ex17_galaxy_scaling_relations.ipynb

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   "source": [
    "## Astro 304 \"Galaxies\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling relations\n",
    "\n",
    "Observed galaxies exhibit several tight relations between their different observed properties. Such relations are often referred to as *scaling relations* because they describe how one galaxy property \"scales\" as a function of another property. Such tight relations are of paramount importance because they inform us about regularities during galaxy formation and connections between physical processes that affect different properties. \n",
    "\n",
    "Below are scripts that produce plots of several most famous scaling relations. Data files used by the scripts is located in the <a href=\"http://astro.uchicago.edu/~andrey/classes/a304s18/data/\">data directory</a> we used in this class.\n",
    "\n",
    "You can find a more detailed discussion of scaling relations and their theoretical interpretation in S 1.10 of the <a href=\"http://astro.uchicago.edu/~andrey/classes/a304s18/a304_galaxies_notes.pdf\">notes</a>"
   ]
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    "# setup notebook for inline figures\n",
    "#%matplotlib inline\n",
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "\n",
    "# import pyplot and set some parameters to make plots prettier\n",
    "import matplotlib.pyplot as plt\n",
    "from code.plot_utils import plot_pretty\n",
    "plot_pretty()\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\h2_sf\\Canopy2\\User\\lib\\site-packages\\ipykernel\\__main__.py:32: RuntimeWarning: invalid value encountered in log10\n",
      "C:\\Users\\h2_sf\\Canopy2\\User\\lib\\site-packages\\ipykernel\\__main__.py:43: RuntimeWarning: invalid value encountered in log10\n"
     ]
    }
   ],
   "source": [
    "from code.setup.setup import data_home_dir\n",
    "from code.plot_utils import plot_2d_dist, compute_inverse_Vmax\n",
    "from colossus.cosmology import cosmology\n",
    "\n",
    "def read_GAMA(fname):\n",
    "    import pyfits\n",
    "    hdulist = pyfits.open(fname)\n",
    "    return np.asarray(hdulist[1].data)\n",
    "    \n",
    "data = read_GAMA(data_home_dir()+\"GAMA_DR2_full.fits\")\n",
    "\n",
    "cosmo = cosmology.setCosmology('WMAP9')\n",
    "\n",
    "z_min = 0.001; z_max = 0.6\n",
    "m_min = 10.5; m_max = 19.0\n",
    "mpetro = data['PETROMAG_R'] - data['EXTINCTION_R']\n",
    "\n",
    "data = data[(mpetro > m_min) & (mpetro < m_max)]; \n",
    "data = data[data['Z_HELIO'] > z_min];   \n",
    "data = data[data['Z_HELIO'] < z_max]\n",
    "\n",
    "mpetro = data['PETROMAG_R'] - data['EXTINCTION_R']\n",
    "zg = data['Z_TONRY']\n",
    "\n",
    "vmaxim = compute_inverse_Vmax(mpetro, zg, m_min=m_min, m_max=m_max, cosmomodel='WMAP9')\n",
    "vmaxim = vmaxim / np.sum(vmaxim)\n",
    "lMstar = data['logmstar']\n",
    "Mstar = np.power(10.,lMstar)\n",
    "r50 = data['GAL_RE_R']\n",
    "r90 = data['GAL_R90_R']\n",
    "sfr = data['SFR']\n",
    "lsfr = np.log10(sfr)\n",
    "# metallicity\n",
    "Z = data['metal']/0.0126 # normalize to solar according to Asplund et al. (2004)\n",
    "lZ = np.log10(Z)\n",
    "\n",
    "# compute angular diameter distances\n",
    "d_A = cosmo.luminosityDistance(zg)/cosmo.h/(1.+zg)\n",
    "r50 = r50*np.pi*d_A*1000.0/(180.*3600.)\n",
    "# SFR -> SFR/kpc^2, M*->Sigma_* in Msun/kpc^2\n",
    "ssfr = sfr/(np.pi*r50**2)\n",
