diff --git a/docs/gettingstarted/quickstart.ipynb b/docs/gettingstarted/quickstart.ipynb
index a15cf139..0f2d3d73 100644
--- a/docs/gettingstarted/quickstart.ipynb
+++ b/docs/gettingstarted/quickstart.ipynb
@@ -51,183 +51,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": null,
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-       "                ra       dec  SDR5ID     M_i  M_i_corr  redshift  mass_BH  \\\n",
-       "dbID                                                                        \n",
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-       "          Lbol       u       g       r       i       z     Au  nobs_total  \n",
-       "dbID                                                                       \n",
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    "source": [
     "ens.head(\"object\", 5)"
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@@ -242,7 +68,7 @@
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   {
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-   "execution_count": 125,
+   "execution_count": null,
    "metadata": {},
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    "source": [
@@ -260,483 +86,9 @@
   },
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-       "      <td>8183</td>\n",
-       "      <td>-22.200</td>\n",
-       "      <td>-23.229</td>\n",
-       "      <td>0.6244</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>21.516</td>\n",
-       "      <td>21.335</td>\n",
-       "      <td>21.118</td>\n",
-       "      <td>20.557</td>\n",
-       "      <td>20.189</td>\n",
-       "      <td>0.436</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3954424</th>\n",
-       "      <td>358.399628</td>\n",
-       "      <td>-1.110925</td>\n",
-       "      <td>77189</td>\n",
-       "      <td>-24.394</td>\n",
-       "      <td>-23.636</td>\n",
-       "      <td>1.2966</td>\n",
-       "      <td>8.743</td>\n",
-       "      <td>46.149</td>\n",
-       "      <td>20.346</td>\n",
-       "      <td>20.331</td>\n",
-       "      <td>20.129</td>\n",
-       "      <td>20.011</td>\n",
-       "      <td>19.905</td>\n",
-       "      <td>0.144</td>\n",
-       "      <td>105</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4938823</th>\n",
-       "      <td>55.578239</td>\n",
-       "      <td>0.702042</td>\n",
-       "      <td>8370</td>\n",
-       "      <td>-22.515</td>\n",
-       "      <td>-22.261</td>\n",
-       "      <td>0.5520</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>20.938</td>\n",
-       "      <td>20.591</td>\n",
-       "      <td>20.427</td>\n",
-       "      <td>20.034</td>\n",
-       "      <td>19.599</td>\n",
-       "      <td>0.661</td>\n",
-       "      <td>105</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4970580</th>\n",
-       "      <td>57.908497</td>\n",
-       "      <td>0.332248</td>\n",
-       "      <td>8579</td>\n",
-       "      <td>-22.204</td>\n",
-       "      <td>-22.744</td>\n",
-       "      <td>0.3815</td>\n",
-       "      <td>8.646</td>\n",
-       "      <td>45.254</td>\n",
-       "      <td>21.351</td>\n",
-       "      <td>20.761</td>\n",
-       "      <td>20.143</td>\n",
-       "      <td>19.658</td>\n",
-       "      <td>18.865</td>\n",
-       "      <td>1.169</td>\n",
-       "      <td>95</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4974467</th>\n",
-       "      <td>55.593185</td>\n",
-       "      <td>-0.571577</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>-24.400</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>2.3700</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>20.580</td>\n",
-       "      <td>20.840</td>\n",
-       "      <td>20.370</td>\n",
-       "      <td>20.470</td>\n",
-       "      <td>20.590</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3800671</th>\n",
-       "      <td>54.261101</td>\n",
-       "      <td>1.107667</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>-22.000</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>0.4280</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>-1.000</td>\n",
-       "      <td>20.540</td>\n",
-       "      <td>20.300</td>\n",
-       "      <td>19.950</td>\n",
-       "      <td>19.410</td>\n",
-       "      <td>18.870</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 ra       dec  SDR5ID     M_i  M_i_corr  redshift  mass_BH  \\\n",
