test-xarray-readers-and-writers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "74e5cbc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np, matplotlib.pyplot as plt\n",
    "import chromatic as ch\n",
    "import xarray as xr "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c393f155",
   "metadata": {},
   "source": [
    "### File 1 (Stellar Spectra)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "527560d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "s = ch.SimulatedRainbow().inject_spectrum().inject_transit().inject_systematics().inject_noise()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8f0388d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulated_spectra = (ch.SimulatedRainbow(R=100)\n",
    "                       .inject_spectrum(temperature=3300, logg=5)\n",
    "                       .inject_transit()\n",
    "                       .inject_systematics()\n",
    "                       .inject_noise())\n",
    "simulated_spectra.ok = np.random.uniform(0,1, simulated_spectra.shape) > 0.02\n",
    "simulated_spectra.author = 'Zach Berta-Thompson'\n",
    "simulated_spectra.contact = 'https://github.com/zkbt/chromatic/issues'\n",
    "simulated_spectra.code = 'chromatic'\n",
    "filename = 'stellar-spec-planetawesome-modeimaginary-codechromatic-authorzkbt.xc'\n",
    "simulated_spectra.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9851ee92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_spectra = ch.read_rainbow(filename)\n",
    "loaded_spectra == simulated_spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7448e34a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loaded_spectra.imshow();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "97758c5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loaded_spectra.normalize().imshow();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c4c75382",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
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       "  margin-right: 10px;\n",
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       "\n",
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       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
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       "  font-weight: 500;\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                            (time: 150, wavelength: 231)\n",
       "Coordinates:\n",
       "  * time                               (time) float64 -0.1042 -0.1028 ... 0.1028\n",
       "  * wavelength                         (wavelength) float64 0.5 0.505 ... 4.987\n",
       "Data variables: (12/20)\n",
       "    flux                               (wavelength, time) float64 9.887e+03 ....\n",
       "    model                              (wavelength, time) float64 9.969e+03 ....\n",
       "    flux_error                         (wavelength, time) float64 99.69 ... 9...\n",
       "    planet_model                       (wavelength, time) float64 1.0 ... 1.0\n",
       "    systematics_model                  (wavelength, time) float64 1.014 ... 0...\n",
       "    systematics_model_from_x           (wavelength, time) float64 0.00282 ......\n",
       "    ...                                 ...\n",
       "    original_wave_index                (wavelength) int64 0 1 2 ... 228 229 230\n",
       "    injected-transit-u1                (wavelength) float64 0.5 0.5 ... 0.5 0.5\n",
       "    injected-transit-u2                (wavelength) float64 0.1 0.1 ... 0.1 0.1\n",
       "    injected-transit-u3                (wavelength) float64 0.1 0.1 ... 0.1 0.1\n",
       "    injected-transit-u4                (wavelength) float64 -0.1 -0.1 ... -0.1\n",
       "    injected-transit-rp                (wavelength) float64 0.1 0.1 ... 0.1 0.1\n",
       "Attributes: (12/13)\n",
       "    name:                    null\n",
       "    history:                 [&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  &quot;log&quot;\n",
       "    tscale:                  &quot;linear&quot;\n",
       "    transit_parameters:      {&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0...\n",
       "    ...                      ...\n",
       "    systematics_components:  {&quot;linear_x&quot;: &quot;c_x*(x - offset_x)/sigma_x&quot;, &quot;c_x&quot;...\n",
       "    systematics_equation:    &quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  &quot;Zach Berta-Thompson&quot;\n",
       "    contact:                 &quot;https://github.com/zkbt/chromatic/issues&quot;\n",
       "    code:                    &quot;chromatic&quot;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-be7c560e-dd27-4b60-af28-4931d4ef6f75' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be7c560e-dd27-4b60-af28-4931d4ef6f75' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 150</li><li><span class='xr-has-index'>wavelength</span>: 231</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3b8c46b2-c9c0-4139-ab49-fd11c7d5c8ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b8c46b2-c9c0-4139-ab49-fd11c7d5c8ca' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1042 -0.1028 ... 0.1014 0.1028</div><input id='attrs-61ec98be-7782-40c8-98d7-5fb05dda69d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61ec98be-7782-40c8-98d7-5fb05dda69d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac06d515-920a-4527-a45e-b9eebb7e5c88' class='xr-var-data-in' type='checkbox'><label for='data-ac06d515-920a-4527-a45e-b9eebb7e5c88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>d</dd></dl></div><div class='xr-var-data'><pre>array([-1.041667e-01, -1.027778e-01, -1.013889e-01, -1.000000e-01,\n",
       "       -9.861111e-02, -9.722222e-02, -9.583333e-02, -9.444444e-02,\n",
       "       -9.305556e-02, -9.166667e-02, -9.027778e-02, -8.888889e-02,\n",
       "       -8.750000e-02, -8.611111e-02, -8.472222e-02, -8.333333e-02,\n",
       "       -8.194444e-02, -8.055556e-02, -7.916667e-02, -7.777778e-02,\n",
       "       -7.638889e-02, -7.500000e-02, -7.361111e-02, -7.222222e-02,\n",
       "       -7.083333e-02, -6.944444e-02, -6.805556e-02, -6.666667e-02,\n",
       "       -6.527778e-02, -6.388889e-02, -6.250000e-02, -6.111111e-02,\n",
       "       -5.972222e-02, -5.833333e-02, -5.694444e-02, -5.555556e-02,\n",
       "       -5.416667e-02, -5.277778e-02, -5.138889e-02, -5.000000e-02,\n",
       "       -4.861111e-02, -4.722222e-02, -4.583333e-02, -4.444444e-02,\n",
       "       -4.305556e-02, -4.166667e-02, -4.027778e-02, -3.888889e-02,\n",
       "       -3.750000e-02, -3.611111e-02, -3.472222e-02, -3.333333e-02,\n",
       "       -3.194444e-02, -3.055556e-02, -2.916667e-02, -2.777778e-02,\n",
       "       -2.638889e-02, -2.500000e-02, -2.361111e-02, -2.222222e-02,\n",
       "       -2.083333e-02, -1.944444e-02, -1.805556e-02, -1.666667e-02,\n",
       "       -1.527778e-02, -1.388889e-02, -1.250000e-02, -1.111111e-02,\n",
       "       -9.722222e-03, -8.333333e-03, -6.944444e-03, -5.555556e-03,\n",
       "       -4.166667e-03, -2.777778e-03, -1.388889e-03, -3.700743e-16,\n",
       "        1.388889e-03,  2.777778e-03,  4.166667e-03,  5.555556e-03,\n",
       "        6.944444e-03,  8.333333e-03,  9.722222e-03,  1.111111e-02,\n",
       "        1.250000e-02,  1.388889e-02,  1.527778e-02,  1.666667e-02,\n",
       "        1.805556e-02,  1.944444e-02,  2.083333e-02,  2.222222e-02,\n",
       "        2.361111e-02,  2.500000e-02,  2.638889e-02,  2.777778e-02,\n",
       "        2.916667e-02,  3.055556e-02,  3.194444e-02,  3.333333e-02,\n",
       "        3.472222e-02,  3.611111e-02,  3.750000e-02,  3.888889e-02,\n",
       "        4.027778e-02,  4.166667e-02,  4.305556e-02,  4.444444e-02,\n",
       "        4.583333e-02,  4.722222e-02,  4.861111e-02,  5.000000e-02,\n",
       "        5.138889e-02,  5.277778e-02,  5.416667e-02,  5.555556e-02,\n",
       "        5.694444e-02,  5.833333e-02,  5.972222e-02,  6.111111e-02,\n",
       "        6.250000e-02,  6.388889e-02,  6.527778e-02,  6.666667e-02,\n",
       "        6.805556e-02,  6.944444e-02,  7.083333e-02,  7.222222e-02,\n",
       "        7.361111e-02,  7.500000e-02,  7.638889e-02,  7.777778e-02,\n",
       "        7.916667e-02,  8.055556e-02,  8.194444e-02,  8.333333e-02,\n",
       "        8.472222e-02,  8.611111e-02,  8.750000e-02,  8.888889e-02,\n",
       "        9.027778e-02,  9.166667e-02,  9.305556e-02,  9.444444e-02,\n",
       "        9.583333e-02,  9.722222e-02,  9.861111e-02,  1.000000e-01,\n",
       "        1.013889e-01,  1.027778e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.505 0.5101 ... 4.937 4.987</div><input id='attrs-a8ed269e-b0e4-4c18-921e-55598663789d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8ed269e-b0e4-4c18-921e-55598663789d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8e0410d-7709-448e-8c12-41ba332b5717' class='xr-var-data-in' type='checkbox'><label for='data-d8e0410d-7709-448e-8c12-41ba332b5717' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.5     , 0.505025, 0.510101, ..., 4.88834 , 4.937469, 4.987091])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5056e1c6-9c5b-434e-b500-76aa1a6a62c7' class='xr-section-summary-in' type='checkbox'  ><label for='section-5056e1c6-9c5b-434e-b500-76aa1a6a62c7' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>flux</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-370d06f1-9ceb-4b77-916f-97eaa11d6c95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-370d06f1-9ceb-4b77-916f-97eaa11d6c95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0637c3f2-5505-4910-85a5-83c0384eedb0' class='xr-var-data-in' type='checkbox'><label for='data-0637c3f2-5505-4910-85a5-83c0384eedb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ph / (m2 nm s)</dd></dl></div><div class='xr-var-data'><pre>array([[ 9886.791071, 10001.94537 ,  9927.907369, ...,  9703.464143,\n",