    "smstar = 0.5*Mstar/(np.pi*r50**2)\n",
    "lssfr = np.log10(ssfr); lsmstar = np.log10(smstar)"
   ]
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     "text": [
      "Warning: Cannot change to a different GUI toolkit: qt. Using notebook instead.\n"
     ]
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       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "\n",
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       "\n",
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       "}\n",
       "\n",
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       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
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       "    // Called whenever the canvas gets updated.\n",
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       "}\n",
       "\n",
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       "            /* 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",
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       "\n",
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       "                (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 overriden (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",
       "        // 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",
       "\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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   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from code.plot_utils import plot_pretty\n",
    "plot_pretty()\n",
    "%matplotlib qt\n",
    "\n",
    "# plot the SFR-Z-M* distribution in 3D\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.set_xlabel(r'$\\log_{10}{\\rm SFR}\\ (M_\\odot\\,\\mathrm{yr}^{-1})$'); \n",
    "ax.set_ylabel(r'$\\log_{10} Z/Z_\\odot$'); \n",
    "ax.set_zlabel(r'$\\log_{10} M_*\\ (M_\\odot)$')\n",
    "ax.set_xlim(-2,2.0); ax.set_ylim(-1.0,1.0); ax.set_zlim(7.,12.)\n",
    "\n",
    "\n",
    "#select only star forming sequence galaxies\n",
    "ssfr = sfr/10.**lMstar\n",
    "isel = ssfr>1.e-10\n",
    "lsfrs = lsfr[isel]; lZs = lZ[isel]; lMss = lMstar[isel]\n",
    "#subselect for interactive speed\n",
    "iran = np.random.randint(0,np.size(lsfrs),2000)\n",
    "\n",
    "ax.scatter(lsfrs[iran], lZs[iran], lMss[iran], c='b', marker='.')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## \"Dynamical\" scaling relations\n",
    "\n",
    "### The Faber-Jackson relation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Faber-Jackson relation <a href=\"http://adsabs.harvard.edu/abs/1976ApJ...204..668F\">Faber & Jackson (1976)</a> relation between galaxy luminosity and stellar velocity dispersion. Velocity dispersion is an analoguous quantity in spheroidal galaxies to the rotation velocity of disk galaxies, although the two are not quite the same. \n",
    "\n",
    "Let's look at the Faber-Jackson relation for the spheroidal galaxies in the SDSS sample. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "670722 galaxies in Meert et al. sample initially\n"
     ]
    }
   ],
   "source": [
    "# import Benedikt Diemer's colossus package\n",
    "from colossus.cosmology import cosmology\n",
    "# set cosmology to the best values from 9-year WMAP data\n",
    "cosmo = cosmology.setCosmology('WMAP9')\n",
    "\n",
    "# read in the relevant data from Meert et al. (2015) catalogs\n",
    "from code.read_data import read_meert_catalog\n",