-       "dbID                                                                         \n",
-       "102187     2.815377  1.249789     406 -22.891   -23.368    0.5804    8.023   \n",
-       "138158    10.133773 -0.230790    1541 -22.266   -22.827    0.2419    8.332   \n",
-       "187596    10.556096  0.988253    1615 -22.652   -23.392    0.3289    8.392   \n",
-       "711662    15.176414  1.083781    2359 -22.703   -23.310    0.6383    0.000   \n",
-       "762267   343.360626  0.507056   75223 -22.187   -23.001    0.4627    7.856   \n",
-       "1128581  339.200653  1.190031   74754 -24.092   -24.483    0.5481    0.000   \n",
-       "1250783   28.063360  0.648427    4283 -23.270   -24.417    0.8656    8.432   \n",
-       "1254675   29.243357  0.271094    4485 -22.436   -23.097    0.3593    7.834   \n",
-       "1266724   26.613321  0.350273    4077 -22.295   -22.739    0.4051    8.177   \n",
-       "1393824  333.115570  0.861277   73967 -26.207   -26.783    1.7729    9.260   \n",
-       "1664567   34.941772 -0.079720    5397 -22.491   -23.066    0.5550    8.111   \n",
-       "1988699   36.283642  0.285343    5594 -23.966   -24.449    0.5269    8.872   \n",
-       "3776342   53.202126 -0.365366    8031 -25.769   -26.098    1.7134    9.438   \n",
-       "3777871   51.230343  0.040977    7747 -22.299   -22.636    0.4801    8.185   \n",
-       "3867529   54.385761  0.929904    8183 -22.200   -23.229    0.6244    0.000   \n",
-       "3954424  358.399628 -1.110925   77189 -24.394   -23.636    1.2966    8.743   \n",
-       "4938823   55.578239  0.702042    8370 -22.515   -22.261    0.5520    0.000   \n",
-       "4970580   57.908497  0.332248    8579 -22.204   -22.744    0.3815    8.646   \n",
-       "4974467   55.593185 -0.571577      -1 -24.400    -1.000    2.3700   -1.000   \n",
-       "3800671   54.261101  1.107667      -1 -22.000    -1.000    0.4280   -1.000   \n",
-       "\n",
-       "           Lbol       u       g       r       i       z     Au  nobs_total  \n",
-       "dbID                                                                        \n",
-       "102187   45.571  20.777  20.368  19.950  19.570  19.273  0.142          95  \n",
-       "138158   45.131  19.090  18.857  18.485  18.085  18.033  0.117         105  \n",
-       "187596   45.321  19.915  19.185  18.589  18.423  17.770  0.105          95  \n",
-       "711662    0.000  20.942  20.491  20.330  19.979  19.815  0.117         100  \n",
-       "762267   45.186  21.107  20.647  20.193  19.855  19.529  0.465          95  \n",
-       "1128581  45.471  20.410  19.395  18.889  18.333  18.346  0.398          95  \n",
-       "1250783  45.550  20.865  20.368  20.131  20.169  19.936  0.158         105  \n",
-       "1254675  45.277  19.277  19.202  19.007  18.873  18.387  0.161         105  \n",
-       "1266724  45.200  19.993  19.623  19.428  19.300  18.959  0.154         105  \n",
-       "1393824  46.675  19.617  19.396  19.341  18.971  18.955  0.235         105  \n",
-       "1664567  45.226  20.446  20.109  20.209  19.878  19.660  0.185          95  \n",
-       "1988699  45.810  18.807  18.357  18.501  18.290  18.265  0.217         105  \n",
-       "3776342  46.518  20.075  19.873  19.751  19.475  19.374  0.594         105  \n",
-       "3777871  45.105  20.592  20.272  20.220  19.896  19.482  0.622         105  \n",
-       "3867529   0.000  21.516  21.335  21.118  20.557  20.189  0.436         100  \n",
-       "3954424  46.149  20.346  20.331  20.129  20.011  19.905  0.144         105  \n",
-       "4938823   0.000  20.938  20.591  20.427  20.034  19.599  0.661         105  \n",
-       "4970580  45.254  21.351  20.761  20.143  19.658  18.865  1.169          95  \n",
-       "4974467  -1.000  20.580  20.840  20.370  20.470  20.590  0.000         100  \n",
-       "3800671  -1.000  20.540  20.300  19.950  19.410  18.870  0.000         100  "
-      ]
-     },
-     "execution_count": 126,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ens.compute(\"object\")"
    ]
@@ -751,182 +103,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/astro/users/atzanida/Desktop/research/tape/src/tape/ensemble.py:2175: UserWarning: Divisions are not known, syncing using a non-lazy method.\n",
-      "  warnings.warn(\"Divisions are not known, syncing using a non-lazy method.\")\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using generated label, result_2, for a batch result.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>lc_id</th>\n",
