{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\": \"ufR9RFnRs6lniiaFvtJziE0YeidtAgBRH6ux2oUItHw5WTvE1zuk9uzhUU/FJXDp\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\": \"8QM/PGWBT+IssZuRcDcjzwIh1mkOmJSoNMmyYDZbCfXJg3Ap1lEvdVgFuSAwhb/J\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\": \"Jm8cH3Rg0P6UeZhVY5cLy1WzKajUT9KImCY+76hEqrcJt59/d8GPvFHjCkYgnSIn\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\": \"Ozhzj+SI7ywm74aOI/UajcWz+C0NjsPunEVyVIrxzYkB+jA+2tUw8x5xJCbVtK5I\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\": \"ufR9RFnRs6lniiaFvtJziE0YeidtAgBRH6ux2oUItHw5WTvE1zuk9uzhUU/FJXDp\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\": \"8QM/PGWBT+IssZuRcDcjzwIh1mkOmJSoNMmyYDZbCfXJg3Ap1lEvdVgFuSAwhb/J\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\": \"Jm8cH3Rg0P6UeZhVY5cLy1WzKajUT9KImCY+76hEqrcJt59/d8GPvFHjCkYgnSIn\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\": \"Ozhzj+SI7ywm74aOI/UajcWz+C0NjsPunEVyVIrxzYkB+jA+2tUw8x5xJCbVtK5I\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f602c43191b44c0893fbdd8b16454728",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Choose File:', options=('example_2dDEER.DTA', 'example_2dDEER-Copy1.DTA'), value='exampl…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from scipy import optimize\n",
    "import glob\n",
    "import os\n",
    "\n",
    "\n",
    "from ipywidgets import VBox,HBox, interact, interactive, fixed, interact_manual, FloatSlider, IntSlider\n",
    "import ipywidgets as widgets\n",
    "\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.layouts import column, row, gridplot\n",
    "\n",
    "from src.spectrum import spectrum\n",
    "from src.spec_plot import spec_plot\n",
    "from src.lcurve_plot import lcurve_plot\n",
    "from src.mycolors import mycolors\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "filelist = [os.path.basename(file) for file in glob.glob(os.path.join('data','raw','*.DTA'))]\n",
    "file_picker=widgets.Dropdown(description= 'Choose File:', options= filelist)\n",
    "file_picker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"79ed6690-5d27-4857-acdd-d2719b8cd069\" data-root-id=\"1084\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[754]},\"y\":{\"__ndarray__\":\"JXT0W5ic3T8XsUKQo4XdP0MA0Yfekt0/DH9geZ6d3T9N0FFZFKHdPwhdxk0nkd0/Zk98yVCd3T9nROSqYaHdP6mWXBrHvt0/Jiu3dCO93T/k95u0QJrdP4FFrNG5x90/AWAFv7Wp3T83Q52OrpXdP/FsrI2RhN0/jh0NCruh3T/qXyjYYqPdP7mBx45zf90/rEOMRXme3T8fflIg7IPdPyF7lKmqbt0/TZD941w+3T9/whQEN1HdP9pKB3XsWN0/3EC94osn3T/Ptns+VRvdP3j82ms7Et0/uyZSWCYK3T9vPbnmMSndP8/Cdn9S89w/HCqx/Kne3D+BYANa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\",\"dtype\":\"float64\",\"shape\":[754]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[754]}},\"selected\":{\"id\":\"1098\"},\"selection_policy\":{\"id\":\"1099\"}},\"id\":\"1033\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1011\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1014\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1098\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1105\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"dimension\":1,\"grid_line_alpha\":0.5,\"grid_line_dash\":[6,4],\"ticker\":null},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1065\",\"type\":\"HelpTool\"},{\"attributes\":{\"formatter\":{\"id\":\"1092\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1016\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1050\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1099\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"below\":[{\"id\":\"1011\"}],\"center\":[{\"id\":\"1014\"},{\"id\":\"1018\"}],\"left\":[{\"id\":\"1015\"}],\"outline_line_alpha\":0,\"plot_height\":400,\"plot_width\":647,\"renderers\":[{\"id\":\"1036\"},{\"id\":\"1041\"}],\"title\":{\"id\":\"1086\"},\"toolbar\":{\"id\":\"1026\"},\"x_range\":{\"id\":\"1003\"},\"x_scale\":{\"id\":\"1007\"},\"y_range\":{\"id\":\"1005\"},\"y_scale\":{\"id\":\"1009\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis\":{\"id\":\"1052\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1055\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1064\",\"type\":\"ResetTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1066\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"axis_label\":\"Evolution