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   "source": [
    "# Space Py Quest \n",
    "## The Python-Based Gravitational-Wave Detector Game"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Welcome to Space-Py Quest! The aim of the game is simple: detect as many gravitational waves as you can, without blowing your budget.\n",
    "\n",
    "Run ```stq = spaceTimeQuest()``` to start the game, and run ```stq.tabs``` to show the controls. The game will start with random detector paramaters. Your job is to imrpove the detectors. You can alos start the game with a dictionary of parameters, for example to plot the sensitiivity of Advanced LIGO (aLIGO)."
   ]
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pystq.widget as widget\n",
    "from pystq.widget import spaceTimeQuest\n",
    "import pystq.materials as materials\n",
    "import pystq.sites as sites\n",
    "\n",
    "aLIGO = {\n",
    "    'depth' : 0,\n",
    "    'pumps' : 6,\n",
    "    'sus_stages' : 4,\n",
    "    'sus_length' : 0.5,\n",
    "    'mirror_mass' : 40,\n",
    "    'power' : 125,\n",
    "    'roughness' : 100,\n",
    "    'site' : sites.Desert,\n",
    "    'material' : materials.Silica,\n",
    "    'temperature' : 290,\n",
    "}"
   ]
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   "source": [
    "Use the widgets to adjust the detector's configuration. This will change its sensitivity curves on the noise plot below. When you think it's as sensitive as it can be, find the 'Science Run' button widget to see how many detections you make! Can you stay within your budget?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
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   "outputs": [
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QNHGBFMFK4VAphlMejZdhUD41nik3o+FQG+wu+v+woVAJHPibJj2hUAlOl5HrCqGQJ6vSZ07X4ZAC11vk0eUhkAoClBR0cmGQBYrKQHa/4ZAxl37z2I2h0Cj9pDtbG2HQAmdhIz5pIdAHfdH4gndh0CnZSonnxWIQNfPX5a6TohACX8Hbl2IiEAVCzPviMKIQLtW7V0+/YhAzZxBAX84iUAMjkIjTHSJQLt/ERGnsIlAkavlGpHtiUCEgBOUCyuKQBcFFNMXaYpAMEuMMbenikBn9VQM6+aKQILOgcO0JotAoHJpuhVni0C8Cq1XD6iLQFYaQAWj6YtA8l9wMNIrjEDox+1Jnm6MQERy0sUIsoxAosuqGxP2jEAXuX3GvjqNQMnX1EQNgI1Az8/EGADGjUDluvXHmAyOQB2fq9vYU45Acv3O4MGbjkAHdfVnVeSOQIJ6agWVLY9AQyQ4UYJ3j0ByCzDnHsKPQPsgejO2BpBA/C4AOrYskEBITdlaEFOQQBmHqmvFeZBAf3sTRNagkEB5DrO9Q8iQQFElLLQO8JBAFG4qBTgYkUBpMmeQwECRQOI1rjepaZFAt5/i3vKSkUBc8ANsnryRQLACM8es5pFAERm32h4RkkB79gKT9TuSQJ0Dut4xZ5JAUYC1rtSSkkA3wQn23r6SQNV5C6pR65JAQBNVwi0Yk0BUD8w4dEWTQOl4pgkmc5NAt2BwM0Shk0BUZxG3z8+TQF1U0pfJ/pNAu7pi2zIulECGqt6JDF6UQDJw1K1XjpRAdWFKVBW/lEDtt8SMRvCUQI55S2nsIZVATG9w/gdUlUCsKVVjmoaVQLkTsbGkuZVAY5TXBSjtlUA9Pr5+JSGWQDYOAz6eVZZA0rjyZ5OKlkB/Bo8jBsCWQPg+lZr39ZZAwqOE+Wgsl0BK+qRvW2OXQD0lDS/QmpdArs2pbMjSl0AAHERgRQuYQKWAiERIRJhALo0NV9J9mEBh3VrY5LeYQMcQ8AuB8phAytRLOKgtmUBi//KmW2mZQNy6d6ScpZlAY8KAgGzimUDSr9CNzB+aQLJaTSK+XZpAAEkHl0KcmkBBMUFIW9uaQJiOd5UJG5tAxkZo4U5bm0AyYhqSLJybQILW5RCk3ZtAZ2N7yrYfnEAyguwuZmKcQDpos7GzpZxAFRy7yaDpnEBSnmfxLi6dQDUlnqZfc51AKWzNajS5nUDYFvbCrv+dQA4oszfQRp5A9YxCVZqOnkBHvI2rDteeQBRqMs4uIJ9AL1CLVPxpn0BIC7nZeLSfQFUNq/yl/59AclIUsMIloEACDW1VDEygQF7wqMOwcqBAlvAK0rCZoEAMa9RZDcGgQJjgSTbH6KBAB7u3RN8QoUDlHXdkVjmhQJbC8nYtYqFAK+CrX2WLoUCnHj8E/7ShQBmWaUz73qFAi9kNIlsJokDVDTlxHzSiQKoMKChJX6JAqpNMN9mKokDQf1KR0LaiQE4VJSsw46JAzlP0+/gPo0CUVzr9Kz2jQCLHwCrKaqNA3E2mgtSYo0CnI2QFTMejQI2h07Ux9qNAzOMzmYYlpEAWeS+3S1WkQFUf4hmChaRAHo7ezSq2pECwTjTiRuekQBeidWjXGKVABnW9dN1KpUDzYbUdWn2lQHDBm3xOsKVAw8hJrbvjpUBFtznOohemQCASjQAFTKZAA+8SaOOApkCWTU4rP7amQDuAfHMZ7KZAxaObbHMip0CiJnFFTlmnQIVfkC+rkKdAhDNhX4vIp0BHzCYM8ACoQNldBnDaOahAqvwNyEtzqEDIgztURa2oQE6Lg1fI56hAom/YF9YiqUAMaTHeb16pQE+0kfaWmqlAL8wPsEzXqUD9s9xckhSqQK5TS1JpUqpAJOXX6NKQqkA0cy980M+qQHJqN2tjD6tAxDsVGI1Pq0BoETboTpCrQOWVVkSq0atAnc2KmKATrED3AkZUM1asQC3FYupjmaxAYfoq0TPdrEB7BGCCpCGtQI75Qnu3Zq1Are+cPG6srUBKXMdKyvKtQMCHtC3NOa5AlhT4cHiBrkAfm8+jzcmuQIpZK1nOEq9AW/i2J3xcr0ALZOKp2KavQES76n3l8a9APanxItIesEB3Zt9TC0WwQH8lrCafa7BAWFc+co6SsEDi+nkP2rmwQBtVRdmC4bBAh7SNrIkJsUDSP0xo7zGxQAbQiu20WrFAEtZoH9uDsUAGTCDjYq2xQAeyCiBN17FA/Bamv5oBskBiLZqtTCyyQPFrvddjV7JAjjoaLuGCskB7K/Sixa6yQNBAzSoS27JAqj5rvMcHs0DFCd1Q5zSzQOgSgONxYrNALM8FcmiQs0AjPXn8y76zQEh3RIWd7bNAcVM2Ed4ctECwD4injky0QKwM41GwfLRAcJVmHESttEAota0VS960QHka1U7GD7VA+QiB27ZBtUCRWOPRHXS1QFmDwUr8prVAlcF6YVPatUBGNA40JA62QF8eIeNvQrZAnSwFkjd3tkB9zL5mfKy2QAGSC4o/4rZAvaxoJ4IYt0A0bBltRU+3QIfTLYyKhrdABD2JuFK+t0AmDekon/a3QKR16xZxL7hAgUgWv8louEAr291gqqK4QDT6qz4U3bhAQe3mnQgYuUC8i/jGiFO5QFZiVQWWj7lAUemDpzHMuUAvzCP/XAm6QFpC9WAZR7pAX3ngJGiFukC5EP2lSsS6QDunmULCA7tApXpDXNBDu0AMGc5XdoS7QJ4kW521xbtA0SlimI8HvED9h7i3BUq8QA9tmW0ZjbxAz+OtL8zQvEBv9RR3HxW9QF3ea8AUWr1AZ1bWi62fvUDQ7AZd6+W9QOZ3R7vPLL5AwZiBMVx0vkA3U0dOkry+QP+526NzBb9Avq87yAFPv0CDvCZVPpm/QFb4J+gq5L9AfIVPkeQXwEBgoORUDT7AQLdaZZOQZMBAIMpbI2+LwEAmt07dqbLAQGxTxptB2sBA+/pQOzcCwUD9AIiaiyrBQLGHFJo/U8FA7WO0HFR8wUA8DD8HyqXBQJOTqkCiz8FABbAQst35wUA6zbNGfSTCQPsqBOyBT8JA0gelkex6wkAR2HEpvqbCQA6Jg6f30sJA7dA1Apr/wkD/iiwypizDQMggWTIdWsNAAAAAAACIw0A=\",\"dtype\":\"float64\",\"shape\":[1000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]},\"y\":{\"__ndarray__\":\"K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf46K2Qre02d/jorZCt7TZ3+OitkK3tNnf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       "  var render_items = [{\"docid\":\"cf88f913-1443-4624-bba1-3fbcbdb00eac\",\"elementid\":\"beae4442-5d51-4274-8d6a-043e262cf951\",\"modelid\":\"8dd3db4a-a22a-44d0-860a-0565a1f96191\",\"notebook_comms_target\":\"372a7d85-3cd5-464d-8e51-fc40fda4ee49\"}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
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      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Tab</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Tab(children=(HBox(children=(VBox(children=(interactive(children=(FloatSlider(value=6.0, continuous_update=False, description='No. vacuum pumps', max=16.0, min=1.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=290.0, continuous_update=False, description='Temperature [K]', max=330.0, min=1.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=0.0, continuous_update=False, description='Depth [m]', max=1000.