       "         9852.564409,  9883.431917],\n",
       "       [11597.744261, 11768.112023, 11649.834871, ..., 11326.902236,\n",
       "        11372.140155, 11203.325976],\n",
       "       [13819.673703, 13857.749208, 13646.78386 , ..., 13335.554095,\n",
       "        13155.169668, 13266.65695 ],\n",
       "       ...,\n",
       "       [10713.158559, 10739.026774, 10577.15744 , ..., 10484.367541,\n",
       "        10514.033288, 10490.58406 ],\n",
       "       [10538.606456, 10450.753694, 10571.326341, ..., 10095.268672,\n",
       "        10235.659868, 10188.409113],\n",
       "       [10253.311064,  9952.001022, 10228.587774, ...,  9866.943046,\n",
       "         9775.465819, 10121.930124]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5480c3ee-620b-4ce3-ba96-5fa5fc698864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5480c3ee-620b-4ce3-ba96-5fa5fc698864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-706583a4-2a54-4d55-a35f-e3572eff04e2' class='xr-var-data-in' type='checkbox'><label for='data-706583a4-2a54-4d55-a35f-e3572eff04e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ph / (m2 nm s)</dd></dl></div><div class='xr-var-data'><pre>array([[ 9969.071515,  9949.177238,  9957.372535, ...,  9708.093908,\n",
       "         9699.613521,  9700.753891],\n",
       "       [11594.127097, 11571.444546, 11580.869578, ..., 11291.109186,\n",
       "        11281.460264, 11282.514782],\n",
       "       [13704.098134, 13677.855775, 13688.86337 , ..., 13346.561846,\n",
       "        13335.424146, 13336.331045],\n",
       "       ...,\n",
       "       [10756.105372, 10745.784744, 10752.024659, ..., 10486.817918,\n",
       "        10482.909453, 10477.479488],\n",
       "       [10503.061113, 10492.638718, 10498.812297, ..., 10239.728712,\n",
       "        10235.750138, 10230.653846],\n",
       "       [10159.127363, 10148.697089, 10154.750045, ...,  9904.032873,\n",
       "         9900.020357,  9895.299631]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flux_error</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-447b5df5-6401-4614-b97b-6be98622442f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-447b5df5-6401-4614-b97b-6be98622442f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aafa157c-e823-452b-bdc1-9143a09ce25a' class='xr-var-data-in' type='checkbox'><label for='data-aafa157c-e823-452b-bdc1-9143a09ce25a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ph / (m2 nm s)</dd></dl></div><div class='xr-var-data'><pre>array([[ 99.690715,  99.491772,  99.573725, ...,  97.080939,  96.996135,\n",
       "         97.007539],\n",
       "       [115.941271, 115.714445, 115.808696, ..., 112.911092, 112.814603,\n",
       "        112.825148],\n",
       "       [137.040981, 136.778558, 136.888634, ..., 133.465618, 133.354241,\n",
       "        133.36331 ],\n",
       "       ...,\n",
       "       [107.561054, 107.457847, 107.520247, ..., 104.868179, 104.829095,\n",
       "        104.774795],\n",
       "       [105.030611, 104.926387, 104.988123, ..., 102.397287, 102.357501,\n",
       "        102.306538],\n",
       "       [101.591274, 101.486971, 101.5475  , ...,  99.040329,  99.000204,\n",
       "         98.952996]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planet_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c234465-b042-4ae6-b4c5-92f60d7e06af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c234465-b042-4ae6-b4c5-92f60d7e06af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc1540f5-dea5-4083-a9d9-4b7ec2497100' class='xr-var-data-in' type='checkbox'><label for='data-cc1540f5-dea5-4083-a9d9-4b7ec2497100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8dddd32a-a5c2-4b61-8f66-de4de65863d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dddd32a-a5c2-4b61-8f66-de4de65863d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf6b967-e803-4a26-a882-98ca4248e280' class='xr-var-data-in' type='checkbox'><label for='data-9cf6b967-e803-4a26-a882-98ca4248e280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.013732, 1.011709, 1.012542, ..., 0.987194, 0.986331, 0.986447],\n",
       "       [1.013757, 1.011774, 1.012598, ..., 0.987262, 0.986418, 0.986511],\n",
       "       [1.013784, 1.011843, 1.012657, ..., 0.987335, 0.986511, 0.986578],\n",
       "       ...,\n",
       "       [1.014402, 1.013428, 1.014017, ..., 0.989005, 0.988637, 0.988125],\n",
       "       [1.014381, 1.013374, 1.01397 , ..., 0.988948, 0.988564, 0.988072],\n",
       "       [1.014358, 1.013317, 1.013921, ..., 0.988888, 0.988487, 0.988016]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_x</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d08b5038-7e91-4048-9a8d-d433ee02027f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d08b5038-7e91-4048-9a8d-d433ee02027f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de69c7ad-1487-44cf-a4b9-66e9bdfafd07' class='xr-var-data-in' type='checkbox'><label for='data-de69c7ad-1487-44cf-a4b9-66e9bdfafd07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       ...,\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_y</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f04257c-c84a-464d-a24f-52a6c973aa3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f04257c-c84a-464d-a24f-52a6c973aa3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06b19054-9dd6-42dd-902c-8646a9b62ac3' class='xr-var-data-in' type='checkbox'><label for='data-06b19054-9dd6-42dd-902c-8646a9b62ac3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       ...,\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_time</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cac94fe0-9984-472c-b390-a4fd6495694b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cac94fe0-9984-472c-b390-a4fd6495694b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89180ad0-f965-4866-afd2-18109e3cc9aa' class='xr-var-data-in' type='checkbox'><label for='data-89180ad0-f965-4866-afd2-18109e3cc9aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       ...,\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04d7c7e2-46da-4cb5-a6dc-e78f591797c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04d7c7e2-46da-4cb5-a6dc-e78f591797c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09c8b71b-d10e-49ca-8019-a04ff951f767' class='xr-var-data-in' type='checkbox'><label for='data-09c8b71b-d10e-49ca-8019-a04ff951f767' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-6.130545e-01, -1.573536e+00, -1.349465e+00, ..., -1.657902e+00,\n",
       "        -2.109695e+00, -1.535003e+00],\n",
       "       [-5.891115e-01, -1.512081e+00, -1.296761e+00, ..., -1.593153e+00,\n",
       "        -2.027301e+00, -1.475053e+00],\n",
       "       [-5.638008e-01, -1.447115e+00, -1.241047e+00, ..., -1.524704e+00,\n",
       "        -1.940199e+00, -1.411678e+00],\n",
       "       ...,\n",
       "       [ 1.990666e-02,  5.109470e-02,  4.381883e-02, ...,  5.383420e-02,\n",
       "         6.850449e-02,  4.984348e-02],\n",
       "       [-1.480660e-04, -3.800432e-04, -3.259251e-04, ..., -4.004196e-04,\n",
       "        -5.095375e-04, -3.707366e-04],\n",
       "       [-2.115784e-02, -5.430612e-02, -4.657294e-02, ..., -5.721780e-02,\n",
       "        -7.281015e-02, -5.297626e-02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d73a7fa7-ed88-494a-8eb2-240e6431fd74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d73a7fa7-ed88-494a-8eb2-240e6431fd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e317035f-5864-4c0b-88dc-a590e1857621' class='xr-var-data-in' type='checkbox'><label for='data-e317035f-5864-4c0b-88dc-a590e1857621' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-6.489113e-04, -1.665570e-03, -1.428393e-03, ..., -1.754871e-03,\n",
       "        -2.233089e-03, -1.624783e-03],\n",
       "       [-6.235679e-04, -1.600521e-03, -1.372607e-03, ..., -1.686334e-03,\n",
       "        -2.145875e-03, -1.561327e-03],\n",
       "       [-5.967768e-04, -1.531756e-03, -1.313634e-03, ..., -1.613882e-03,\n",
       "        -2.053679e-03, -1.494246e-03],\n",
       "       ...,\n",
       "       [ 2.107097e-05,  5.408317e-05,  4.638174e-05, ...,  5.698290e-05,\n",
       "         7.251124e-05,  5.275877e-05],\n",
       "       [-1.567262e-07, -4.022715e-07, -3.449881e-07, ..., -4.238397e-07,\n",
       "        -5.393397e-07, -3.924206e-07],\n",
       "       [-2.239533e-05, -5.748242e-05, -4.929694e-05, ..., -6.056440e-05,\n",
       "        -7.706873e-05, -5.607478e-05]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_flag</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2156a8d5-9d83-4848-aa97-88f47d166b7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2156a8d5-9d83-4848-aa97-88f47d166b7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41752067-45cf-453a-97b1-96cd98da6a92' class='xr-var-data-in' type='checkbox'><label for='data-41752067-45cf-453a-97b1-96cd98da6a92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ True,  True,  True, ...,  True,  True,  True],\n",
