nbody.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import astropy\n",
    "import itertools\n",
    "import matplotlib\n",
    "\n",
    "import numpy             as np\n",
    "import pylab             as pl\n",
    "import matplotlib.pyplot as plt\n",
    "import astropy.units     as u\n",
    "\n",
    "from   astropy.cosmology import FlatLambdaCDM\n",
    "from   IPython.display   import YouTubeVideo\n",
    "from   tools.flops       import flops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "plt.style.use('dark_background')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DESI and the fastest supercomputer in the West"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Understanding _how_ the 30 million galaxies surveyed by DESI actually formed in the Universe is hard, really hard.  So hard in fact that DESI scientists exploit [Summit](https://www.olcf.ornl.gov/summit/), the world's fastest supercomputer[<sup>1</sup>](#Footnotes) at Oak Ridge National Lab to calculate how the distribution of galaxies should look depending on the type of Dark Energy:     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"desihigh/images/summit.jpg\" alt=\"Drawing\" style=\"width: 800px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Costing a cool 325 million dollars to build, Summit is capable of calculating addition and multiplication operations $1.486 \\times 10^{17}$ times a second, equivalent to $1.486 \\times 10^{11}$ MegaFlops or MFLOPS.  For comparison, let's see what Binder provides (you'll need some patience, maybe leave this to later): "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "_ = flops()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So Summit is at least a billion times more powerful!  With Summit, we can resolve the finest details of the distribution of _dark matter_ that all galaxies trace:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"desihigh/images/abacus.png\" alt=\"Drawing\" style=\"width: 600px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the brightest regions signify the densest regions of dark matter in the Universe, in which we expect to find more galaxies (for some zoom-ins, [click here](https://lgarrison.github.io/halos/)).  The video below shows that we have observed this predicted structure in the distribution of real galaxies observed with experiments prior to DESI:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"400\"\n",
       "            src=\"https://www.youtube.com/embed/08LBltePDZw\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x11f7d9890>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo('08LBltePDZw', width=800, height=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Dark matter](https://en.wikipedia.org/wiki/Dark_matter#:~:text=Dark%20matter%20is%20a%20form,%E2%88%9227%20kg%2Fm3.) is a pervasive element in our Universe, making up 25% of the total (energy) density.  With Dark Energy and the common atom (\"baryonic matter\") making up the remainder.  We know next to nothing about Dark Matter, beyond its gravitational attraction of other matter and light in the Universe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fortunately, the equations that describe the evolution of dark matter, rather than the [complex formation of galaxies](https://www.space.com/15680-galaxies.html), are relatively simple for the Universe in which we seem to live.  All that is required is to track the gravitational attraction of dark matter particles (on an expanding stage)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can predict the evolution of dark matter by sampling the gravitational force, velocity and position with a set of (fictitious) particles that each represent a 'clump' of dark matter with some total mass.  Of course, this means we cannot solve for the distribution of dark matter within these clump sized regions, but just the distribution amongst clumps that leads to the structure you can see above.  With Summit, the smallest clump we can resolve is not far from the combined mass of all the stars in the [Milky Way](https://www.nasa.gov/feature/goddard/2019/what-does-the-milky-way-weigh-hubble-and-gaia-investigate):"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"desihigh/images/MilkyWay.jpg\" alt=\"Drawing\" style=\"width: 1000px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start,  we'll initially postition a set of clumps at random positions within a 3D cube and give them zero initial velocities.  Velocities will be generated at subsequent times as the ($1/r^2$) gravitational attraction of a particle to all others causes a net acceleration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_dof(npt=1):\n",