Time (\\u03bcs)\",\"axis_label_text_font_size\":\"24pt\",\"axis_label_text_font_style\":\"normal\",\"formatter\":{\"id\":\"1094\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1053\"}},\"id\":\"1052\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1053\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"1084\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.2\"}};\n",
       "  var render_items = [{\"docid\":\"c60ec2e7-d0d9-43e9-b09a-5ffd7a07e880\",\"notebook_comms_target\":\"1107\",\"root_ids\":[\"1084\"],\"roots\":{\"1084\":\"79ed6690-5d27-4857-acdd-d2719b8cd069\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1084"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "40db46fb71114285943feabca0153e01",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(interactive(children=(SelectionSlider(description='value', index=3, options=(0, 1, 2, 3), value…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spec = spectrum(os.path.join('data','raw',file_picker.value))\n",
    "\n",
    "\n",
    "#Plot definitions\n",
    "plotlist2D=[spec.raw_time,spec.real2D[0],\n",
    "          spec.raw_time,spec.imaginary2D[0]]\n",
    "\n",
    "plotlistavg = [spec.raw_time,spec.real,\n",
    "               spec.raw_time,spec.imaginary]\n",
    "\n",
    "spec2D = spec_plot(plotlist2D,y_range = (spec.imaginary2D.min(),spec.real2D.max()*1.02))\n",
    "specavg = spec_plot(plotlistavg, y_range = (spec.imaginary.min(),spec.real.max()*1.02)) \n",
    "\n",
    "\n",
    "#Widget Defintions\n",
    "\n",
    "\n",
    "def on_button_clicked(val):\n",
    "    if np.sum(spec.slice_mask)>1: #prevent deleting of all slices\n",
    "        spec.delete_slice(myslider.value)\n",
    "        myslider.options=valuelist[spec.slice_mask]\n",
    "        myslider.value = myslider.options[-1]\n",
    "        spec.avg_slices()\n",
    "        update(myslider.value)\n",
    "    \n",
    "def update(index):\n",
    "    for idx,line in enumerate(spec2D.renderers):\n",
    "        line.data_source.data['y'] = [spec.real2D,spec.imaginary2D][idx][index]\n",
    "        \n",
    "    for idx,line in enumerate(specavg.renderers):\n",
    "        line.data_source.data['y'] = [spec.real,spec.imaginary][idx]\n",
    "        \n",
    "    push_notebook(handle=sliceplots)\n",
    "    return index\n",
    "\n",
    "valuelist=np.arange(spec.real2D.shape[0])\n",
    "\n",
    "myslider=widgets.SelectionSlider(description='value', value=valuelist[-1],options=valuelist)\n",
    "deletebutton=widgets.Button(description='Delete Slice')\n",
    "deletebutton.on_click(on_button_clicked)\n",
    "\n",
    "\n",
    "\n",
    "#Render plots, widgets\n",
    "sliceplots=show(row(spec2D,specavg),notebook_handle=True)\n",
    "HBox([interactive(update,index=myslider),deletebutton])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"5c4904af-6809-4496-b637-d7efb34a0e5b\" data-root-id=\"1260\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[754]}},\"selected\":{\"id\":\"1337\"},\"selection_policy\":{\"id\":\"1338\"}},\"id\":\"1296\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1336\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1265\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#5e81b5\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1293\",\"type\":\"Line\"}],\"root_ids\":[\"1260\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.2\"}};\n",