       "       [ True,  True,  True, ...,  True,  True,  True],\n",
       "       [ True,  True, False, ...,  True,  True,  True],\n",
       "       ...,\n",
       "       [ True,  True,  True, ...,  True,  True,  True],\n",
       "       [ True,  True,  True, ...,  True,  True,  True],\n",
       "       [ True,  True,  True, ...,  True,  True,  True]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_time_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ba31ffd-d252-41db-98c7-6bb205ae738a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ba31ffd-d252-41db-98c7-6bb205ae738a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-988e43df-1efe-4762-b9e6-b98167c17759' class='xr-var-data-in' type='checkbox'><label for='data-988e43df-1efe-4762-b9e6-b98167c17759' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36eacbb4-5df6-4b4a-91c3-197e0ebed578' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36eacbb4-5df6-4b4a-91c3-197e0ebed578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc78166b-06c1-4c68-87ce-ab663bb7b119' class='xr-var-data-in' type='checkbox'><label for='data-bc78166b-06c1-4c68-87ce-ab663bb7b119' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-1.837752, -1.428931, -2.051583, -1.792648, -1.738996, -1.680236,\n",
       "       -1.9426  , -2.059251, -1.605228, -1.520268, -1.272418, -1.416928,\n",
       "       -1.27102 , -1.190766, -1.05114 , -1.07574 , -1.237803, -1.169637,\n",
       "       -0.846772, -0.307019, -0.928846, -0.396407, -0.332804, -0.023519,\n",
       "        0.437714,  0.377719, -0.174   , -0.204761,  0.187529,  0.263731,\n",
       "        0.100686,  0.687286,  0.386292,  0.757766,  0.438724,  0.533795,\n",
       "        0.57908 ,  0.621284,  1.030434,  0.650783,  0.402799,  0.750978,\n",
       "        0.656156,  0.534243,  0.536576,  0.610963,  0.919555,  0.962036,\n",
       "        0.656977,  0.788244,  0.723795,  0.435932,  0.831362,  0.749563,\n",
       "        0.150769,  0.083819, -0.185271, -0.078946, -0.058941, -0.378454,\n",
       "       -0.414209, -0.236731, -0.82077 , -0.771759, -0.819529, -1.281986,\n",
       "       -1.404766, -1.375236, -1.070041, -1.196135, -1.403001, -1.493176,\n",
       "       -1.437396, -1.813356, -1.46206 , -1.582336, -1.293717, -1.748474,\n",
       "       -1.562028, -1.628955, -1.309255, -1.076259, -1.200209, -1.035563,\n",
       "       -1.084505, -0.782636, -0.934556, -0.580327, -0.470196, -0.494688,\n",
       "       -0.672283, -0.234402, -0.447017, -0.79386 , -0.692543, -0.767714,\n",
       "       -0.183899, -0.684382, -0.779958, -1.073749, -0.505687, -0.726969,\n",
       "       -0.685465, -1.020625, -0.761624, -0.682983, -1.097876, -0.825985,\n",
       "       -1.379841, -0.660581, -1.141448, -0.66394 , -1.031257, -1.163894,\n",
       "       -0.740345, -0.652517, -0.524069, -0.516846, -0.852468, -0.370187,\n",
       "       -0.252262, -0.336523, -0.365875, -0.09375 , -0.225267, -0.12005 ,\n",
       "       -0.089197,  0.043645, -0.1264  , -0.069959, -0.157423, -0.100616,\n",
       "        0.241215,  0.07146 ,  0.125969, -0.114533, -0.451018,  0.321323,\n",
       "        0.169108,  0.277858, -0.271782, -0.429148, -0.390324, -0.568713,\n",
       "       -0.327083, -0.224023, -0.094673, -0.529863, -0.505088, -0.322902])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd4a684b-6bad-4722-85e3-5bad6829e3ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd4a684b-6bad-4722-85e3-5bad6829e3ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409365a6-14a8-4ec5-a0bf-7408d0375591' class='xr-var-data-in' type='checkbox'><label for='data-409365a6-14a8-4ec5-a0bf-7408d0375591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 0.756849,  0.52937 ,  0.320924, -0.013737,  0.88929 ,  0.449243,\n",
       "        0.524823,  0.72824 , -0.20343 , -0.072692,  0.156917,  0.101981,\n",
       "        0.026472, -0.0131  , -0.418245, -0.198182, -0.022763, -0.24618 ,\n",
       "        0.055487, -0.553604, -0.354591, -0.318436, -0.191331, -0.658925,\n",
       "       -0.163316, -0.746401, -0.50078 , -0.849451, -0.844337, -0.794099,\n",
       "       -0.785346, -0.744944, -0.248133, -0.88314 ,  0.01623 , -0.693621,\n",
       "       -0.795144, -0.624373, -0.700494, -0.229391, -0.802937, -0.434011,\n",
       "       -0.100282, -0.544548, -0.697564, -0.48148 , -0.625048, -0.821774,\n",
       "       -0.63287 , -0.523494, -0.994026, -0.479634, -0.813673, -0.734341,\n",
       "       -0.555149, -1.036312, -1.366323, -0.92469 , -1.2089  , -1.400455,\n",
       "       -1.315819, -1.153766, -1.51695 , -1.642799, -1.73261 , -1.979076,\n",
       "       -1.52045 , -1.915918, -1.917317, -2.682308, -1.931995, -1.967657,\n",
       "       -1.861926, -1.781214, -1.497278, -1.666668, -1.656672, -2.198224,\n",
       "       -1.539108, -1.381118, -1.992414, -1.476424, -1.32096 , -1.269757,\n",
       "       -1.294696, -1.636152, -1.51437 , -0.731821, -0.705469, -0.998486,\n",
       "       -0.979959, -0.822587, -0.743704, -0.877264, -0.526651, -0.861847,\n",
       "       -0.726727, -0.124976, -0.537686, -0.792754, -0.834752, -0.672799,\n",
       "       -0.49855 , -0.622636, -0.586887, -0.599251, -0.873512, -0.875393,\n",
       "       -1.223234, -0.61471 , -0.849145, -1.014511, -1.573694, -1.659951,\n",
       "       -1.286613, -1.309981, -1.1541  , -1.215954, -1.104663, -0.898037,\n",
       "       -1.109222, -1.203801, -0.704732, -0.709514, -1.231042, -0.854156,\n",
       "       -0.462028, -0.638655, -1.012824, -0.879506, -0.706188, -0.722375,\n",
       "       -1.004428, -1.12836 , -0.849915, -0.726716, -1.186412, -1.104545,\n",
       "       -1.188218, -1.045708, -0.946713, -1.090515, -1.730553, -1.146033,\n",
       "       -1.47002 , -1.174093, -1.393531, -1.333413, -1.528997, -1.595075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_wave_index</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa852310-22a5-445b-9d81-878ce6b0162f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa852310-22a5-445b-9d81-878ce6b0162f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94cabefb-75b0-491a-8c46-ac79b800f3a6' class='xr-var-data-in' type='checkbox'><label for='data-94cabefb-75b0-491a-8c46-ac79b800f3a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 228, 229, 230])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u1</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-daeae478-f507-4957-baab-578d00dc74a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daeae478-f507-4957-baab-578d00dc74a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f6fc77-b872-44b9-bb4a-686fd4288d39' class='xr-var-data-in' type='checkbox'><label for='data-90f6fc77-b872-44b9-bb4a-686fd4288d39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, ..., 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u2</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b82d0026-d3e2-4cef-b49e-55eb2432f3d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b82d0026-d3e2-4cef-b49e-55eb2432f3d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fa74194-78cd-4619-9012-aa7e4361d6f7' class='xr-var-data-in' type='checkbox'><label for='data-6fa74194-78cd-4619-9012-aa7e4361d6f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, ..., 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u3</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8104098-040e-4dcd-889c-18c0014c42a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8104098-040e-4dcd-889c-18c0014c42a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da72062c-2e35-4264-b648-a3066b26eb55' class='xr-var-data-in' type='checkbox'><label for='data-da72062c-2e35-4264-b648-a3066b26eb55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, ..., 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u4</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f772a5b0-982d-46d6-8456-050bbb187158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f772a5b0-982d-46d6-8456-050bbb187158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce5b6122-b5be-4f84-bf1d-f5a72a385fc6' class='xr-var-data-in' type='checkbox'><label for='data-ce5b6122-b5be-4f84-bf1d-f5a72a385fc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-0.1, -0.1, -0.1, ..., -0.1, -0.1, -0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-rp</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61f319c1-8ab0-40ba-82db-497abad91af0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61f319c1-8ab0-40ba-82db-497abad91af0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c72c82f0-938b-476b-b8d6-3851248aceaf' class='xr-var-data-in' type='checkbox'><label for='data-c72c82f0-938b-476b-b8d6-3851248aceaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, ..., 0.1, 0.1, 0.1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c552ebea-5ce1-430a-a768-bae2debd74e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-c552ebea-5ce1-430a-a768-bae2debd74e0' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>null</dd><dt><span>history :</span></dt><dd>[&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array([-2.5,  