "import gropt\n",
    "\n",
    "from helper_utils import *\n",
    "from interactive_plots import plot_waveform_interactive\n",
    "from slider_plots import plot_waveform_sliders\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "from IPython.core.display import display, HTML\n",
    "init_notebook_mode(connected = True)\n",
    "config={'showLink': False, 'displayModeBar': False}\n",
    "from timeit import default_timer as timer\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cathedral-matrix",
   "metadata": {},
   "outputs": [
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\"xanchor\": \"left\", \"y\": 0.825, \"yanchor\": \"top\"}], \"width\": 900, \"xaxis\": {\"title\": {\"text\": \"$t [ms]$\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('afe3c93c-68d4-4155-bf8d-90748edfb711');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G_list = []\n",
    "p_list = []\n",
    "\n",
    "params = {}\n",
    "params['mode'] = 'diff_bval'\n",
    "params['gmax']  = 0.05\n",
    "params['smax']  = 50.0\n",
    "params['MMT']  = 2\n",
    "params['TE']  = 97.0\n",
    "params['T_readout']  = 16.0\n",
    "params['T_90']  = 4.0\n",
    "params['T_180']  = 6.0\n",
    "params['dt']  = 200e-6\n",
    "\n",
    "G, dd = gropt.gropt(params, verbose=1)\n",
    "G_list.append(G)\n",
    "p_list.append(params)\n",
    "\n",
    "params = {}\n",
    "params['mode'] = 'diff_bval'\n",
    "params['gmax']  = 0.05\n",
    "params['smax']  = 50.0\n",
    "params['MMT']  = 1\n",
    "params['TE']  = 82.0\n",
    "params['T_readout']  = 16.0\n",
    "params['T_90']  = 4.0\n",
    "params['T_180']  = 6.0\n",
    "params['dt']  = 200e-6\n",
    "\n",
    "G, dd = gropt.gropt(params, verbose=1)\n",
    "G_list.append(G)\n",
    "p_list.append(params)\n",
    "\n",
    "params = {}\n",
    "params['mode'] = 'diff_bval'\n",
    "params['MMT'] = 0\n",
    "params['gmax'] = 50\n",
    "params['smax'] = 100.0\n",
    "params['T_readout'] = 20.0\n",
    "params['T_90'] = 3\n",
    "params['T_180'] = 5\n",
    "params['dt']= 400e-6\n",
    "bval = 1000\n",
    "\n",
    "# ************\n",
    "# Null eddy current for lambda time constant = 60ms\n",
    "# ************\n",
    "params['eddy_params'] = [[60.0, 0.0, 1.0e-4, 0.0]]\n",
    "\n",
    "\n",
    "G_min, T_min = get_min_TE(params, bval, min_TE = 80, max_TE = 120)\n",
    "G_list.append(G_min)\n",
    "p_list.append(params)\n",
    "\n",
    "fig = plot_waveform_sliders(G_list, p_list)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "young-behalf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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