    "  #  Create a set of particles at random positions in a box, which will soon predict the distribution of dark matter \n",
    "  #  as we see above.\n",
    "  xs     = np.random.uniform(0., 1., npt)\n",
    "  ys     = np.random.uniform(0., 1., npt)\n",
    "  zs     = np.random.uniform(0., 1., npt)\n",
    "\n",
    "  pos    = np.vstack((xs,ys,zs)).T\n",
    "  vel    = np.zeros_like(pos)\n",
    "\n",
    "  return  pos, vel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The gravitational force experienced by each dark matter particle is [Newton's](https://en.wikipedia.org/wiki/Isaac_Newton) $F = \\frac{GmM}{r^2} \\hat r$ that you may be familiar with.  We just need to do a thorough job on the book keeping required for to calculate the total force experienced by one particle due to all others:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def g_at_pos(pos, particles, mass, epsilon=1.0, doimages=True):\n",
    "    # eqn. (10) of http://www.skiesanduniverses.org/resources/KlypinNbody.pdf.\n",
    "    # Here epsilon is a fudge factor to stop a blow up of the gravitational force at zero distance.\n",
    "    \n",
    "    delta_r = particles - pos\n",
    "    result  = mass * np.sum(delta_r / (delta_r**2. + epsilon**2.)**(3./2.), axis=0)\n",
    "    \n",
    "    # If 'pos' is one of the particles, then technically we've including the \"self-force\"\n",
    "    # But such a pos will have delta_r = 0, and thus contribute nothing to the total force, as it should!\n",
    "\n",
    "    if doimages:\n",
    "        # Our simulation assumes periodic boundary conditions, so for the acceleration of each particle, there's a \n",
    "        # corresponding acceleration due to the image of the particle produced by applying periodic shifts to its\n",
    "        # position.\n",
    "        shift  = np.array([-1, 0, 1])\n",
    "        images = []\n",
    "\n",
    "        for triple in itertools.product(shift, repeat=3):\n",
    "            images.append(triple)\n",
    "    \n",
    "        images.remove((0, 0, 0))\n",
    "    \n",
    "        images = np.array(images)\n",
    "    \n",
    "        for image in images:\n",
    "            delta_r_displaced = delta_r + image\n",
    "            result += mass * np.sum(delta_r_displaced / (delta_r_displaced**2. + epsilon**2.)**(3./2.), axis=0)\n",
    "\n",
    "    return  result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In a remarkable experiment in 1941, Erik Holmberg used the fact that the brightness of light decays with distance at the same ($1/r^2$) rate as gravity.  To calculate the total force on a 'particle' in his 'simulation', Holmberg placed a lightbulb at the position of each particle and calculated the effective force on a given particle by measuring the total brightness at each point!  The figure below illustrates this idea.\n",
    "\n",
    "Try running the following cell a few times!  You'll get a different random layout of \"lightbulbs\" each time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"750\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax   = plt.subplots(1, 1, figsize=(5,5), dpi=150)\n",
    "\n",
    "xmin, xmax, ymin, ymax = (0., 1., 0., 1.)\n",
    "\n",
    "Ngrid     = 100\n",
    "xx, yy    = np.meshgrid(np.linspace(xmin, xmax, Ngrid), np.linspace(ymin, ymax, Ngrid))\n",
    "epsilon   = 0.1\n",
    "\n",
    "weights   = np.zeros_like(xx)\n",
    "\n",
    "npt = 10\n",
    "pos, vel  = init_dof(npt=npt)\n",
    "\n",
    "for par in pos:\n",
    "  weights += 1. / ((xx - par[0])**2 + (yy - par[1])**2 + epsilon**2.)\n",
    "\n",
    "ax.imshow(weights, extent=(xmin, xmax, ymin, ymax), cmap=plt.cm.afmhot, alpha=1., origin='lower')\n",
    "\n",
    "ax.scatter(pos[:,0], pos[:,1], color='k', edgecolor='w')\n",
    "ax.tick_params(labelbottom=False, labelleft=False, left=False, bottom=False)\n",
    "ax.set_title(f\"Holmberg's Lightbulb Experiment with $N={npt}$ Bulbs\")\n",
    "\n",
    "ax.set_xlim(0., 1.)\n",