       "  var render_items = [{\"docid\":\"d1af7ba6-8776-43a0-b2bc-566feb32e1ca\",\"notebook_comms_target\":\"1341\",\"root_ids\":[\"1260\"],\"roots\":{\"1260\":\"5c4904af-6809-4496-b637-d7efb34a0e5b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1260"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "08dae6074c6242389ad29cb60bcf2380",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(interactive(children=(SelectionSlider(description='Cutoff', index=753, options=(-0.068, -0.0600…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cutoffx=[spec.raw_time.max(),spec.raw_time.max()]\n",
    "cutoffy=[-.1,1]\n",
    "\n",
    "cutoffslider=widgets.SelectionSlider(description='Cutoff', value=spec.raw_time[-1], options=spec.raw_time)\n",
    "signal=spec.real+1j*spec.imaginary\n",
    "forphasing=signal[int(len(signal)/8):list(spec.raw_time).index(cutoffslider.value)]\n",
    "spec.phase=optimize.fmin(lambda x:abs((forphasing*np.e**(1j*x)).imag.mean()),1,disp=False)[0]\n",
    "phaseslider=widgets.FloatSlider(description='Phase', value=spec.phase, min=-np.pi, max=np.pi, step=0.001)\n",
    "\n",
    "\n",
    "plotlist=[spec.raw_time,np.real(signal*np.e**(1j*spec.phase))/np.max(np.real(signal*np.e**(1j*spec.phase))),\n",
    "          spec.raw_time,np.imag(signal*np.e**(1j*spec.phase))/np.max(np.real(signal*np.e**(1j*spec.phase)))]\n",
    "\n",
    "\n",
    "phaseplot=spec_plot(plotlist)\n",
    "phaseplot.line(cutoffx,cutoffy, color=(255,0,0), line_width=1) #decorate plot with cutoff line\n",
    "phaser=show(phaseplot, notebook_handle=True);\n",
    "\n",
    "\n",
    "phasebutton=widgets.Button(description='Phase')\n",
    "kernelbutton=widgets.Button(description='Build Kernel')\n",
    "\n",
    "def phase_button_clicked(val):\n",
    "    forphasing=signal[int(len(signal)/8):list(spec.raw_time).index(cutoffslider.value)]\n",
    "    spec.phase=optimize.fmin(lambda x:abs((forphasing*np.e**(1j*x)).imag.mean()),1,disp=False)[0]\n",
    "    phaseslider.value=spec.phase\n",
    "    \n",
    "def kernel_button_clicked(val):\n",
    "    \n",
    "    spec.tmax = cutoffslider.value\n",
    "    spec.cutoff=cutoffslider.value # is cutoff needed (and not just as spec.tmax) ??\n",
    "    spec.build_kernel()\n",
    "    spec.real=np.real(signal*np.e**(1j*spec.phase))/np.max(np.real(signal*np.e**(1j*spec.phase)))\n",
    "    spec.imag=np.imag(signal*np.e**(1j*spec.phase))/np.max(np.real(signal*np.e**(1j*spec.phase)))\n",
    "    \n",
    "   \n",
    "\n",
    "    \n",
    "def updatePhase(value):\n",
    "    phaseplot.renderers[-3].data_source.data['y'] = np.real(signal*np.e**(1j*value))/np.max(np.real(signal*np.e**(1j*value)))\n",
    "    phaseplot.renderers[-2].data_source.data['y'] = np.imag(signal*np.e**(1j*value))/np.max(np.real(signal*np.e**(1j*value)))\n",
    "    phaseplot.renderers[-1].data_source.data['y'] = [np.min(np.imag(signal*np.e**(1j*value))/np.max(np.real(signal*np.e**(1j*value)))),1]\n",
    "    push_notebook(handle=phaser)\n",
    "    return value\n",
    "\n",
    "def updateCutoff(value):\n",
    "    phaseplot.renderers[-1].data_source.data['x'] = [value,value]\n",
    "    push_notebook(handle=phaser)\n",
    "    return value\n",
    "\n",
    "#kernel,spec.t,spec.r,Lmatrix,spec.cutoff = \n",
    "\n",
    "phasebutton.on_click(phase_button_clicked)\n",
    "kernelbutton.on_click(kernel_button_clicked)\n",