2.5]))*u.Unit(&#x27;h&#x27;),\\n   dt=u.Quantity(2.0)*u.Unit(&#x27;min&#x27;),\\n   wlim=u.Quantity(np.array([0.5, 5. ]))*u.Unit(&#x27;micron&#x27;),\\n   R=100)&quot;, &quot;.inject_spectrum(\\n   temperature=3300,\\n   logg=5,\\n   metallicity=0.0,\\n   radius=u.Quantity(1.0)*u.Unit(&#x27;solRad&#x27;),\\n   distance=u.Quantity(10.0)*u.Unit(&#x27;pc&#x27;),\\n   phoenix=True)&quot;, &quot;.inject_transit(\\n   planet_radius=0.1,\\n   planet_params={})&quot;, &quot;.inject_systematics(\\n   amplitude=0.003,\\n   wavelike=[],\\n   timelike=[&#x27;x&#x27;, &#x27;y&#x27;, &#x27;time&#x27;],\\n   fluxlike=[&#x27;background&#x27;])&quot;, &quot;.inject_noise(\\n   signal_to_noise=100)&quot;]</dd><dt><span>R :</span></dt><dd>100</dd><dt><span>wscale :</span></dt><dd>&quot;log&quot;</dd><dt><span>tscale :</span></dt><dd>&quot;linear&quot;</dd><dt><span>transit_parameters :</span></dt><dd>{&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0, &quot;w&quot;: 0, &quot;limb_dark&quot;: &quot;nonlinear&quot;, &quot;u&quot;: [0.5, 0.1, 0.1, -0.1], &quot;rp_unbinned&quot;: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 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[0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1]]}</dd><dt><span>transit_version :</span></dt><dd>&quot;batman-package==2.4.8&quot;</dd><dt><span>systematics_components :</span></dt><dd>{&quot;linear_x&quot;: &quot;c_x*(x - offset_x)/sigma_x&quot;, &quot;c_x&quot;: -0.0015346322519283382, &quot;offset_x&quot;: 0, &quot;sigma_x&quot;: 1, &quot;linear_y&quot;: &quot;c_y*(y - offset_y)/sigma_y&quot;, &quot;c_y&quot;: 0.0010297357837953183, &quot;offset_y&quot;: 0, &quot;sigma_y&quot;: 1, &quot;linear_time&quot;: &quot;c_time*(time - offset_time)/sigma_time&quot;, &quot;c_time&quot;: -0.00626608566563176, &quot;offset_time&quot;: {&quot;value&quot;: -0.0006944444444448165, &quot;unit&quot;: &quot;d&quot;}, &quot;sigma_time&quot;: {&quot;value&quot;: 0.06013931656677947, &quot;unit&quot;: &quot;d&quot;}, &quot;linear_background&quot;: &quot;c_background*(background - offset_background)/sigma_background&quot;, &quot;c_background&quot;: 0.001058488837693725, &quot;offset_background&quot;: 0, &quot;sigma_background&quot;: 1}</dd><dt><span>systematics_equation :</span></dt><dd>&quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*(y - offset_y)/sigma_y\\n  + c_time*(time - offset_time)/sigma_time\\n  + c_background*(background - offset_background)/sigma_background&quot;</dd><dt><span>signal_to_noise :</span></dt><dd>100</dd><dt><span>author :</span></dt><dd>&quot;Zach Berta-Thompson&quot;</dd><dt><span>contact :</span></dt><dd>&quot;https://github.com/zkbt/chromatic/issues&quot;</dd><dt><span>code :</span></dt><dd>&quot;chromatic&quot;</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                            (time: 150, wavelength: 231)\n",
       "Coordinates:\n",
       "  * time                               (time) float64 -0.1042 -0.1028 ... 0.1028\n",
       "  * wavelength                         (wavelength) float64 0.5 0.505 ... 4.987\n",
       "Data variables: (12/20)\n",
       "    flux                               (wavelength, time) float64 ...\n",
       "    model                              (wavelength, time) float64 ...\n",
       "    flux_error                         (wavelength, time) float64 ...\n",
       "    planet_model                       (wavelength, time) float64 ...\n",
       "    systematics_model                  (wavelength, time) float64 ...\n",
       "    systematics_model_from_x           (wavelength, time) float64 ...\n",
       "    ...                                 ...\n",
       "    original_wave_index                (wavelength) int64 ...\n",
       "    injected-transit-u1                (wavelength) float64 ...\n",
       "    injected-transit-u2                (wavelength) float64 ...\n",
       "    injected-transit-u3                (wavelength) float64 ...\n",
       "    injected-transit-u4                (wavelength) float64 ...\n",
       "    injected-transit-rp                (wavelength) float64 ...\n",
       "Attributes: (12/13)\n",
       "    name:                    null\n",
       "    history:                 [\"SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  \"log\"\n",
       "    tscale:                  \"linear\"\n",
       "    transit_parameters:      {\"t0\": 0, \"per\": 3, \"a\": 10, \"inc\": 90, \"ecc\": 0...\n",
       "    ...                      ...\n",
       "    systematics_components:  {\"linear_x\": \"c_x*(x - offset_x)/sigma_x\", \"c_x\"...\n",
       "    systematics_equation:    \"f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  \"Zach Berta-Thompson\"\n",
       "    contact:                 \"https://github.com/zkbt/chromatic/issues\"\n",
       "    code:                    \"chromatic\""
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_spectra = xr.open_dataset(filename)\n",
    "ds_spectra"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01c2dc9c",
   "metadata": {},
   "source": [
    "### File 2 (Raw Light Curves)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4040e35d",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulated_raw_light_curves = simulated_spectra.normalize().bin(R=3)\n",
    "simulated_raw_light_curves.data_origin = filename\n",
    "filename = 'raw-light-curves-planetawesome-modeimaginary-codechromatic-authorzkbt.xc'\n",
    "simulated_raw_light_curves.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c353a524",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                     (time: 150, wavelength: 8)\n",
       "Coordinates:\n",
       "  * time                                        (time) float64 -0.1042 ... 0....\n",
       "  * wavelength                                  (wavelength) float64 0.5 ... ...\n",
       "Data variables: (12/23)\n",
       "    raw_flux                                    (wavelength, time) float64 1....\n",
       "    model                                       (wavelength, time) float64 1....\n",
       "    raw_flux_error                              (wavelength, time) float64 0....\n",
       "    planet_model                                (wavelength, time) float64 1....\n",
       "    systematics_model                           (wavelength, time) float64 1....\n",
       "    systematics_model_from_x                    (wavelength, time) float64 0....\n",
       "    ...                                          ...\n",
       "    injected-transit-u3                         (wavelength) float64 0.1 ... 0.1\n",
       "    injected-transit-u4                         (wavelength) float64 -0.1 ......\n",
       "    injected-transit-rp                         (wavelength) float64 0.1 ... 0.1\n",
       "    start_wavelength                            (wavelength) float64 0.4232 ....\n",
       "    end_wavelength                              (wavelength) float64 0.5907 ....\n",
       "    unbinned_wavelengths_per_binned_wavelength  (wavelength) float64 17.17 .....\n",
       "Attributes: (12/14)\n",
       "    name:                    null\n",
       "    history:                 [&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  &quot;log&quot;\n",
       "    tscale:                  &quot;linear&quot;\n",
       "    transit_parameters:      {&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0...\n",
       "    ...                      ...\n",
       "    systematics_equation:    &quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  &quot;Zach Berta-Thompson&quot;\n",
       "    contact:                 &quot;https://github.com/zkbt/chromatic/issues&quot;\n",
       "    code:                    &quot;chromatic&quot;\n",
       "    data_origin:             &quot;stellar-spec-planetawesome-modeimaginary-codech...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ed3674b1-f4cb-4c36-bb5c-6854e4dc1dc8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed3674b1-f4cb-4c36-bb5c-6854e4dc1dc8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 150</li><li><span class='xr-has-index'>wavelength</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6ed1139d-87d4-41d1-8fca-4fe0341a480a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ed1139d-87d4-41d1-8fca-4fe0341a480a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1042 -0.1028 ... 0.1014 0.1028</div><input id='attrs-b59c76c2-3b08-41c4-a2e2-93046f1c6256' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b59c76c2-3b08-41c4-a2e2-93046f1c6256' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92e226f5-1f67-41ac-b0ae-404f9627decb' class='xr-var-data-in' type='checkbox'><label for='data-92e226f5-1f67-41ac-b0ae-404f9627decb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>d</dd></dl></div><div class='xr-var-data'><pre>array([-1.041667e-01, -1.027778e-01, -1.013889e-01, -1.000000e-01,\n",
       "       -9.861111e-02, -9.722222e-02, -9.583333e-02, -9.444444e-02,\n",
       "       -9.305556e-02, -9.166667e-02, -9.027778e-02, -8.888889e-02,\n",
       "       -8.750000e-02, -8.611111e-02, -8.472222e-02, -8.333333e-02,\n",
       "       -8.194444e-02, -8.055556e-02, -7.916667e-02, -7.777778e-02,\n",
       "       -7.638889e-02, -7.500000e-02, -7.361111e-02, -7.222222e-02,\n",