    "ax.set_ylim(0., 1.)\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This work was the original concept of gravitational 'N-body' simulations that are described here.  It's almost criminal that only 118 authors have referenced this groundbreaking idea!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"desihigh/images/Holmberg.png\" alt=\"Drawing\" style=\"width: 800px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Today, given the mini supercomputers we often have at our fingertips, we can determine the final distribution of dark matter more accurately with computers than light bulbs.  By evolving an initial homogeneous distribution (a nearly uniform distribution of dark matter clumps, as the universe produces in the Big Bang), we can accurately predict the locations of galaxies (the places where the biggest dark matter clumps form).\n",
    "\n",
    "To do this, we just need to calculate the acceleration on each particle at a series of time steps and update the velocity and position accordingly according to the acceleration that particle experiences.  You'll be familiar with this as the sensation you feel as a car turns a corner, or speeds up. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We'll sample the equations of motion in discrete time steps. \n",
    "dt         = 5e-4\n",
    "nsteps     = 500\n",
    "timesteps  = np.linspace(0, (nsteps)*dt, nsteps, endpoint=False)\n",
    "\n",
    "# Number and mass of particles\n",
    "npt        = 50\n",
    "mass       = 0.25\n",
    "\n",
    "# Whether to draw arrows for the acceleration and velocity\n",
    "draw_acc   = False\n",
    "draw_vel   = False\n",
    "\n",
    "# A small drag term to simulate the real drag dark matter particles experience due to the expanding universe\n",
    "drag = 1e-2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we simply have to run the simulation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "                'This browser does not support binary websocket messages. ' +\n",
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       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
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       "    this.root.appendChild(canvas_div);\n",
       "\n",
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       "    canvas.classList.add('mpl-canvas');\n",
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       "\n",
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       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
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       "    if (this.ratio !== 1) {\n",
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       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
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       "\n",
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       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
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       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
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       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
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       "        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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
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       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
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       "            if (!event.currentTarget.disabled) {\n",
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       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"750\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(5,5), dpi=150)\n",
    "\n",
    "ax.tick_params(labelbottom=False, labelleft=False, left=False, bottom=False)\n",
    "\n",
    "# Reinitialise particles.\n",
    "pos, vel = init_dof(npt=npt)\n",
    "\n",
    "# A helper function to make a nice-looking legend for our arrows\n",
    "# from https://stackoverflow.com/a/22349717\n",
    "def make_legend_arrow(legend, orig_handle,\n",
    "          xdescent, ydescent,\n",
    "          width, height, fontsize):\n",
    "    p = matplotlib.patches.FancyArrow(0, 0.5*height, width, 0, length_includes_head=True, head_width=0.75*height)\n",
    "    return p\n",
    "\n",
    "for index_in_timestep, time in enumerate(timesteps):\n",
    "    ax.clear()\n",
    "\n",
    "    ax.set_title(f'N-body simulation with $N={npt}$ particles')\n",
    "    step_label = ax.text(0.03, .97, f'Step {index_in_timestep}',\n",
    "            transform=ax.transAxes, verticalalignment='top', c='k',\n",
    "            bbox=dict(color='w', alpha=0.8))\n",
    "\n",
    "    dvel                        = np.zeros_like(vel)\n",
    "    dpos                        = np.zeros_like(pos)\n",
    "    acc                         = np.zeros_like(pos)\n",
    "\n",