    "sdata, mdata, mnpdata, phot_r, mdatag, mnpdatag, morph = read_meert_catalog(phot_type = 3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from code.plot_utils import plot_2d_dist\n",
    "#\n",
    "# assigned probability for galaxy to be of particular type from Huertas-Company et al. 2011 classification\n",
    "#\n",
    "pSab = morph['probaSab']; pScd = morph['probaScd']; pS0  = morph['probaS0']\n",
    "pEll  = morph['probaEll']\n",
    "mr = mdata['m_tot']; extm = mnpdata['extinction']; \n",
    "mg = mdatag['m_tot']; extmg = mnpdatag['extinction']; \n",
    "gr = mg - mr - extmg + extm\n",
    "\n",
    "isph = (pEll>0.8) & (sdata['velDisp']>10.0) & (gr<1.5)\n",
    "\n",
    "emdata = mdata[isph]; esdata = sdata[isph]; ephot_r = phot_r[isph]\n",
    "emnpd = mnpdata[isph]; emdatag = mdatag[isph]; emnpdg = mnpdatag[isph];\n",
    "# 1d velocity dispersion measured from SDSS spectrum\n",
    "s = esdata['velDisp']; ls = np.log10(s)\n",
    "\n",
    "z = esdata['z'];\n",
    "mr = emdata['m_tot']; extm = emnpd['extinction']; kcorr = emnpd['kcorr']\n",
    "mg = emdatag['m_tot']; extmg = emnpdg['extinction']; \n",
    "\n",
    "gr = mg - mr - extmg + extm\n",
    "\n",
    "# compute luminosity distance in Mpc\n",
    "d_Lm = cosmo.luminosityDistance(z)/cosmo.h\n",
    "\n",
    "# abs. magnitude from the Meert et al. photometry using fit specified by phot_type above\n",
    "# corrected for extinction, evolution, and k-correction\n",
    "Mr = mr - 5.0*np.log10(d_Lm/1e-5) - extm + 1.3*z - kcorr;\n",
    "Lr = 0.4*(4.67-Mr)\n",
    "MsLr = -.306 + 1.097*gr - 0.1\n",
    "lMs = Lr + MsLr\n",
    "Ms = 10.**lMs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def perc84(x):\n",
    "    return np.percentile(x,84.0)\n",
    "def perc16(x):\n",
    "    return np.percentile(x,16.0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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loGj2KtPOHS5m/jcVLiwyiei8NdACO3BEP3nfMl0fcqML+jEIXghoQgPk8hbdPtLs5L4b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\n9sVit2LSVTOx8y/vw6eo+9sXvvdneDR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iKG/29KvIFELMQ3CexmdmXLxrjkiBEOJeACwy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\nKc0FrT0I8qc/AQD8s+ei6ek/wjNlJhQ/gFq5S4Hpl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KdR4SNTVXHzFNTJvS65zCS0xY5h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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb1574e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "plot_pretty()\n",
    "\n",
    "#\n",
    "# now plot the Faber-Jackson relation\n",
    "#\n",
    "fig, ax = plt.subplots(1,2,figsize=(6, 3))\n",
    "\n",
    "#ax[0].set_xlabel(r'$L_r\\ (L_\\odot)$'); ax[0].set_ylabel(r'$\\sigma\\ (\\mathrm{km/s})$')\n",
    "ylim = [50.,500.]; xlim = [3.e9, 5.e11]\n",
    "xlim = np.log10(xlim); ylim = np.log10(ylim)\n",
    "#xlim = [np.log10(3.e9), np.log10(5.e11)]\n",
    "#ylim = [np.log10(50.), np.log10(500.)]\n",
    "ax[0].set_ylim(ylim); #ax[0].set_yscale('log')\n",
    "ax[0].set_xlim(xlim); #ax[0].set_xscale('log')\n",
    "\n",
    "nxbins = 81; nybins = 81; \n",
    "#xlim = np.log10(xlim); ylim = np.log10(ylim)\n",
    "plot_2d_dist(Lr, ls, xlim, ylim, \n",
    "             nxbins, nybins, weights=None, \n",
    "             xlabel=r'$\\log_{10} L_r\\ (L_\\odot)$', ylabel= r'$\\log_{10}\\sigma_\\star\\ (\\mathrm{km/s})$', \n",
    "             fig_setup=ax[0])\n",
    "\n",
    "from scipy.stats import binned_statistic\n",
    "smed, ibedges, NMbins = binned_statistic(Lr,ls,statistic='median',bins=30,range=xlim)\n",