    "HBox([interactive(updateCutoff,value=cutoffslider),interactive(updatePhase,value=phaseslider),phasebutton,kernelbutton])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"994b48dd-8cd7-4d9f-b537-1369a259addd\" data-root-id=\"1638\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"3071c414-7f1b-4ed3-ab36-d2e4e5147d55\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1637\"},{\"id\":\"1635\"}]},\"id\":\"1638\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"1600\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1570\"},\"dimension\":1,\"grid_line_alpha\":0.5,\"grid_line_dash\":[6,4],\"ticker\":null},\"id\":\"1573\",\"type\":\"Grid\"},{\"attributes\":{\"data\":{\"x\":[0.004980405110457598],\"y\":[0.9981087299266537]},\"selected\":{\"id\":\"1606\"},\"selection_policy\":{\"id\":\"1607\"}},\"id\":\"1501\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1598\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_color\":{\"value\":\"rgb(255, 0, 0)\"},\"line_color\":{\"value\":\"rgb(255, 0, 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       "  var render_items = [{\"docid\":\"3071c414-7f1b-4ed3-ab36-d2e4e5147d55\",\"notebook_comms_target\":\"1713\",\"root_ids\":[\"1638\"],\"roots\":{\"1638\":\"994b48dd-8cd7-4d9f-b537-1369a259addd\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
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       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
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       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
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       "        embed_document(root);\n",
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       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
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      ],
      "application/vnd.bokehjs_exec.v0+json": ""
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       "id": "1638"
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     "output_type": "display_data"
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    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f7ae8161d59346dbb3d7a7be797479be",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(interactive(children=(IntSlider(value=18, description='Fit window', max=25, min=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#initial fit, finding spectrum start\n",
    "#need to reimplement different types of background models\n",
    "\n",
    "def gaussian(x,r,s,a):\n",
    "    return a*np.exp(-((x- r)**2/(2*s**2)))\n",
    "\n",
    "def bg3D(x,b,c):\n",
    "    return b*np.exp(-x/c)\n",
    "\n",
    "\n",
    "symmetry_point=np.argmax(spec.raw_time>=-spec.raw_time[0])+1 #find index of symmetry point about t=0,+1 for non inclusive\n",
    "spec.zeropoint,__,spec.zeroamp = gaussfit = optimize.curve_fit(gaussian,\n",
    "                                                               spec.raw_time[1:symmetry_point],\n",
    "                                                               spec.real[1:symmetry_point])[0]\n",
    "spec.update_ranges()\n",
    "bgfit = optimize.curve_fit(bg3D,spec.raw_time[spec.background_range],\n",
    "                         spec.real[spec.background_range])[0]\n",
    "\n",
    "spec.background_correct(bg3D(spec.raw_time,*bgfit))\n",
    "\n",
    "#zeropeak plot\n",
    "plotlist = np.array([spec.raw_time,spec.real,\n",
    "                     spec.raw_time,gaussian(spec.raw_time,*gaussfit)])[:,1:symmetry_point]\n",
    "\n",
    "zeropointx = [spec.zeropoint]*2\n",
    "zeropointy = [spec.real[1:symmetry_point].min(),1]\n",
    "\n",
    "zeropeak = spec_plot(plotlist, plot_height=300)\n",
    "zeropeak.line(zeropointx, zeropointy, color=(0,255,0))\n",
    "zeropeak.circle([spec.zeropoint], [spec.zeroamp], color=(255,0,0))\n",
    "\n",
    "#bg fit plot\n",
    "plotlist=[spec.raw_time,spec.real,\n",
    "          spec.raw_time,bg3D(spec.raw_time,*bgfit)]\n",
