gw150914.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# What Gravitational wave Template fits GW150914 the best? #\n",
    "\n",
    "Try to fit the LIGO detector data of the GW150914 binary black hole merger to a gravitational-wave template. You can adjust the masses and the spin of the template with the sliders below and see how well it matches up to the data, and how much signal-to-noise you are able to extract. A higher signal-to-noise indicates you have a better match to this data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "import pycbc.filter.matchedfilter_cpu\n",
    "pycbc.filter.matchedfilter_cpu.correlate = pycbc.filter.matchedfilter_cpu.correlate_numpy\n",
    "import pycbc.types\n",
    "from pycbc.catalog import Merger\n",
    "from pycbc.psd import interpolate, inverse_spectrum_truncation\n",
    "\n",
    "ifos = ['H1', 'L1']\n",
    "m = Merger(\"GW150914\")\n",
    "z = m.median1d('redshift')\n",
    "\n",
    "# Load in the detector data\n",
    "data = {ifo:pycbc.types.load_timeseries('gw150914.hdf', group=ifo).time_slice(m.time-8, m.time+8) for ifo in ifos}    \n",
    "\n",
    "# Calculate the power spectral density for each ifo\n",
    "psd = {}\n",
    "for ifo in ifos:\n",
    "    psd[ifo] = interpolate(data[ifo].psd(4), data[ifo].delta_f)\n",
    "    psd[ifo] = inverse_spectrum_truncation(psd[ifo], int(4 * data[ifo].sample_rate),\n",
    "                                           low_frequency_cutoff=15.0)\n",
    "\n",
    "# Create a whitened version of the data for plotting\n",
    "wdata = {}\n",
    "for ifo in ifos:\n",
    "    wdata[ifo] = data[ifo].whiten(4, 4).lowpass_fir(350, 1024).highpass_fir(30, 1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pycbc.waveform import get_fd_waveform\n",
    "from pycbc.filter import matched_filter\n",
    "from pycbc.filter import sigma\n",
    "\n",
    "def make_snr(ifo, m1, m2, s12):\n",
    "    # Use source frame\n",
    "    m1 *= (1 + z)\n",
    "    m2 *= (1 + z)\n",
    "    hp, hc = get_fd_waveform(approximant=\"IMRPhenomD\", mass1=m1, mass2=m2, spin1z=s12, spin2z=s12,\n",
    "                             f_lower=25, delta_f=data[ifo].delta_f)\n",
    "    hp.resize(len(data[ifo])//2+1)\n",
    "    \n",
    "    snr = matched_filter(hp, data[ifo], psd=psd[ifo], low_frequency_cutoff=30.0)\n",
    "    snr = snr.time_slice(m.time - 1, m.time + 1)\n",
    "    \n",
    "    # Scale template to peak time, phase and amplitude\n",
    "    a = snr.abs_arg_max()\n",
    "    spm = snr[a]\n",
    "    dt = snr.sample_times[a] - data[ifo].start_time\n",
    "    hp.start_time = data[ifo].start_time + dt\n",
    "    snr.template = (hp / sigma(hp, psd=psd[ifo], low_frequency_cutoff=30.0) * spm).cyclic_time_shift(dt)\n",
    "    \n",
    "    # Whiten the and bandpass the template as we've done to the data\n",
    "    snr.template = (snr.template / psd[ifo] ** 0.5).to_timeseries()\n",
    "    snr.template = snr.template.crop(4, 4).lowpass_fir(300, 1024).highpass_fir(30, 1024)\n",
    "    snr.m = abs(spm)**2.0\n",
    "    \n",
    "    return snr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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       "\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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.on(\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",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\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": {
      "text/html": [
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\" width=\"999.9999783255842\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec014262306d437fab41b7edbef29faa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=20.0, continuous_update=False, description='$M_1 (M_\\\\odot$)', layout=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import pylab\n",
