stochastic_processes_data_analysis/7_Brownian_Motion_Animation.ipynb

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    "# Brownian motion\n",
    "\n",
    "- [Summary of simulation methods](#summary)\n",
    "- [Simulations with on-the-fly animation](#simulation)"
   ]
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    "<div id=\"summary\" />\n",
    "\n",
    "## Summary of simulation methods\n",
    "\n",
    "##### Original differential equation\n",
    "\n",
    "\\begin{equation}\n",
    "\\frac{d\\mathbf{R}(t)}{dt}=\\mathbf{V}(t)\\tag{F1}\n",
    "\\end{equation}\n",
    "\n",
    "\\begin{equation}\n",
    "m\\frac{d\\mathbf{V}(t)}{dt}=\\color{black}{-\\zeta\\mathbf{V}(t)}+\\color{black}{\\mathbf{F}(t)} \n",
    "\\tag{F2}\n",
    "\\end{equation}\n",
    "$\\hspace{80mm}$with\n",
    "\\begin{equation}\n",
    "\\langle \\mathbf{F}(t)\\rangle=\\mathbf{0} \n",
    "\\tag{F3}\n",
    "\\end{equation}\n",
    "\n",
    "\\begin{equation}\n",
    "\\langle \\mathbf{F}(t)\\mathbf{F}(0)\\rangle = {2k_B T\\zeta}\\mathbf{I}\\delta(t)  \n",
    "\\tag{F4}\n",
    "\\end{equation}\n",
    "\n",
    "##### Euler method\n",
    "\n",
    "$$\n",
    "\\mathbf{V}_{i+1}\n",
    "=\\left(1-\\frac{\\zeta}{m}\\Delta t\\right)\\mathbf{V}_i + \\frac{1}{m} {\\Delta \\mathbf{W}_i} \n",
    "\\tag{F9}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{R}_{i+1}=\\mathbf{R}_i+\\mathbf{V}_i \\Delta t \\hspace{15mm}\\tag{B3}\n",
    "$$\n",
    "$\\hspace{80mm}$with\n",
    "\\begin{equation}\n",
    "\\langle \\Delta \\mathbf{W}_i\\rangle=\\mathbf{0} \n",
    "\\tag{F10}\n",
    "\\end{equation}\n",
    "\n",
    "\\begin{equation}\n",
    "\\langle \\Delta \\mathbf{W}_i\\Delta \\mathbf{W}_j\\rangle = {2k_B T\\zeta}\\Delta t\\mathbf{I}\\delta_{ij}  \n",
    "\\tag{F11}\n",
    "\\end{equation}\n",
    "\n",
    "##### 2nd order Runge-Kutta method\n",
    "\n",
    "$$\n",
    "\\mathbf{V}'_{i+\\frac{1}{2}}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}\\frac{\\Delta t}{2}\\mathbf{V}_{i}  \n",
    "=\\left(1-\\frac{\\zeta}{m}\\frac{\\Delta t}{2}\\right)\\mathbf{V}_{i}  \n",
    "\\tag{F12}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{V}_{i+1}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}\\Delta t\\mathbf{V}'_{i+\\frac{1}{2}} + \\frac{1}{m} {\\Delta \\mathbf{W}_i} \n",
    "\\tag{F13}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{R}_{i+1}=\\mathbf{R}_i+\\mathbf{V}'_{i+\\frac{1}{2}} \\Delta t \\hspace{15mm}\n",
    "\\tag{F14}\n",
    "$$\n",
    "\n",
    "##### 4th order Runge-Kutta method\n",
    "\n",
    "$$\n",
    "\\mathbf{V}'_{i+\\frac{1}{2}}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}\\frac{\\Delta t}{2}\\mathbf{V}_{i}  \n",
    "\\tag{F15}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{V}''_{i+\\frac{1}{2}}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}\\frac{\\Delta t}{2}\\mathbf{V}'_{i+\\frac{1}{2}}  \n",
    "\\tag{F16}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{V}'''_{i+1}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}{\\Delta t}\\mathbf{V}''_{i+\\frac{1}{2}}  \n",
    "\\tag{F17}\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\mathbf{V}_{i+1}\n",