       "       -7.083333e-02, -6.944444e-02, -6.805556e-02, -6.666667e-02,\n",
       "       -6.527778e-02, -6.388889e-02, -6.250000e-02, -6.111111e-02,\n",
       "       -5.972222e-02, -5.833333e-02, -5.694444e-02, -5.555556e-02,\n",
       "       -5.416667e-02, -5.277778e-02, -5.138889e-02, -5.000000e-02,\n",
       "       -4.861111e-02, -4.722222e-02, -4.583333e-02, -4.444444e-02,\n",
       "       -4.305556e-02, -4.166667e-02, -4.027778e-02, -3.888889e-02,\n",
       "       -3.750000e-02, -3.611111e-02, -3.472222e-02, -3.333333e-02,\n",
       "       -3.194444e-02, -3.055556e-02, -2.916667e-02, -2.777778e-02,\n",
       "       -2.638889e-02, -2.500000e-02, -2.361111e-02, -2.222222e-02,\n",
       "       -2.083333e-02, -1.944444e-02, -1.805556e-02, -1.666667e-02,\n",
       "       -1.527778e-02, -1.388889e-02, -1.250000e-02, -1.111111e-02,\n",
       "       -9.722222e-03, -8.333333e-03, -6.944444e-03, -5.555556e-03,\n",
       "       -4.166667e-03, -2.777778e-03, -1.388889e-03, -3.700743e-16,\n",
       "        1.388889e-03,  2.777778e-03,  4.166667e-03,  5.555556e-03,\n",
       "        6.944444e-03,  8.333333e-03,  9.722222e-03,  1.111111e-02,\n",
       "        1.250000e-02,  1.388889e-02,  1.527778e-02,  1.666667e-02,\n",
       "        1.805556e-02,  1.944444e-02,  2.083333e-02,  2.222222e-02,\n",
       "        2.361111e-02,  2.500000e-02,  2.638889e-02,  2.777778e-02,\n",
       "        2.916667e-02,  3.055556e-02,  3.194444e-02,  3.333333e-02,\n",
       "        3.472222e-02,  3.611111e-02,  3.750000e-02,  3.888889e-02,\n",
       "        4.027778e-02,  4.166667e-02,  4.305556e-02,  4.444444e-02,\n",
       "        4.583333e-02,  4.722222e-02,  4.861111e-02,  5.000000e-02,\n",
       "        5.138889e-02,  5.277778e-02,  5.416667e-02,  5.555556e-02,\n",
       "        5.694444e-02,  5.833333e-02,  5.972222e-02,  6.111111e-02,\n",
       "        6.250000e-02,  6.388889e-02,  6.527778e-02,  6.666667e-02,\n",
       "        6.805556e-02,  6.944444e-02,  7.083333e-02,  7.222222e-02,\n",
       "        7.361111e-02,  7.500000e-02,  7.638889e-02,  7.777778e-02,\n",
       "        7.916667e-02,  8.055556e-02,  8.194444e-02,  8.333333e-02,\n",
       "        8.472222e-02,  8.611111e-02,  8.750000e-02,  8.888889e-02,\n",
       "        9.027778e-02,  9.166667e-02,  9.305556e-02,  9.444444e-02,\n",
       "        9.583333e-02,  9.722222e-02,  9.861111e-02,  1.000000e-01,\n",
       "        1.013889e-01,  1.027778e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.6978 0.9739 ... 3.695 5.156</div><input id='attrs-a4597ffb-6cf0-4751-bc73-c4c02f988a84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4597ffb-6cf0-4751-bc73-c4c02f988a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-712b7108-a456-46cd-8747-6fa77d0bb813' class='xr-var-data-in' type='checkbox'><label for='data-712b7108-a456-46cd-8747-6fa77d0bb813' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.5     , 0.697806, 0.973867, 1.359141, 1.896834, 2.647245, 3.694528,\n",
       "       5.156129])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bbb53c6-f17e-44d5-92f8-7045d402ed3f' class='xr-section-summary-in' type='checkbox'  ><label for='section-2bbb53c6-f17e-44d5-92f8-7045d402ed3f' class='xr-section-summary' >Data variables: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>raw_flux</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-830f0ca4-3c90-459f-af90-fc819ba9cb5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-830f0ca4-3c90-459f-af90-fc819ba9cb5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3334ff2-2a38-438d-a1d5-9c0c58b6e9cb' class='xr-var-data-in' type='checkbox'><label for='data-a3334ff2-2a38-438d-a1d5-9c0c58b6e9cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.018541, 1.023277, 1.020229, ..., 0.994776, 0.994228, 0.992265],\n",
       "       [1.02011 , 1.01941 , 1.018893, ..., 0.994018, 0.995007, 0.997574],\n",
       "       [1.021325, 1.021976, 1.017921, ..., 0.994027, 0.995251, 0.992708],\n",
       "       ...,\n",
       "       [1.020788, 1.021429, 1.020864, ..., 0.992285, 0.996984, 0.992395],\n",
       "       [1.020131, 1.017279, 1.02039 , ..., 0.992993, 0.996659, 0.994081],\n",
       "       [1.025865, 1.014237, 1.018589, ..., 0.989462, 0.99353 , 0.988182]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4daf1b9-848d-447f-800b-1bb3b5ecca69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4daf1b9-848d-447f-800b-1bb3b5ecca69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47227abf-002d-4f75-b29d-907a67b65824' class='xr-var-data-in' type='checkbox'><label for='data-47227abf-002d-4f75-b29d-907a67b65824' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.021045, 1.019373, 1.020087, ..., 0.994719, 0.994022, 0.993901],\n",
       "       [1.020409, 1.019517, 1.020087, ..., 0.994959, 0.994604, 0.994019],\n",
       "       [1.020445, 1.019702, 1.020239, ..., 0.995159, 0.994919, 0.994242],\n",
       "       ...,\n",
       "       [1.01984 , 1.01961 , 1.020027, ..., 0.995134, 0.995115, 0.994247],\n",
       "       [1.019879, 1.019249, 1.019808, ..., 0.994799, 0.994622, 0.993867],\n",
       "       [1.020428, 1.019632, 1.020148, ..., 0.995003, 0.994684, 0.994103]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_flux_error</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffe62d7e-1161-4b41-9ad3-218616c0ce7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffe62d7e-1161-4b41-9ad3-218616c0ce7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15b85c7-5c18-4647-ac1b-b873ccfa05f4' class='xr-var-data-in' type='checkbox'><label for='data-c15b85c7-5c18-4647-ac1b-b873ccfa05f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.002464, 0.00246 , 0.002537, ..., 0.002401, 0.002399, 0.002411],\n",
       "       [0.001795, 0.001766, 0.001767, ..., 0.001723, 0.001749, 0.001771],\n",
       "       [0.001767, 0.001766, 0.001767, ..., 0.00175 , 0.00175 , 0.001722],\n",
       "       ...,\n",
       "       [0.001766, 0.001766, 0.001767, ..., 0.001724, 0.00175 , 0.001771],\n",
       "       [0.001766, 0.001792, 0.001766, ..., 0.001723, 0.001723, 0.001726],\n",
       "       [0.002744, 0.002846, 0.002848, ..., 0.002675, 0.002674, 0.002673]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planet_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21c82c5a-15d8-4d61-a675-34bbcca321dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21c82c5a-15d8-4d61-a675-34bbcca321dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76282cc9-4a03-41c6-abb1-d1ef66f0ab1a' class='xr-var-data-in' type='checkbox'><label for='data-76282cc9-4a03-41c6-abb1-d1ef66f0ab1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bce6821a-579b-4837-8444-bd192703101a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bce6821a-579b-4837-8444-bd192703101a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e71f8264-e6c4-40c6-82b2-7364f7137c50' class='xr-var-data-in' type='checkbox'><label for='data-e71f8264-e6c4-40c6-82b2-7364f7137c50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.013963, 1.012303, 1.013076, ..., 0.987819, 0.987127, 0.987021],\n",
       "       [1.014461, 1.013578, 1.014145, ..., 0.989163, 0.988843, 0.98828 ],\n",
       "       [1.014552, 1.013814, 1.014347, ..., 0.989413, 0.989157, 0.988501],\n",
       "       ...,\n",
       "       [1.014877, 1.014649, 1.015064, ..., 0.990292, 0.99026 , 0.989302],\n",
       "       [1.014663, 1.014105, 1.014591, ..., 0.989711, 0.989535, 0.988775],\n",
       "       [1.014472, 1.013611, 1.014166, ..., 0.989195, 0.988878, 0.9883  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_x</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6dd50724-6bd9-4238-bd9d-cee934904733' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dd50724-6bd9-4238-bd9d-cee934904733' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-802867ac-b7a8-4317-b722-1ad0924dc7ca' class='xr-var-data-in' type='checkbox'><label for='data-802867ac-b7a8-4317-b722-1ad0924dc7ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       ...,\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_y</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8870ea37-ccb3-47ce-9a01-dbe9280aaefb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8870ea37-ccb3-47ce-9a01-dbe9280aaefb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a92b03a8-637d-445a-a01c-7bd45b4c5102' class='xr-var-data-in' type='checkbox'><label for='data-a92b03a8-637d-445a-a01c-7bd45b4c5102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       ...,\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_time</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-144eed1b-c4ef-450a-b98a-b67e56e73ec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-144eed1b-c4ef-450a-b98a-b67e56e73ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8871763-eb6e-4099-b5c0-73d05f3723b3' class='xr-var-data-in' type='checkbox'><label for='data-b8871763-eb6e-4099-b5c0-73d05f3723b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       ...,\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff3e0884-6503-48e6-b8c3-10f399039ff2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff3e0884-6503-48e6-b8c3-10f399039ff2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87c5767-98d6-4b8b-8575-a30fcf70fb97' class='xr-var-data-in' type='checkbox'><label for='data-a87c5767-98d6-4b8b-8575-a30fcf70fb97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-0.394399, -1.012464, -0.84523 , ..., -1.06677 , -1.357575, -0.993354],\n",