    "\n",
    "cutoffx=[spec.cutoff]*2\n",
    "cutoffy=[spec.real.min(),1]\n",
    "\n",
    "backgroundx=[spec.background]*2\n",
    "backgroundy=[spec.real.min(),1]\n",
    "\n",
    "bgsub=spec_plot(plotlist,plot_height=300)\n",
    "bgsub.line(cutoffx,cutoffy,color=(255,0,0))\n",
    "bgsub.line(backgroundx,backgroundy,color=(0,0,255))\n",
    "\n",
    "#waveform plot (x was np.arange(0,len(spec.waveform))*spec.dt previously)\n",
    "plotlist=[spec.t,spec.waveform]\n",
    "waveformplot=spec_plot(plotlist,plot_height=300)\n",
    "\n",
    "\n",
    "processingplots = show(gridplot([[zeropeak,bgsub],[None,waveformplot]]),notebook_handle=True)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "windowslider=widgets.IntSlider(description='Fit window', \n",
    "                               value=symmetry_point, min=4+np.argmax(spec.real==spec.real.max()), max=round(len(spec.raw_time)/30))\n",
    "bgslider=widgets.SelectionSlider(description='Background Start', \n",
    "                                 value=spec.background, \n",
    "                                 options=spec.raw_time[4+np.argmax(spec.real==spec.real.max()):np.argmax(spec.raw_time==spec.cutoff)-20])\n",
    "normalizer=widgets.Dropdown(description= 'V(t=0)', options=[\"Gaussian Fit\",\n",
    "                                   \"Gaussian Center, Data Maximum Amp\", \n",
    "                                   \"Data Max Center, Data Maximum Amp\"])\n",
    "\n",
    "def updateBg(value): \n",
    "    spec.background = value\n",
    "    spec.update_ranges()\n",
    "    bgfit=optimize.curve_fit(bg3D,spec.raw_time[spec.background_range],\n",
    "                         spec.real[spec.background_range])[0]\n",
    "    \n",
    "    bgsub.renderers[-3].data_source.data['y']=bg3D(spec.raw_time,*bgfit)\n",
    "    bgsub.renderers[-1].data_source.data['x']=[value]*2\n",
    "    \n",
    "    spec.background_correct(bg3D(spec.raw_time,*bgfit))\n",
    "    \n",
    "    waveformplot.renderers[-1].data_source.data={'x':spec.t,'y':spec.waveform}\n",
    "    \n",
    "    push_notebook(handle=processingplots)\n",
    "\n",
    "\n",
    "def updateWindow(value):\n",
    "    spec.zeropoint,__,spec.zeroamp = gaussfit = optimize.curve_fit(gaussian,\n",
    "                                                                   spec.raw_time[1:value],\n",
    "                                                                   spec.real[1:value])[0]\n",
    "\n",
    "    if normalizer.value == \"Gaussian Center, Data Maximum Amp\":\n",
    "        spec.zeroamp = spec.real[abs(spec.raw_time-spec.zeropoint).argmin()]\n",
    "    elif normalizer.value == \"Data Max Center, Data Maximum Amp\":\n",
    "        spec.zeropoint = spec.raw_time[np.argmax(spec.real==spec.real.max())]\n",
    "        spec.zeroamp = spec.real.max()\n",
    "        \n",
    "    spec.update_ranges()\n",
    "    updateBg(bgslider.value)\n",
    "    \n",
    "    newx=spec.raw_time[1:value]\n",
    "    newy=spec.real[1:value]\n",
    "    fity=gaussian(newx,*gaussfit)\n",
    "    plot_order = [[newx,newy],\n",
    "                  [newx,fity],\n",
    "                  [[spec.zeropoint]*2,[newy.min(),1]],\n",
    "                  [[spec.zeropoint],[spec.zeroamp]]]\n",
    "    \n",
    "    for idx, line in enumerate(zeropeak.renderers):\n",
    "        line.data_source.data = {'x': plot_order[idx][0], 'y': plot_order[idx][1]}\n",
    "\n",
    "    \n",
    "    push_notebook(handle=processingplots)\n",
    "    \n",
    "\n",
    "def updateNorm(value):\n",
    "    normMethod = value\n",
    "    updateWindow(windowslider.value)\n",
    "    updateBg(bgslider.value)\n",
    "\n",
    "VBox([HBox([interactive(updateWindow,value=windowslider),interactive(updateNorm,value=normalizer)]),\n",