    "    \n",
    "s16, ibedges, NMbins = binned_statistic(Lr,ls,statistic=perc16,bins=30,range=xlim)\n",
    "s84, ibedges, NMbins = binned_statistic(Lr,ls,statistic=perc84,bins=30,range=xlim)\n",
    "\n",
    "ibins = 0.5*(ibedges[1:] + ibedges[:-1])\n",
    "\n",
    "ax[0].plot(ibins, smed,c='lavender',lw=3.0, label=r'$\\mathrm{SDSS\\ median}$')\n",
    "ax[0].plot(ibins, s16,'--',c='lavender',lw=2.0)\n",
    "ax[0].plot(ibins, s84,'--',c='lavender',lw=2.0)\n",
    "\n",
    "# plot the L~sigma^4 power law advocated by Faber & Jackson (1976)\n",
    "x = np.linspace(9.5, 11.7, 100)\n",
    "y = 125.*10**((x-10)/4.)\n",
    "\n",
    "ax[0].plot(x, np.log10(y),'--', c='r', lw=1.5, label=r'$L_r\\propto \\sigma^4$')\n",
    "ax[0].legend(frameon=False, loc='lower right',fontsize=9)\n",
    "\n",
    "#\n",
    "# now as a function of stellar mass\n",
    "#\n",
    "ax[1].set_xlabel(r'$\\log_{10}M_\\star\\ (M_\\odot)$'); \n",
    "#ax[1].set_ylabel(r'$\\sigma\\ (\\mathrm{km/s})$')\n",
    "ylim = [50.,500.]; xlim = [1.e10, 5.e12]\n",
    "xlim = np.log10(xlim); ylim = np.log10(ylim)\n",
    "ax[1].set_xlim(xlim); ax[1].set_ylim(ylim); \n",
    "\n",
    "nxbins = 81; nybins = 81; \n",
    "plot_2d_dist(lMs, ls, xlim, ylim, \n",
    "             nxbins, nybins, weights=None, \n",
    "             xlabel=r'$\\log_{10}M_\\star\\ (M_\\odot)$', ylabel= r' ', \n",
    "             fig_setup=ax[1])\n",
    "\n",
    "from scipy.stats import binned_statistic\n",
    "smed, ibedges, NMbins = binned_statistic(lMs,ls,statistic='median',bins=30,range=xlim)\n",
    "def perc84(x):\n",
    "    return np.percentile(x,84.0)\n",
    "def perc16(x):\n",
    "    return np.percentile(x,16.0)\n",
    "    \n",
    "s16, ibedges, NMbins = binned_statistic(lMs,ls,statistic=perc16,bins=30,range=xlim)\n",
    "s84, ibedges, NMbins = binned_statistic(lMs,ls,statistic=perc84,bins=30,range=xlim)\n",
    "\n",
    "ibins = 0.5*(ibedges[1:] + ibedges[:-1])\n",
    "\n",
    "#plt.scatter(Mr, s, marker='.', color='blue', s=0.5, alpha=0.5)\n",
    "ax[1].plot(ibins, smed,c='lavender',lw=3.0, label=r'$\\mathrm{SDSS\\ median}$')\n",
    "ax[1].plot(ibins, s16,'--',c='lavender',lw=2.0)\n",
    "ax[1].plot(ibins, s84,'--',c='lavender',lw=2.0)\n",
    "\n",
    "# plot the L~sigma^4 power law advocated by Faber & Jackson (1976)\n",
    "x = np.linspace(9.5, 12.5, 100)\n",
    "y = 160.*10**((x-11)/4.)\n",
    "\n",
    "ax[1].plot(x, np.log10(y),'--', c='r', lw=1.5, label=r'$M_\\star\\propto \\sigma^4$')\n",
    "ax[1].legend(frameon=False, loc='lower right',fontsize=9)\n",
    "\n",
    "#plt.savefig('fig/fj_relation_sdss.pdf',bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the relation is only close to the power law for the luminosity-velocity dispersion of galaxies. When we convert luminosity to stellar mass, the relation is no longer a power law. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fundamental plane of spheroidal galaxies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"http://adsabs.harvard.edu/abs/1987ApJ...313...42D\">Dressler et al. (1987)</a> and <a href=\"http://adsabs.harvard.edu/abs/1987ApJ...313...59D\">Djorgovski & Davis (1987)</a> have discovered that spheroidal galaxies in the 3D space formed by the galaxy half-light radius, surface brightness, and velocity dispersion (or, equivalently, by luminosity, surface brightness, and velocity dispersion) are distributed along a manifold, which they dubbed the <i>fundamental plane</i>. The fundamental part is due to the low scatter perpendicular to the plane: these authors interpreted the combination of parameters that gives tight power law correlation between $R_{\\rm eff}$ and the combination of the surface brightness and velocity dispersion as indicating the fundamental property that shapes sizes of spheroidal galaxies. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "fitting ``fundamental'' plane to the sample\n",