    "import ipywidgets as gui\n",
    "\n",
    "pax = {}\n",
    "fig, (ax1, pax['H1'], pax['L1'], ax4) = pylab.subplots(4, 1, figsize=[10, 8], sharex=True)\n",
    "ax1.set_ylim(0, 20)\n",
    "lines = {}\n",
    "lt = {}\n",
    "rt = {}\n",
    "\n",
    "labels={'L1':\"LIGO-Livingston\", 'H1':'LIGO-Hanford'}\n",
    "\n",
    "rtime =  1126259462.4\n",
    "ttext = \"September 14 2015, 09:50:45.4 UTC\"\n",
    "\n",
    "for ifo in ifos:\n",
    "    snr = make_snr(ifo, 37, 37, 0)\n",
    "    lines[ifo], = ax1.plot(snr.sample_times.numpy()-rtime, abs(snr).numpy(), label=labels[ifo])    \n",
    "    pax[ifo].plot(wdata[ifo].sample_times.numpy()-rtime, wdata[ifo].numpy(), color='black', label='Detector Strain')\n",
    "    lt[ifo], = pax[ifo].plot(snr.template.sample_times.numpy()-rtime, snr.template.numpy(), color='magenta', label='GW Template')\n",
    "    pax[ifo].set_ylim(-150, 150)   \n",
    "    rt[ifo] = ax4.plot(wdata[ifo].sample_times.numpy()-rtime,\n",
    "                       wdata[ifo].add_into(-1.0*snr.template).numpy(), label=labels[ifo])[0]  \n",
    "    \n",
    "ax1.legend(loc='upper left')\n",
    "pylab.xlim(-0.15, +0.05)\n",
    "\n",
    "ax1.set_title('Signal-to-noise')\n",
    "ax1.set_ylabel(\"Signal-to-noise Ratio (SNR)\")\n",
    "\n",
    "ax4.set_title('Residual')\n",
    "ax4.set_ylim(-150, 150)\n",
    "ax4.legend(loc='upper left')\n",
    "\n",
    "pax['H1'].legend(loc='upper left')\n",
    "pax['L1'].set_ylabel('Whitened Normalized Strain')\n",
    "\n",
    "pax['L1'].get_yaxis().set_label_coords(-0.05,0.5)\n",
    "ax1.get_yaxis().set_label_coords(-0.05,0.5)\n",
    "\n",
    "pax['H1'].set_title('Data from the LIGO Hanford Observatory (whitened and bandpassed)')\n",
    "pax['L1'].set_title('Data from the LIGO Livingston Observatory (whitened and bandpassed)')\n",
    "ax4.set_xlabel('Time from %s' % ttext)\n",
    "pylab.subplots_adjust(hspace=0.4)\n",
    "\n",
    "def plot(m1, m2, s12):\n",
    "    sq = 0\n",
    "    for ifo in ifos:\n",
    "        snr = make_snr(ifo, m1, m2, s12)\n",
    "        lines[ifo].set_ydata(abs(snr).numpy())\n",
    "        lt[ifo].set_ydata(snr.template.numpy())\n",
    "        rt[ifo].set_ydata(wdata[ifo].add_into(-1.0*snr.template))\n",
    "        sq += snr.m\n",
    "    print('Your template has a peak network signal-to-noise of %2.2f' %sq**0.5)\n",
    "    fig.canvas.draw_idle()\n",
    "\n",
    "\n",
    "mslider = gui.FloatSlider(value=20, max=70, min=10,\n",
    "                                readout_format='.1f',\n",
    "                                layout=gui.Layout(width='100%'),\n",
    "                                description='$M_1 (M_\\odot$)',\n",
    "                                step=0.5, continuous_update=False)\n",
    "mslider2 = gui.FloatSlider(value=20, max=70, min=10,\n",
    "                                readout_format='.1f',\n",
    "                                layout=gui.Layout(width='100%'),\n",
    "                                description='$M_2 (M_\\odot$)',\n",
    "                                step=0.5, continuous_update=False)\n",
    "spinslider = gui.FloatSlider(value=0, max=.95, min=-.95,\n",
    "                                readout_format='.2f',\n",
    "                                layout=gui.Layout(width='100%', height='100%'),\n",
    "                                description='Spin',\n",
    "                                step=0.05, continuous_update=False)\n",
    "out = gui.interact(plot, m1=mslider, m2=mslider2, s12=spinslider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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