    "=\\mathbf{V}_i-\\frac{\\zeta}{m}\\frac{\\Delta t}{6}\\left(\\mathbf{V}+\\mathbf{V}'_{i+\\frac{1}{2}}+\\mathbf{V}''_{i+\\frac{1}{2}}+\\mathbf{V}'''_{i+1}\\right) + \\frac{1}{m} {\\Delta \\mathbf{W}_i} \n",
    "\\tag{F18}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathbf{R}_{i+1}=\\mathbf{R}_i+\n",
    "\\frac{\\Delta t}{6}\\left(\\mathbf{V}+\\mathbf{V}'_{i+\\frac{1}{2}}+\\mathbf{V}''_{i+\\frac{1}{2}}+\\mathbf{V}'''_{i+1}\\right)\n",
    "\\hspace{15mm}\n",
    "\\tag{F19}\n",
    "$$"
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    "<div id=\"simulation\" />\n",
    "\n",
    "## Simulations with on-the-fly animation"
   ]
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       "'\\nV1 = np.zeros([nump, dim])\\n\\ndef animate(i):\\n    global R, V, W, Rs, Vs, Ws, time\\n    time[i] = i*dt\\n    W = std*np.random.randn(nump, dim) # generate an array of random forces accordingly to Eqs.(F10) and (F11)\\n    # 2nd order Runge-Kutta method\\n    V1 = V*(1 - zeta/m*0.5*dt)\\n    V = V - V1*zeta/m*dt+W/m\\n    R = R + V1*dt\\n    Rs[i, :, :] = R\\n    Vs[i, :, :] = V\\n    Ws[i, :, :] = W\\n    title.set_text(r\"t = \" + str(time[i]))\\n    line.set_data(Rs[:i+1, n, 0], Rs[:i+1, n, 1])\\n    line.set_3d_properties(Rs[:i+1, n, 2])\\n    particles.set_data(R[:, 0], R[:, 1])\\n    particles.set_3d_properties(R[:, 2])\\n    return particles, title, line\\n'"
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.mlab as mlab\n",
    "import matplotlib.animation as animation\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "%matplotlib nbagg\n",
    "plt.style.use(\"ggplot\")\n",
    "\n",
    "def init():\n",
    "    global R, V, W, Rs, Vs, Ws, time\n",
    "    R[:, :] = 0.0\n",
    "    V[:, :] = 0.0\n",
    "    W[:, :] = 0.0\n",
    "    Rs[:, :, :] = 0.0\n",
    "    Vs[:, :, :] = 0.0\n",
    "    Ws[:, :, :] = 0.0\n",
    "    time[:] = 0.0\n",
    "    title.set_text(r\"\")\n",
    "    line.set_data([], []) # set line data to show the trajectory of particle n in 2d (x,y)\n",
    "    line.set_3d_properties([]) # add z-data separately for 3d plot\n",
    "    particles.set_data([], []) # set position current (x,y) position data for all particles\n",
    "    particles.set_3d_properties([]) # add current z data of particles to get 3d plot\n",
    "    return particles, title, line\n",
    "\n",
    "# Solve by Euler method.\n",
    "def animate(i):\n",
    "    global R, V, W, Rs, Vs, Ws, time\n",
    "    time[i] = i*dt\n",
    "    W = std*np.random.randn(nump, dim) # generate an array of random forces accordingly to Eqs.(F10) and (F11)\n",
    "    R, V = R + V*dt, V*(1 - zeta/m*dt) + W/m # update R & V via Eqs.(F5) and (F9)\n",
    "    Rs[i, :, :] = R\n",
    "    Vs[i, :, :] = V\n",
    "    Ws[i, :, :] = W\n",
    "    title.set_text(r\"t = \" + str(time[i])) # set the title to display the current time\n",
    "    line.set_data(Rs[:i+1, n, 0], Rs[:i+1, n, 1]) # set the line in 2D (x,y)\n",
    "    line.set_3d_properties(Rs[:i+1, n, 2]) # add z axis to set the line in 3D\n",
    "    particles.set_data(R[:, 0], R[:, 1]) # set the current position of all the particles in 2d (x,y)\n",
    "    particles.set_3d_properties(R[:, 2]) # add z axis to set the particle in 3D\n",
    "    return particles, title, line\n",
    "\n",
    "# Solve by 2nd order Runge-Kutta method\n",