      "    log(Re)=a*mu + b*log(sigma) + const\n",
      "plane fit results: a = 0.28, b = 0.99\n",
      "compare to Djorgovsky & Davis 1987: a=0.36, b=1.39\n",
      "compare to Dressler et al. 1987: a=0.33, b=1.33\n",
      " \n"
     ]
    },
    {
     "data": {
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       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, 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 overriden (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",
       "        // 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",
       "\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"
    },
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\" width=\"874.6666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<mpl_toolkits.mplot3d.art3d.Path3DCollection at 0xa8b37b70>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "#%matplotlib qt\n",
    "#%matplotlib inline\n",
    "%matplotlib notebook\n",
    "    \n",
    "Reff = emdata['r_tot']; mrm = emdata['m_tot']\n",
    "# cut galaxies with small Reff which may be affected by seeing\n",
    "isel = (Reff > 1.)\n",
    "mrs = mrm[isel]; lss = ls[isel]\n",
    "d_Lms = d_Lm[isel]; zs=z[isel]; Reff=Reff[isel]\n",
    "# surface brightness in mag/arcsec^2\n",
    "sb = mrs - 2.5*np.log10(0.5) + 2.5*np.log10(np.pi*(Reff)**2)\n",
    "# arcsec -> kpc\n",
    "Reff = Reff * d_Lms/(1.0+zs) * 1.e3 * np.pi/(180.*3600.)\n",
    "\n",
    "\n",
    "def fitPlaneSVD(XYZ):\n",
    "    [rows,cols] = XYZ.shape\n",
    "    # Set up constraint equations of the form  AB = 0,\n",
    "    # where B is a column vector of the plane coefficients\n",
    "    # in the form b(1)*X + b(2)*Y +b(3)*Z + b(4) = 0.\n",
    "    p = (np.ones((rows,1)))\n",
    "    AB = np.hstack([XYZ,p])\n",
    "    [u, d, v] = np.linalg.svd(AB,0)        \n",
    "    B = v[3,:];                    # Solution is last column of v.\n",
    "    nn = np.linalg.norm(B[0:3])\n",
    "    B = B / nn\n",
    "    return B\n",
    "\n",
    "# quick least squares fit of the plane to the sample using singular value decomposition\n",
    "lR = np.log10(Reff)\n",
    "XYZ = np.array(zip(lR,sb,lss))\n",
    "b = fitPlaneSVD(XYZ)\n",
    "\n",
    "print \" \"\n",
    "print \"fitting ``fundamental'' plane to the sample\"\n",
    "print \"    log(Re)=a*mu + b*log(sigma) + const\"\n",
    "print 'plane fit results: a = %.2f, b = %.2f' % (-b[1]/b[0], -b[2]/b[0])\n",
    "print \"compare to Djorgovsky & Davis 1987: a=0.36, b=1.39\" \n",
    "print \"compare to Dressler et al. 1987: a=0.33, b=1.33\" \n",
    "print \" \"\n",
    "\n",
    "# plot the fundamental plane in 3D\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.set_xlabel(r'$R_{\\rm eff}\\ (\\mathrm{kpc})$'); ax.set_ylabel(r'$\\mu_{\\rm eff}$'); ax.set_zlabel(r'$\\sigma\\ (km/s)$')\n",
    "#ax.set_xlim(-Rmax/2,Rmax/2); ax.set_ylim(-Rmax/2,Rmax/2); ax.set_zlim(-Rmax/2,Rmax/2)\n",
    "\n",
    "\n",
    "#subselect for interactive speed\n",
    "iran = np.random.randint(0,np.size(lR),500)\n",
    "\n",