    "HBox([interactive(updateBg,value=bgslider)])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "  var render_items = [{\"docid\":\"8355c65e-2b66-4cd2-9152-e097a289f914\",\"notebook_comms_target\":\"4120\",\"root_ids\":[\"3913\"],\"roots\":{\"3913\":\"1d811b70-6988-408f-aa43-7c1db8b0b4d0\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "3913"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fe4a44ab97ef4d0bac3606b6032ddbe4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(interactive(children=(IntSlider(value=31, description='Alpha Value', max=50), Output()), _dom_c…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spec.generate_lcurve()\n",
    "\n",
    "#l-curve compoenents\n",
    "residualnorm=np.linalg.norm(spec.tikhonovfits-spec.waveform,axis=1)**2\n",
    "solutionnorm=np.linalg.norm(np.dot(spec.Lmatrix,spec.solutions.T).T,axis=1)**2\n",
    "alphavalue=(residualnorm/(np.sum(1-spec.hMats,axis=1))**2).argmin()\n",
    "optimalalpha=alphavalue\n",
    "\n",
    "#l-curve\n",
    "lcurve = lcurve_plot([residualnorm,solutionnorm],plot_height=300)\n",
    "lcurve.circle([residualnorm[optimalalpha]], [solutionnorm[optimalalpha]],color=(255,0,0))\n",
    "lcurve.circle([residualnorm[alphavalue]], [solutionnorm[alphavalue]],color=(0,0,0))\n",
    "\n",
    "#waveform fit\n",
    "plotlist = [spec.t,spec.waveform,\n",
    "            spec.t,spec.tikhonovfits[alphavalue]]\n",
    "tikresults=spec_plot(plotlist,plot_height=300)\n",
    "\n",
    "#fit residual\n",
    "tikresidual=spec_plot([spec.t,spec.waveform-spec.tikhonovfits[alphavalue]],\n",
    "                      plot_height=300,\n",
    "                      y_range=([(spec.waveform-spec.tikhonovfits[optimalalpha]).min(),\n",
    "                                (spec.waveform-spec.tikhonovfits[optimalalpha]).max()]))\n",
    "\n",
    "#Distance distributions\n",
    "plotlist = [spec.r,spec.solutions[optimalalpha],\n",
    "            spec.r,spec.solutions[alphavalue]]\n",
    "distances = spec_plot(plotlist,plot_height = 300,colorlist = [(255,0,0),mycolors(0)])\n",
    "distances.xaxis.axis_label=\"Distance (nm)\"\n",
    "# show the results\n",
    "\n",
    "\n",
    "lcurveplots = show(gridplot([[lcurve,tikresidual],[tikresults,distances]]),notebook_handle=True)\n",
    "\n",
    "def updateAlpha(value):\n",
    "    spec.alpha=spec.alphas[value]\n",
    "    tikresidual.renderers[-1].data_source.data['y']=spec.waveform-spec.tikhonovfits[value]\n",
    "    tikresults.renderers[-1].data_source.data['y']=spec.tikhonovfits[value]\n",
    "    lcurve.renderers[-1].data_source.data={'x':[residualnorm[value]],'y':[solutionnorm[value]]}\n",
    "    distances.renderers[-1].data_source.data['y'] = spec.solutions[value]\n",
    "\n",
    "    push_notebook(handle=lcurveplots)\n",
    "\n",
    "alphaslider=widgets.IntSlider(description='Alpha Value', value=optimalalpha, min=0, max=len(spec.alphas)-1)\n",
    "HBox([interactive(updateAlpha,value=alphaslider)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##BG VALIDATION\n",
    "backgroundstart = .2 #starting position for bg validation\n",
    "numberofbackgrounds = 100 #modify to change number of bg validation\n",
    "cutoffoffset = 30 #Number of points behind cutoff to end fititng\n",
    "noisetries = 1; #noise validation iterations. 1 is using only raw data with no noise added\n",
    "cutindex = abs(spec.rawt-spec.cutoff).argmin()\n",
    "bgstartindex = abs(spec.rawt-backgroundstart).argmin()\n",
    "\n",
    "bgstepsize = np.floor((cutindex - cutoffoffset - bgstartindex)/(numberofbackgrounds - 1))\n",
    "if bgstepsize == 0:\n",
    "    bgstepsize = 1"
   ]
  }
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