    "    for index_in_particle in range(npt):\n",
    "        acc[index_in_particle]  = g_at_pos(pos[index_in_particle], pos, mass, epsilon=0.1)\n",
    "\n",
    "        # Update velocities. \n",
    "        dvel[index_in_particle] = dt * acc[index_in_particle]\n",
    "\n",
    "        # Update positions.\n",
    "        dpos[index_in_particle] = dt * vel[index_in_particle]           \n",
    "\n",
    "    vel += dvel - drag*vel\n",
    "    pos += dpos\n",
    "\n",
    "    # Our simulation has periodic boundaries, if you go off one side you come back on the other!\n",
    "    pos = pos % 1.\n",
    "\n",
    "    ax.scatter(pos[:,0], pos[:,1], color='darkorange', edgecolor='w')\n",
    "\n",
    "    # Draw arrows representing the velocity and acceleration vectors, if requested\n",
    "    # The code here is a little verbose to get nice-looking arrows in the legend\n",
    "    arrows = []\n",
    "    if draw_vel:\n",
    "        ax.quiver(pos[:,0], pos[:,1], vel[:,0], vel[:,1], color='w', zorder=0)\n",
    "        arrows += [matplotlib.patches.FancyArrow(0,0, 0.5, 0.6, label='Velocity', color='w')]\n",
    "\n",
    "    if draw_acc:\n",
    "        ax.quiver(pos[:,0], pos[:,1], acc[:,0], acc[:,1], color='darkorange', zorder=0)\n",
    "        arrows += [matplotlib.patches.FancyArrow(0,0, 0.5, 0.6, label='Accel', color='darkorange')]\n",
    "\n",
    "    if draw_vel or draw_acc:\n",
    "        ax.legend(handles=arrows, handler_map={matplotlib.patches.FancyArrow:matplotlib.legend_handler.HandlerPatch(patch_func=make_legend_arrow)},\n",
    "                 facecolor='k', edgecolor='white', framealpha=0.8,\n",
    "                 loc='lower right')\n",
    "\n",
    "    ax.set_xlim(0., 1.)\n",
    "    ax.set_ylim(0., 1.)\n",
    "\n",
    "    fig.canvas.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try playing around with the settings!  More than 100 particles won't run very smoothly, however.\n",
    "\n",
    "With the default settings, you'll find that the particles tend fall into one or two clumps before too long.  This is due to the drag that we put in.  The drag simulates the effect that the expanding universe has on real dark matter particles, which is to slow them down and cause them to group together.  These clumps are known as *halos*, and form \"galactic nurseries\" where gas can gather to form new stars and galaxies."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, when DESI scientists run huge simulations, such as those run on Summit, a total of ~48 _trillion_ particles are solved for.  Don't try this here!  But the results are really quite extraordinary (skip to 6 mins 45 seconds if you're impatient to see the result!):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"400\"\n",
       "            src=\"https://www.youtube.com/embed/LQMLFryA_7k\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x120042e50>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo('LQMLFryA_7k', width=800, height=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this great success, comes added responsibility.  Global computing infrastructure (the data centers that power the internet, the cloud, and supercomputers like Summit),  while fantastic for DESI and science, now has a [carbon footprint](https://en.wikipedia.org/wiki/Carbon_footprint) comparable to the [world airline industry](https://www.hpcwire.com/solution_content/ibm/cross-industry/five-tips-to-reduce-your-hpc-carbon-footprint/) and consumes the same amount of electicity as the country of Iran (82 million people!).  \n",
    "\n",
    "More worrying still, this will soon grow from 2% of the World's energy consumption, to ~30%.  An extraordinary rate! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fortunately, Summit is also among the greenest of supercomputers.  It's 14.7 GFlops/watt means a #1 ranking on the [global Green 500 list 2019](https://www.top500.org/lists/green500/2019/06/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"desihigh/images/Sequoia.jpg\" alt=\"Drawing\" style=\"width: 800px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Footnote\n",
    "1. Well, at least Summit *was* the world's fastest supercomputer while DESI scientists were using it in early 2020.  Japan's Fugaku supercomputer overtook Summit in June 2020.  The world's 500 fastest supercomputers are tracked on the \"Top500\" website here: https://www.top500.org/lists/top500/2020/06/.  Better luck next year, USA!"
   ]
  }
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