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))), HTML(value='52% of budget blown', description='Warning: '))), HBox(children=(VBox(children=(interactive(children=(ToggleButtons(description='Location', index=2, options=('City', 'Jungle', 'Desert', 'Island'), style=ToggleButtonsStyle(description_width='initial'), value='Desert'), Output()), _dom_classes=('widget-interact',)), VBox(children=(HBox(children=(interactive(children=(Checkbox(value=True, description='Residual Gas', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)),)), HBox(children=(interactive(children=(Checkbox(value=True, description='Suspension Thermal', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(Checkbox(value=True, description='Shot', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))), HBox(children=(interactive(children=(Checkbox(value=True, description='Gravity Gradient', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(Checkbox(value=True, description='Seismic', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))), HBox(children=(interactive(children=(Checkbox(value=True, description='Radiation Pressure', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(Checkbox(value=True, description='Mirror Thermal', style=DescriptionStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))))), Button(description='Run', icon='check', style=ButtonStyle(), tooltip='Science Run'))), VBox(children=(HTML(value='52% of budget blown', description='Warning: '), HTML(value=' ', description=' '))))), HBox(children=(VBox(children=(interactive(children=(ToggleButtons(description='Material', index=3, options=('Crystal', 'Silicon', 'Sapphire', 'Silica'), style=ToggleButtonsStyle(description_width='initial'), value='Silica'), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=100.0, continuous_update=False, description='Roughness [nm]', max=500.0, min=1.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=125.0, continuous_update=False, description='Laser power [W]', max=200.0, min=1.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))), HTML(value='52% of budget blown', description='Warning: '))), HBox(children=(VBox(children=(interactive(children=(FloatSlider(value=0.5, continuous_update=False, description='Suspension length [m]', max=5.0, min=0.35, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=4.0, continuous_update=False, description='No. suspension stages', max=9.0, min=1.0, readout_format='', step=1.0, style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)), interactive(children=(FloatSlider(value=40.0, continuous_update=False, description='Mirror mass [kg]', min=5.0, readout_format='', style=SliderStyle(description_width='initial')), Output()), _dom_classes=('widget-interact',)))), HTML(value='52% of budget blown', description='Warning: ')))), _titles={'3': 'Suspension', '2': 'Optics', '1': 'Office', '0': 'Environment'})"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stq = spaceTimeQuest(aLIGO)\n",
    "stq.tabs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another set of examples parameters is shown below. This is somewhat similar to the LIGO Voyager upgrade plan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Voyager = {\n",
    "    'depth' : 0,\n",
    "    'pumps' : 8,\n",
    "    'sus_stages' : 4,\n",
    "    'sus_length' : 0.5,\n",
    "    'mirror_mass' : 80,\n",
    "    'power' : 150,\n",
    "    'roughness' : 10,\n",
    "    'site' : sites.Desert,\n",
    "    'material' : materials.Silicon,\n",
    "    'temperature' : 295,\n",
    "}"
   ]
  }
 ],
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