    "ax.scatter(lR[iran], sb[iran], lss[iran], c='b', marker='.')\n",
    "#plt.hold()\n",
    "#plt.show()\n",
    "#\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Tully-Fisher relation\n",
    "\n",
    "An equivalent of the Faber-Jackson relation for disk galaxies is one of the most famous scaling relations is the *Tully-Fisher relation* (TFR) between galaxy rotation velocity of gas (usually measured at $2.2R_d$ where $R_d$ is disk exponential scale length) and its luminosity (<a href=\"http://adsabs.harvard.edu/abs/1977A%26A....54..661T\">Tully & Fisher 1977</a>). \n",
    "\n",
    "A related relation is the *baryonic Tully-Fisher relation* (BTFR) between rotation velocity and \"baryon mass\" (gas+star mass), which was first considered by <a href=\"http://adsabs.harvard.edu/abs/2005ApJ...632..859M\">McGaugh (2005)</a>.\n",
    "This relation is extensively used in a variety of areas, including 1) distance measurements to galaxies, 2) constraints on galaxy formation models, 3) constraints on alternative gravity models, 4) constraints on the mass-to-light ratios and initial mass function of stars in galaxies, etc.\n",
    "\n",
    "The plots below show the Tully-Fisher and baryonic Tully-Fisher relation of dwarf and disk galaxies from the sample compiled by <a href=\"http://adsabs.harvard.edu/abs/2016arXiv160202757B\">Bradford et al. (2016)</a> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Zs+soQ4cncdWE3vVe1+kUBg/tgq3SycIF2wD45sst/LBwO2aLkYEpCSxbtBu3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\nERERqY4BBhEREanu/wGRcMB/sDx5AgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb16d5908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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VPv72zFKqKn2AApi4ohy0bRdL5vCuPPSdcaxansv+3CJGjOrO4KEN+5tczmQG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\n4WQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb0ebc9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pyfits\n",
    "from code.setup.setup import data_home_dir\n",
    "\n",
    "bf1 = pyfits.open(data_home_dir()+'figure_1_bradford_2016.fits')[1].data\n",
    "# if you want to see what's in the fits table, uncomment\n",
    "bf1h = pyfits.open('data/figure_1_bradford_2016.fits')[1].header\n",
    "#print(bf1h)\n",
    "\n",
    "mbbar = bf1['MBARYON']; embar = bf1['MBARYON_ERR']\n",
    "w20b = bf1['VW20I']; ew20b = bf1['VW20I_ERR']\n",
    "mbs = bf1['MSTAR'];\n",
    "mbbar += 0.1238 # He correction\n",
    "\n",
    "# TFR\n",
    "plt.figure(figsize=(3.,3.))\n",
    "plt.xscale('log'); plt.yscale('log')\n",
    "plt.xlim([1.e6,1.e12]); plt.ylim([10.,500.])\n",
    "plt.ylabel(r'$V_{\\rm rot}\\ \\mathrm{(km/s)}$'); plt.xlabel(r'$M_{\\rm \\star}\\ {(M_\\odot)}$')\n",
    "plt.scatter(10.**mbs,w20b,marker='.',c='darkslateblue',s=10.,alpha=0.9,edgecolor='none', label=r'$\\mathrm{Bradford\\ et\\ al.\\ 16}$')\n",
    "plt.legend(frameon=False,loc='upper left', fontsize=9)\n",
    "plt.show()\n",
    "\n",
    "# BTFR\n",
    "plt.figure(figsize=(3.,3.))\n",
    "plt.xscale('log'); plt.yscale('log')\n",
    "plt.xlim([1.e7,1.e12]); plt.ylim([10.,500.])\n",
    "plt.ylabel(r'$V_{\\rm rot}\\ \\mathrm{(km/s)}$'); plt.xlabel(r'$M_{\\rm HI+H_2+\\star}\\ {(M_\\odot)}$')\n",
    "plt.scatter(10.**mbbar,w20b,marker='.',c='darkslateblue',s=10.,alpha=0.9,edgecolor='none', label=r'$\\mathrm{Bradford\\ et\\ al.\\ 16}$')\n",
    "plt.legend(frameon=False,loc='upper left', fontsize=9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}