-       "      <th>band</th>\n",
-       "      <th>dt</th>\n",
-       "      <th>sf2</th>\n",
-       "      <th>1_sigma</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dbID</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"5\" valign=\"top\">4938823</th>\n",
-       "      <th>0</th>\n",
-       "      <td>4938823</td>\n",
-       "      <td>g</td>\n",
-       "      <td>195.141837</td>\n",
-       "      <td>0.069303</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4938823</td>\n",
-       "      <td>g</td>\n",
-       "      <td>677.738157</td>\n",
-       "      <td>0.070085</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4938823</td>\n",
-       "      <td>g</td>\n",
-       "      <td>1352.291003</td>\n",
-       "      <td>0.158352</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4938823</td>\n",
-       "      <td>i</td>\n",
-       "      <td>195.141837</td>\n",
-       "      <td>0.016914</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4938823</td>\n",
-       "      <td>i</td>\n",
-       "      <td>677.738157</td>\n",
-       "      <td>0.013114</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"5\" valign=\"top\">3777871</th>\n",
-       "      <th>10</th>\n",
-       "      <td>3777871</td>\n",
-       "      <td>u</td>\n",
-       "      <td>287.080530</td>\n",
-       "      <td>0.083825</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>3777871</td>\n",
-       "      <td>u</td>\n",
-       "      <td>734.527928</td>\n",
-       "      <td>7945.318306</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>3777871</td>\n",
-       "      <td>z</td>\n",
-       "      <td>26.076964</td>\n",
-       "      <td>0.020663</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>3777871</td>\n",
-       "      <td>z</td>\n",
-       "      <td>287.080530</td>\n",
-       "      <td>0.031083</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>3777871</td>\n",
-       "      <td>z</td>\n",
-       "      <td>734.527928</td>\n",
-       "      <td>0.027969</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>250 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              lc_id band           dt          sf2  1_sigma\n",
-       "dbID                                                       \n",
-       "4938823 0   4938823    g   195.141837     0.069303      0.0\n",
-       "        1   4938823    g   677.738157     0.070085      0.0\n",
-       "        2   4938823    g  1352.291003     0.158352      0.0\n",
-       "        3   4938823    i   195.141837     0.016914      0.0\n",
-       "        4   4938823    i   677.738157     0.013114      0.0\n",
-       "...             ...  ...          ...          ...      ...\n",
-       "3777871 10  3777871    u   287.080530     0.083825      0.0\n",
-       "        11  3777871    u   734.527928  7945.318306      0.0\n",
-       "        12  3777871    z    26.076964     0.020663      0.0\n",
-       "        13  3777871    z   287.080530     0.031083      0.0\n",
-       "        14  3777871    z   734.527928     0.027969      0.0\n",
-       "\n",
-       "[250 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from tape.analysis import calc_sf2\n",
     "\n",
@@ -946,35 +125,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(0.0, 2000.0)"
-      ]
-     },
-     "execution_count": 129,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 500x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 408,
-       "width": 549
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(5, 4))\n",
     "plt.scatter(result[\"dt\"], result[\"sf2\"], s=20, alpha=1, color=\"#353935\")\n",
@@ -994,20 +147,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<tape.timeseries.TimeSeries at 0x7f81d5231480>"
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "max_id = result.compute()[\"sf2\"].idxmax()[0]\n",
     "lc = ens.to_timeseries(max_id)\n",
@@ -1016,35 +158,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f81d5164040>"
-      ]
-     },
-     "execution_count": 131,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 800x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 474,
-       "width": 802
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filter_r = lc.band == \"r\"  # select filter\n",
     "\n",