       "       [ 0.075513,  0.192237,  0.164887, ...,  0.202528,  0.26372 ,  0.19657 ],\n",
       "       [ 0.161749,  0.415144,  0.356031, ...,  0.439286,  0.560061,  0.404978],\n",
       "       ...,\n",
       "       [ 0.469282,  1.204396,  1.032914, ...,  1.268955,  1.60227 ,  1.161766],\n",
       "       [ 0.266458,  0.690726,  0.586464, ...,  0.72047 ,  0.91674 ,  0.663816],\n",
       "       [ 0.08618 ,  0.223635,  0.184317, ...,  0.233024,  0.296507,  0.215754]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebd20d15-2b17-492e-97ce-c2274865897c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebd20d15-2b17-492e-97ce-c2274865897c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62ef312b-ce3e-40e2-ad16-dd477ee7f531' class='xr-var-data-in' type='checkbox'><label for='data-62ef312b-ce3e-40e2-ad16-dd477ee7f531' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-4.174665e-04, -1.071682e-03, -8.946666e-04, ..., -1.129164e-03,\n",
       "        -1.436978e-03, -1.051454e-03],\n",
       "       [ 7.992947e-05,  2.034810e-04,  1.745313e-04, ...,  2.143731e-04,\n",
       "         2.791451e-04,  2.080669e-04],\n",
       "       [ 1.712091e-04,  4.394254e-04,  3.768553e-04, ...,  4.649793e-04,\n",
       "         5.928178e-04,  4.286647e-04],\n",
       "       ...,\n",
       "       [ 4.967298e-04,  1.274840e-03,  1.093328e-03, ...,  1.343175e-03,\n",
       "         1.695985e-03,  1.229716e-03],\n",
       "       [ 2.820423e-04,  7.311257e-04,  6.207661e-04, ...,  7.626097e-04,\n",
       "         9.703591e-04,  7.026419e-04],\n",
       "       [ 9.122009e-05,  2.367154e-04,  1.950975e-04, ...,  2.466536e-04,\n",
       "         3.138494e-04,  2.283730e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_flag</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17e718c8-1092-4541-80a6-6f0cdbd941ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17e718c8-1092-4541-80a6-6f0cdbd941ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9ae5c9e-f862-41bb-8afb-cd543d7933a2' class='xr-var-data-in' type='checkbox'><label for='data-f9ae5c9e-f862-41bb-8afb-cd543d7933a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.      , 1.      , 0.941821, ..., 1.      , 1.      , 0.99033 ],\n",
       "       [0.969991, 1.      , 1.      , ..., 1.      , 0.970052, 0.94508 ],\n",
       "       [1.      , 1.      , 1.      , ..., 0.969998, 0.969961, 1.      ],\n",
       "       ...,\n",
       "       [1.      , 1.      , 1.      , ..., 1.      , 0.970001, 0.94482 ],\n",
       "       [1.      , 0.970121, 1.      , ..., 1.      , 1.      , 0.99499 ],\n",
       "       [1.      , 0.927579, 0.92767 , ..., 1.      , 1.      , 1.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_time_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eaf1dfa2-8c61-4199-8c47-2af3ddad74cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaf1dfa2-8c61-4199-8c47-2af3ddad74cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d3efebf-7777-46c7-a17f-506e4464efce' class='xr-var-data-in' type='checkbox'><label for='data-0d3efebf-7777-46c7-a17f-506e4464efce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-abc6e227-1520-428a-bd4d-11f608cb47d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abc6e227-1520-428a-bd4d-11f608cb47d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc4fde7b-6806-41d5-b74a-bf3f50b74fc2' class='xr-var-data-in' type='checkbox'><label for='data-bc4fde7b-6806-41d5-b74a-bf3f50b74fc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-1.837752, -1.428931, -2.051583, -1.792648, -1.738996, -1.680236,\n",
       "       -1.9426  , -2.059251, -1.605228, -1.520268, -1.272418, -1.416928,\n",
       "       -1.27102 , -1.190766, -1.05114 , -1.07574 , -1.237803, -1.169637,\n",
       "       -0.846772, -0.307019, -0.928846, -0.396407, -0.332804, -0.023519,\n",
       "        0.437714,  0.377719, -0.174   , -0.204761,  0.187529,  0.263731,\n",
       "        0.100686,  0.687286,  0.386292,  0.757766,  0.438724,  0.533795,\n",
       "        0.57908 ,  0.621284,  1.030434,  0.650783,  0.402799,  0.750978,\n",
       "        0.656156,  0.534243,  0.536576,  0.610963,  0.919555,  0.962036,\n",
       "        0.656977,  0.788244,  0.723795,  0.435932,  0.831362,  0.749563,\n",
       "        0.150769,  0.083819, -0.185271, -0.078946, -0.058941, -0.378454,\n",
       "       -0.414209, -0.236731, -0.82077 , -0.771759, -0.819529, -1.281986,\n",
       "       -1.404766, -1.375236, -1.070041, -1.196135, -1.403001, -1.493176,\n",
       "       -1.437396, -1.813356, -1.46206 , -1.582336, -1.293717, -1.748474,\n",
       "       -1.562028, -1.628955, -1.309255, -1.076259, -1.200209, -1.035563,\n",
       "       -1.084505, -0.782636, -0.934556, -0.580327, -0.470196, -0.494688,\n",
       "       -0.672283, -0.234402, -0.447017, -0.79386 , -0.692543, -0.767714,\n",
       "       -0.183899, -0.684382, -0.779958, -1.073749, -0.505687, -0.726969,\n",
       "       -0.685465, -1.020625, -0.761624, -0.682983, -1.097876, -0.825985,\n",
       "       -1.379841, -0.660581, -1.141448, -0.66394 , -1.031257, -1.163894,\n",
       "       -0.740345, -0.652517, -0.524069, -0.516846, -0.852468, -0.370187,\n",
       "       -0.252262, -0.336523, -0.365875, -0.09375 , -0.225267, -0.12005 ,\n",
       "       -0.089197,  0.043645, -0.1264  , -0.069959, -0.157423, -0.100616,\n",
       "        0.241215,  0.07146 ,  0.125969, -0.114533, -0.451018,  0.321323,\n",
       "        0.169108,  0.277858, -0.271782, -0.429148, -0.390324, -0.568713,\n",
       "       -0.327083, -0.224023, -0.094673, -0.529863, -0.505088, -0.322902])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3724041b-c01e-4295-977a-2b58d1e8863c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3724041b-c01e-4295-977a-2b58d1e8863c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79f94cce-9e0f-45a5-9f42-9efe67110dee' class='xr-var-data-in' type='checkbox'><label for='data-79f94cce-9e0f-45a5-9f42-9efe67110dee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 0.756849,  0.52937 ,  0.320924, -0.013737,  0.88929 ,  0.449243,\n",
       "        0.524823,  0.72824 , -0.20343 , -0.072692,  0.156917,  0.101981,\n",
       "        0.026472, -0.0131  , -0.418245, -0.198182, -0.022763, -0.24618 ,\n",
       "        0.055487, -0.553604, -0.354591, -0.318436, -0.191331, -0.658925,\n",
       "       -0.163316, -0.746401, -0.50078 , -0.849451, -0.844337, -0.794099,\n",
       "       -0.785346, -0.744944, -0.248133, -0.88314 ,  0.01623 , -0.693621,\n",
       "       -0.795144, -0.624373, -0.700494, -0.229391, -0.802937, -0.434011,\n",
       "       -0.100282, -0.544548, -0.697564, -0.48148 , -0.625048, -0.821774,\n",
       "       -0.63287 , -0.523494, -0.994026, -0.479634, -0.813673, -0.734341,\n",
       "       -0.555149, -1.036312, -1.366323, -0.92469 , -1.2089  , -1.400455,\n",
       "       -1.315819, -1.153766, -1.51695 , -1.642799, -1.73261 , -1.979076,\n",
       "       -1.52045 , -1.915918, -1.917317, -2.682308, -1.931995, -1.967657,\n",
       "       -1.861926, -1.781214, -1.497278, -1.666668, -1.656672, -2.198224,\n",
       "       -1.539108, -1.381118, -1.992414, -1.476424, -1.32096 , -1.269757,\n",
       "       -1.294696, -1.636152, -1.51437 , -0.731821, -0.705469, -0.998486,\n",
       "       -0.979959, -0.822587, -0.743704, -0.877264, -0.526651, -0.861847,\n",
       "       -0.726727, -0.124976, -0.537686, -0.792754, -0.834752, -0.672799,\n",
       "       -0.49855 , -0.622636, -0.586887, -0.599251, -0.873512, -0.875393,\n",
       "       -1.223234, -0.61471 , -0.849145, -1.014511, -1.573694, -1.659951,\n",
       "       -1.286613, -1.309981, -1.1541  , -1.215954, -1.104663, -0.898037,\n",
       "       -1.109222, -1.203801, -0.704732, -0.709514, -1.231042, -0.854156,\n",
       "       -0.462028, -0.638655, -1.012824, -0.879506, -0.706188, -0.722375,\n",
       "       -1.004428, -1.12836 , -0.849915, -0.726716, -1.186412, -1.104545,\n",
       "       -1.188218, -1.045708, -0.946713, -1.090515, -1.730553, -1.146033,\n",
       "       -1.47002 , -1.174093, -1.393531, -1.333413, -1.528997, -1.595075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_wave_index</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-861b0c6b-936e-43f6-8af4-5d635750710e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-861b0c6b-936e-43f6-8af4-5d635750710e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c94a853-05cd-4d24-89ef-152691990cfa' class='xr-var-data-in' type='checkbox'><label for='data-8c94a853-05cd-4d24-89ef-152691990cfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  8.087379,  33.335   ,  66.665   , 100.      , 133.335   , 166.665   ,\n",