    "\"\"\"\n",
    "V1 = np.zeros([nump, dim])\n",
    "\n",
    "def animate(i):\n",
    "    global R, V, W, Rs, Vs, Ws, time\n",
    "    time[i] = i*dt\n",
    "    W = std*np.random.randn(nump, dim) # generate an array of random forces accordingly to Eqs.(F10) and (F11)\n",
    "    # 2nd order Runge-Kutta method\n",
    "    V1 = V*(1 - zeta/m*0.5*dt)\n",
    "    V = V - V1*zeta/m*dt+W/m\n",
    "    R = R + V1*dt\n",
    "    Rs[i, :, :] = R\n",
    "    Vs[i, :, :] = V\n",
    "    Ws[i, :, :] = W\n",
    "    title.set_text(r\"t = \" + str(time[i]))\n",
    "    line.set_data(Rs[:i+1, n, 0], Rs[:i+1, n, 1])\n",
    "    line.set_3d_properties(Rs[:i+1, n, 2])\n",
    "    particles.set_data(R[:, 0], R[:, 1])\n",
    "    particles.set_3d_properties(R[:, 2])\n",
    "    return particles, title, line\n",
    "\"\"\""
   ]
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       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim = 3 # system dimension (x,y,z)\n",
    "nump = 1000 # number of independent Brownian particles to simulate \n",
    "nums = 1024 # number of simulation steps\n",
    "dt = 0.05 # set time increment, \\Delta t\n",
    "zeta = 1.0 # set friction constant, \\zeta\n",
    "m = 1.0 # set particle mass, m\n",
    "kBT = 1.0 # set temperatute, k_B T\n",
    "std = np.sqrt(2*kBT*zeta*dt) # calculate std for \\Delta W via Eq.(F11)\n",
    "\n",
    "np.random.seed(0)\n",
    "R = np.zeros([nump, dim]) # array to store current positions and set initial condition Eq.(F12)\n",
    "V = np.zeros([nump, dim]) # array to store current velocities and set initial condition Eq.(F12)\n",
    "W = np.zeros([nump, dim]) # array to store current random forcces\n",
    "Rs = np.zeros([nums, nump, dim]) # array to store positions at all steps\n",
    "Vs = np.zeros([nums, nump, dim]) # array to store velocities at all steps\n",
    "Ws = np.zeros([nums, nump, dim]) # array to store random forces at all steps\n",
    "time = np.zeros([nums])\n",
    "\n",
    "fig = plt.figure(figsize=(10, 10)) # set fig with its size 10 x 10 inch\n",
    "ax = fig.add_subplot(111, projection=\"3d\")\n",
    "box = 40 # set draw area as box^3\n",
    "ax.set_xlim(-box/2, box/2)\n",
    "ax.set_ylim(-box/2, box/2)\n",
    "ax.set_zlim(-box/2, box/2)\n",
    "ax.set_xlabel(r\"x\", fontsize=20)\n",
    "ax.set_ylabel(r\"y\", fontsize=20)\n",
    "ax.set_zlabel(r\"z\", fontsize=20)\n",
    "ax.view_init(elev=12, azim=120)\n",
    "particles, = ax.plot([], [], [], \"ro\", ms=8, alpha=0.5)\n",
    "title = ax.text(-180., 0. , 250., r\"\", transform=ax.transAxes, va=\"center\")\n",
    "line, = ax.plot([], [], [], \"b\", lw=1, alpha=0.8)\n",
    "\n",
    "n = 0 # trajectry line is plotted for the n-th particle\n",
    "\n",
    "anim = animation.FuncAnimation(fig, func=animate, init_func=init, frames=nums , interval=5, blit=True, repeat=False)\n",
    "\n",
    "## If you have ffmpeg installed on your machine \n",
    "## you can save the animation by uncomment the last line\n",
    "## You may install ffmpeg by typing the following command in command prompt\n",
    "## conda install -c menpo ffmpeg\n",
    "## \n",
    "# anim.save(\"movie.mp4\",fps=50,dpi=100)"
   ]
  }
 ],
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