CH4-Introduction_X_Rays.ipynb

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   "source": [
    "\n",
    "## Chapter 4 [Spectroscopy](Ch4-Spectroscopy.ipynb)\n",
    "\n",
    "\n",
    "<hr style=\"height:1px;border-top:4px solid #FF8200\" />\n",
    "\n",
    "# Introduction to X-Rays \n",
    "\n",
    "\n",
    "part of \n",
    "\n",
    "## [Analysis of Scanning Electron Microscope Data](_Analysis_of_Scanning_Electron_Microscope_Data.ipynb)\n",
    "\n",
    "\n",
    "\n",
    "by Gerd Duscher, 2019\n",
    "\n",
    "Microscopy Facilities<br>\n",
    "Joint Institute of Advanced Materials<br>\n",
    "The University of Tennessee, Knoxville\n",
    "\n",
    "Model based analysis and quantification of data acquired with scanning electron microscopes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First we import the essential libraries\n",
    "All we need here should come with the annaconda or any other package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
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    {
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     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# import matplotlib and numpy\n",
    "%pylab --no-import-all notebook\n",
    "\n",
    "__notebook__ = 'CH4-X_Rays'\n",
    "__notebook_version__ = '2019_08_21'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inelastic Scattering:\n",
    "\n",
    "When a high energy electron collides with matter there are several process going on:\n",
    "\n",
    "![inelastic_scattering](./images_SEM/inelastic.jpg)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In an SEM there are quite a few inelastic signals available:\n",
    "- Secondary electrons\n",
    "- X-Rays\n",
    "- Auger electrons\n",
    "- Light (photons in visible range)\n",
    "\n",
    "## X-Rays\n",
    "Here we consider only X-Rays and Auger Electrons as those originate from competing processes:\n",
    "![X-Ray_Auger](./images_SEM/X-Ray_Auger.jpg)\n",
    "\n",
    "The excited atom has two possibilities to return to the ground state:\n",
    "\n",
    "We consider the energy before and after the relaxation process.\n",
    "### X-Ray branch \n",
    "The emitted photon has the energy of the energy gained in the relaxtion process. In the carbon atom case above, an electron from the 2p states relaxes to the *1s* state: from the L$_3$ to the K shell.\n",
    "\n",
    "The energy difference of a  photon is the $E_K$ - $E_L$, which is well in the X-ray range.\n",
    "\n",
    "*Please note that the transition from 2s to 1s is dipole forbidden and cannot occur.*\n",
    "\n",
    "### Auger  branch \n",
    "The emitted electron leaves behind an atom with a closed K shell ($-E_K$) and looses two 2p electrons ($+2 E_L$. This energy will be transfered to the Auger electron as kinetic energy $ E_{kin} = E_K-2E_L$"
   ]
  },
  {
   "cell_type": "code",
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     "text": [
      "X-ray photon has the energy 277 eV\n",
      "Auger electron has the kinetic energy 270 eV\n"
     ]
    }
   ],
   "source": [
    "## \n",
    "E_K = 284 # in eV\n",
    "E_L = 7   # in eV\n",
    "\n",
    "print(f'X-ray photon has the energy {E_K-E_L} eV')\n",
    "print(f'Auger electron has the kinetic energy {E_K-2* E_L} eV')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fluorescent Yield\n",
    "\n",
    "The Auger and X-ray branches are not equally probable. In the carbon atom characteristic X-ray emission occurs at about 26% of the K-shell ionization. \n",
    "\n",
    "The fraction that of the ionization that *yields* photons is called **fluorescent yield** $\\omega$. \n",
    "\n",
    "The fluorescent yield is strongly dependent on the atomic number [E.A. Preoteasa et al. 2012 – ISBN 978-1-61470-208-5]:\n",
    "\n",
    "![fluorescentYield](./images_SEM/fluorescenceYield3.png)\n",
    "\n",
    "The fluorescent yield follows approximatively an equation  of the form:\n",
    "\n",
    "$$ \\omega = \\frac{Z^4}{\\alpha+Z^4} $$\n",
    "with \n",
    "- $Z$: atomic number\n",
    "- $\\alpha$: constant about 10$^6$ for K lines"
   ]
  },
  {
   "cell_type": "code",
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       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"639.9\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Z =  np.linspace(1,100,100)\n",
    "\n",
    "alpha_K = 1e6\n",
    "alpha_L = 6.5e7\n",
    "alpha_M = 8*1e8#2.2e10\n",
    "omega_K = Z**4/(alpha_K+Z**4)\n",
    "omega_L = Z**4/(alpha_L+Z**4)\n",
    "omega_M = Z**4/(alpha_M+Z**4)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(Z,omega_K, label='K')\n",
    "plt.plot(Z,omega_L, label='L')\n",
    "plt.plot(Z,omega_M, label='M')\n",
    "plt.legend()\n",
    "plt.xlabel('atomic number Z')\n",
    "plt.ylabel('fluorescent yield $\\omega$ [photons/ionization]')\n",
    "plt.axhline(y=0., color='gray', linewidth=0.5);\n",
    "\n",
    "## uncomment lines below for log scale \n",
    "#plt.gca().set_yscale('log')\n",
    "#plt.ylim(1e-4, 0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparison\n",
    "\n",
    "The data and formula agree quite well given the simplicty of the model.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(367334,)\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fname = './images_SEM/fluorescenceYield3.png'\n",
    "im = plt.imread(fname)\n",
    "\n",
    "print(data.shape)\n",
    "plt.figure()\n",
    "\n",
    "plt.imshow(im, cmap = 'gray', extent = (-25, 107,-.195,1.055))\n",
    "plt.plot(Z,omega_K, label='K')\n",
    "plt.plot(Z,omega_L, label='L')\n",
    "plt.plot(Z,omega_M, label='M')\n",
    "plt.legend()\n",
    "\n",
    "plt.gca().set_aspect('auto')\n",
    "#plt.axhline(y=0., color='gray', linewidth=0.5);\n",
    "#plt.axhline(y=1., color='gray', linewidth=0.5);\n",
    "#plt.axvline(x=0., color='gray', linewidth=0.5);\n",
    "#plt.axvline(x=100., color='gray', linewidth=0.5);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Energy Dispersive Spectrum\n",
    "\n",
    "\n",
    "An energy dispersive X-ray spectrum (EDS)contains two different parts:\n",
    "- [Characteristic X-ray peaks](./CH4-Characteristic_X_Rays.ipynb)\n",
    "- [Bremsstrahlung](./CH4-Bremsstrahlung.ipynb)\n",
    "    \n",
    "![Spectrum](./images_SEM/Spectrum.png)    \n",
    "\n",
    "\n",
    "The Bremsstrahlung causes the background the characteristic X-ray peaks are sitting on."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Back: [Image Processing](Ch3-ImageProcessing_SEM.ipynb)\n",
    "## Next: [Bremsstrahlung](CH4-Bremsstrahlung.ipynb)\n",
    "## List of Content: [Front](_Analysis_of_Scanning_Electron_Microscope_Data.ipynb#Content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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