       "       200.      , 223.578313])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u1</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e5b404a-0de8-4e32-b690-492d4daacf14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e5b404a-0de8-4e32-b690-492d4daacf14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c117f580-6a9c-4f77-a59b-1f46cbfa940a' class='xr-var-data-in' type='checkbox'><label for='data-c117f580-6a9c-4f77-a59b-1f46cbfa940a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u2</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-227c04ce-796f-4ca5-837e-37cac921f46a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-227c04ce-796f-4ca5-837e-37cac921f46a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7791b3e-c797-46e3-8ca0-8e147ed42714' class='xr-var-data-in' type='checkbox'><label for='data-f7791b3e-c797-46e3-8ca0-8e147ed42714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u3</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6714230c-7400-4456-b1df-a2fe080b0f3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6714230c-7400-4456-b1df-a2fe080b0f3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7e2a258-d893-4441-bac1-bcf66c6ee6c8' class='xr-var-data-in' type='checkbox'><label for='data-b7e2a258-d893-4441-bac1-bcf66c6ee6c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u4</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9f2a5c7-e767-4e19-82c6-aceba4836cde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9f2a5c7-e767-4e19-82c6-aceba4836cde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25634885-aeb2-41cf-9da5-9c65ff7186ce' class='xr-var-data-in' type='checkbox'><label for='data-25634885-aeb2-41cf-9da5-9c65ff7186ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-0.1, -0.1, -0.1, -0.1, -0.1, -0.1, -0.1, -0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-rp</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b950570-b3b7-4065-86c9-c37b250ac69d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b950570-b3b7-4065-86c9-c37b250ac69d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f064cb3-96e9-4274-b3dd-a159844d98b3' class='xr-var-data-in' type='checkbox'><label for='data-3f064cb3-96e9-4274-b3dd-a159844d98b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>start_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ff0684f-45e0-4a77-a180-66dff7242fb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ff0684f-45e0-4a77-a180-66dff7242fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46005e7d-0fbd-46cc-8769-13175523652e' class='xr-var-data-in' type='checkbox'><label for='data-46005e7d-0fbd-46cc-8769-13175523652e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.423241, 0.59068 , 0.824361, 1.150488, 1.605635, 2.240845, 3.12735 ,\n",
       "       4.364569])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>end_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbdb8796-aa1d-4974-af60-9845681d0818' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbdb8796-aa1d-4974-af60-9845681d0818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa86972-2ef1-4e12-87ac-264f07cdeae8' class='xr-var-data-in' type='checkbox'><label for='data-7fa86972-2ef1-4e12-87ac-264f07cdeae8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.59068 , 0.824361, 1.150488, 1.605635, 2.240845, 3.12735 , 4.364569,\n",
       "       6.091247])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>unbinned_wavelengths_per_binned_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc775027-aff8-47de-aa2a-9c681208adf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc775027-aff8-47de-aa2a-9c681208adf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8267c9-f294-4ba4-9a1a-1aad158ad918' class='xr-var-data-in' type='checkbox'><label for='data-de8267c9-f294-4ba4-9a1a-1aad158ad918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([17.166667, 33.333333, 33.333333, 33.333333, 33.333333, 33.333333,\n",
       "       33.333333, 13.833333])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05f5ce65-6f44-4562-8b62-1dbf8a96b112' class='xr-section-summary-in' type='checkbox'  ><label for='section-05f5ce65-6f44-4562-8b62-1dbf8a96b112' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>null</dd><dt><span>history :</span></dt><dd>[&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array([-2.5,  2.5]))*u.Unit(&#x27;h&#x27;),\\n   dt=u.Quantity(2.0)*u.Unit(&#x27;min&#x27;),\\n   wlim=u.Quantity(np.array([0.5, 5. ]))*u.Unit(&#x27;micron&#x27;),\\n   R=100)&quot;, &quot;.inject_spectrum(\\n   temperature=3300,\\n   logg=5,\\n   metallicity=0.0,\\n   radius=u.Quantity(1.0)*u.Unit(&#x27;solRad&#x27;),\\n   distance=u.Quantity(10.0)*u.Unit(&#x27;pc&#x27;),\\n   phoenix=True)&quot;, &quot;.inject_transit(\\n   planet_radius=0.1,\\n   planet_params={})&quot;, &quot;.inject_systematics(\\n   amplitude=0.003,\\n   wavelike=[],\\n   timelike=[&#x27;x&#x27;, &#x27;y&#x27;, &#x27;time&#x27;],\\n   fluxlike=[&#x27;background&#x27;])&quot;, &quot;.inject_noise(\\n   signal_to_noise=100)&quot;, &quot;.normalize(\\n   axis=&#x27;wavelength&#x27;,\\n   percentile=50)&quot;, &quot;.bin_in_wavelength(\\n   R=3,\\n   minimum_acceptable_ok=1,\\n   trim=True,\\n   starting_wavelengths=&#x27;1D&#x27;)&quot;, &quot;.trim_wavelengths(\\n   just_edges=True,\\n   when_to_give_up=1,\\n   minimum_acceptable_ok=1)&quot;]</dd><dt><span>R :</span></dt><dd>100</dd><dt><span>wscale :</span></dt><dd>&quot;log&quot;</dd><dt><span>tscale :</span></dt><dd>&quot;linear&quot;</dd><dt><span>transit_parameters :</span></dt><dd>{&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0, &quot;w&quot;: 0, &quot;limb_dark&quot;: &quot;nonlinear&quot;, &quot;u&quot;: [0.5, 0.1, 0.1, -0.1], &quot;rp_unbinned&quot;: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1], &quot;u_unbinned&quot;: [[0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1]]}</dd><dt><span>transit_version :</span></dt><dd>&quot;batman-package==2.4.8&quot;</dd><dt><span>systematics_components :</span></dt><dd>{&quot;linear_x&quot;: &quot;c_x*(x - offset_x)/sigma_x&quot;, &quot;c_x&quot;: -0.0015346322519283382, &quot;offset_x&quot;: 0, &quot;sigma_x&quot;: 1, &quot;linear_y&quot;: &quot;c_y*(y - offset_y)/sigma_y&quot;, &quot;c_y&quot;: 0.0010297357837953183, &quot;offset_y&quot;: 0, &quot;sigma_y&quot;: 1, &quot;linear_time&quot;: &quot;c_time*(time - offset_time)/sigma_time&quot;, &quot;c_time&quot;: -0.00626608566563176, &quot;offset_time&quot;: {&quot;value&quot;: -0.0006944444444448165, &quot;unit&quot;: &quot;d&quot;}, &quot;sigma_time&quot;: {&quot;value&quot;: 0.06013931656677947, &quot;unit&quot;: &quot;d&quot;}, &quot;linear_background&quot;: &quot;c_background*(background - offset_background)/sigma_background&quot;, &quot;c_background&quot;: 0.001058488837693725, &quot;offset_background&quot;: 0, &quot;sigma_background&quot;: 1}</dd><dt><span>systematics_equation :</span></dt><dd>&quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*(y - offset_y)/sigma_y\\n  + c_time*(time - offset_time)/sigma_time\\n  + c_background*(background - offset_background)/sigma_background&quot;</dd><dt><span>signal_to_noise :</span></dt><dd>100</dd><dt><span>author :</span></dt><dd>&quot;Zach Berta-Thompson&quot;</dd><dt><span>contact :</span></dt><dd>&quot;https://github.com/zkbt/chromatic/issues&quot;</dd><dt><span>code :</span></dt><dd>&quot;chromatic&quot;</dd><dt><span>data_origin :</span></dt><dd>&quot;stellar-spec-planetawesome-modeimaginary-codechromatic-authorzkbt.xc&quot;</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                     (time: 150, wavelength: 8)\n",
       "Coordinates:\n",
       "  * time                                        (time) float64 -0.1042 ... 0....\n",
       "  * wavelength                                  (wavelength) float64 0.5 ... ...\n",
       "Data variables: (12/23)\n",
       "    raw_flux                                    (wavelength, time) float64 ...\n",
       "    model                                       (wavelength, time) float64 ...\n",
       "    raw_flux_error                              (wavelength, time) float64 ...\n",
       "    planet_model                                (wavelength, time) float64 ...\n",
       "    systematics_model                           (wavelength, time) float64 ...\n",
       "    systematics_model_from_x                    (wavelength, time) float64 ...\n",
       "    ...                                          ...\n",
       "    injected-transit-u3                         (wavelength) float64 ...\n",
       "    injected-transit-u4                         (wavelength) float64 ...\n",
       "    injected-transit-rp                         (wavelength) float64 ...\n",
       "    start_wavelength                            (wavelength) float64 ...\n",
       "    end_wavelength                              (wavelength) float64 ...\n",
       "    unbinned_wavelengths_per_binned_wavelength  (wavelength) float64 ...\n",
       "Attributes: (12/14)\n",
       "    name:                    null\n",
       "    history:                 [\"SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  \"log\"\n",
       "    tscale:                  \"linear\"\n",
       "    transit_parameters:      {\"t0\": 0, \"per\": 3, \"a\": 10, \"inc\": 90, \"ecc\": 0...\n",
       "    ...                      ...\n",
       "    systematics_equation:    \"f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  \"Zach Berta-Thompson\"\n",
       "    contact:                 \"https://github.com/zkbt/chromatic/issues\"\n",
       "    code:                    \"chromatic\"\n",
       "    data_origin:             \"stellar-spec-planetawesome-modeimaginary-codech..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_raw_light_curves = xr.open_dataset(filename)\n",
    "ds_raw_light_curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ff10cab6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_raw_light_curves = ch.read_rainbow(filename)\n",
    "loaded_raw_light_curves == simulated_raw_light_curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cc8c7662",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loaded_raw_light_curves.imshow();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f11462f",
   "metadata": {},
   "source": [
    "### File 3 (Fitted Light Curves)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b926c8c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulated_fitted_light_curves = simulated_spectra.normalize().bin(R=3)\n",
    "simulated_fitted_light_curves.data_origin = filename\n",
    "filename = 'fitted-light-curves-planetawesome-modeimaginary-codechromatic-authorzkbt.xc'\n",
    "simulated_fitted_light_curves.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f39a4e53",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                     (time: 150, wavelength: 8)\n",
       "Coordinates:\n",
       "  * time                                        (time) float64 -0.1042 ... 0....\n",
       "  * wavelength                                  (wavelength) float64 0.5 ... ...\n",
       "Data variables: (12/25)\n",
       "    raw_flux                                    (wavelength, time) float64 1....\n",
       "    light_curve_model                           (wavelength, time) float64 1....\n",
       "    raw_flux_error                              (wavelength, time) float64 0....\n",
       "    planet_model                                (wavelength, time) float64 1....\n",
       "    systematics_model                           (wavelength, time) float64 1....\n",
       "    systematics_model_from_x                    (wavelength, time) float64 0....\n",
       "    ...                                          ...\n",
       "    injected-transit-u3                         (wavelength) float64 0.1 ... 0.1\n",
       "    injected-transit-u4                         (wavelength) float64 -0.1 ......\n",
       "    injected-transit-rp                         (wavelength) float64 0.1 ... 0.1\n",
       "    start_wavelength                            (wavelength) float64 0.4232 ....\n",
       "    end_wavelength                              (wavelength) float64 0.5907 ....\n",
       "    unbinned_wavelengths_per_binned_wavelength  (wavelength) float64 17.17 .....\n",
       "Attributes: (12/14)\n",
       "    name:                    null\n",
       "    history:                 [&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  &quot;log&quot;\n",
       "    tscale:                  &quot;linear&quot;\n",
       "    transit_parameters:      {&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0...\n",
       "    ...                      ...\n",
       "    systematics_equation:    &quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  &quot;Zach Berta-Thompson&quot;\n",
       "    contact:                 &quot;https://github.com/zkbt/chromatic/issues&quot;\n",
       "    code:                    &quot;chromatic&quot;\n",
       "    data_origin:             &quot;raw-light-curves-planetawesome-modeimaginary-co...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e23642b8-8db1-429d-a178-ebc027cabd9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e23642b8-8db1-429d-a178-ebc027cabd9f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 150</li><li><span class='xr-has-index'>wavelength</span>: 8</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cb599f98-be13-4d3f-a222-5ec820cc13a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb599f98-be13-4d3f-a222-5ec820cc13a3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1042 -0.1028 ... 0.1014 0.1028</div><input id='attrs-3f6b9a14-00cb-4c49-a46e-51e2c9c6541e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f6b9a14-00cb-4c49-a46e-51e2c9c6541e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10855d64-7b8f-40b6-9624-f3a1e16a6ad9' class='xr-var-data-in' type='checkbox'><label for='data-10855d64-7b8f-40b6-9624-f3a1e16a6ad9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>d</dd></dl></div><div class='xr-var-data'><pre>array([-1.041667e-01, -1.027778e-01, -1.013889e-01, -1.000000e-01,\n",
       "       -9.861111e-02, -9.722222e-02, -9.583333e-02, -9.444444e-02,\n",
       "       -9.305556e-02, -9.166667e-02, -9.027778e-02, -8.888889e-02,\n",
       "       -8.750000e-02, -8.611111e-02, -8.472222e-02, -8.333333e-02,\n",
       "       -8.194444e-02, -8.055556e-02, -7.916667e-02, -7.777778e-02,\n",
       "       -7.638889e-02, -7.500000e-02, -7.361111e-02, -7.222222e-02,\n",
       "       -7.083333e-02, -6.944444e-02, -6.805556e-02, -6.666667e-02,\n",
       "       -6.527778e-02, -6.388889e-02, -6.250000e-02, -6.111111e-02,\n",
       "       -5.972222e-02, -5.833333e-02, -5.694444e-02, -5.555556e-02,\n",
       "       -5.416667e-02, -5.277778e-02, -5.138889e-02, -5.000000e-02,\n",
       "       -4.861111e-02, -4.722222e-02, -4.583333e-02, -4.444444e-02,\n",
       "       -4.305556e-02, -4.166667e-02, -4.027778e-02, -3.888889e-02,\n",
       "       -3.750000e-02, -3.611111e-02, -3.472222e-02, -3.333333e-02,\n",
       "       -3.194444e-02, -3.055556e-02, -2.916667e-02, -2.777778e-02,\n",
       "       -2.638889e-02, -2.500000e-02, -2.361111e-02, -2.222222e-02,\n",
       "       -2.083333e-02, -1.944444e-02, -1.805556e-02, -1.666667e-02,\n",
       "       -1.527778e-02, -1.388889e-02, -1.250000e-02, -1.111111e-02,\n",
       "       -9.722222e-03, -8.333333e-03, -6.944444e-03, -5.555556e-03,\n",
       "       -4.166667e-03, -2.777778e-03, -1.388889e-03, -3.700743e-16,\n",
       "        1.388889e-03,  2.777778e-03,  4.166667e-03,  5.555556e-03,\n",
       "        6.944444e-03,  8.333333e-03,  9.722222e-03,  1.111111e-02,\n",
       "        1.250000e-02,  1.388889e-02,  1.527778e-02,  1.666667e-02,\n",
       "        1.805556e-02,  1.944444e-02,  2.083333e-02,  2.222222e-02,\n",
       "        2.361111e-02,  2.500000e-02,  2.638889e-02,  2.777778e-02,\n",
       "        2.916667e-02,  3.055556e-02,  3.194444e-02,  3.333333e-02,\n",
       "        3.472222e-02,  3.611111e-02,  3.750000e-02,  3.888889e-02,\n",
       "        4.027778e-02,  4.166667e-02,  4.305556e-02,  4.444444e-02,\n",
       "        4.583333e-02,  4.722222e-02,  4.861111e-02,  5.000000e-02,\n",
       "        5.138889e-02,  5.277778e-02,  5.416667e-02,  5.555556e-02,\n",
       "        5.694444e-02,  5.833333e-02,  5.972222e-02,  6.111111e-02,\n",
       "        6.250000e-02,  6.388889e-02,  6.527778e-02,  6.666667e-02,\n",
       "        6.805556e-02,  6.944444e-02,  7.083333e-02,  7.222222e-02,\n",
       "        7.361111e-02,  7.500000e-02,  7.638889e-02,  7.777778e-02,\n",
       "        7.916667e-02,  8.055556e-02,  8.194444e-02,  8.333333e-02,\n",
       "        8.472222e-02,  8.611111e-02,  8.750000e-02,  8.888889e-02,\n",
       "        9.027778e-02,  9.166667e-02,  9.305556e-02,  9.444444e-02,\n",
       "        9.583333e-02,  9.722222e-02,  9.861111e-02,  1.000000e-01,\n",
       "        1.013889e-01,  1.027778e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.6978 0.9739 ... 3.695 5.156</div><input id='attrs-c8f0c0d0-4b2e-4a59-be3f-42e7408763e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8f0c0d0-4b2e-4a59-be3f-42e7408763e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaab05aa-e692-4d87-a5e2-6ba1cbb900ce' class='xr-var-data-in' type='checkbox'><label for='data-eaab05aa-e692-4d87-a5e2-6ba1cbb900ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.5     , 0.697806, 0.973867, 1.359141, 1.896834, 2.647245, 3.694528,\n",
       "       5.156129])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43f38e09-6b54-472d-8206-42050e904a2c' class='xr-section-summary-in' type='checkbox'  ><label for='section-43f38e09-6b54-472d-8206-42050e904a2c' class='xr-section-summary' >Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>raw_flux</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d072176-d4ad-4eea-bc13-033fc1245e53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d072176-d4ad-4eea-bc13-033fc1245e53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad8645e0-6e8d-403c-991c-87f3b526c7cc' class='xr-var-data-in' type='checkbox'><label for='data-ad8645e0-6e8d-403c-991c-87f3b526c7cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.018541, 1.023277, 1.020229, ..., 0.994776, 0.994228, 0.992265],\n",
       "       [1.02011 , 1.01941 , 1.018893, ..., 0.994018, 0.995007, 0.997574],\n",
       "       [1.021325, 1.021976, 1.017921, ..., 0.994027, 0.995251, 0.992708],\n",
       "       ...,\n",
       "       [1.020788, 1.021429, 1.020864, ..., 0.992285, 0.996984, 0.992395],\n",
       "       [1.020131, 1.017279, 1.02039 , ..., 0.992993, 0.996659, 0.994081],\n",
       "       [1.025865, 1.014237, 1.018589, ..., 0.989462, 0.99353 , 0.988182]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>light_curve_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e591aee-149c-4b89-a90e-0c1030af17f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e591aee-149c-4b89-a90e-0c1030af17f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e720b013-80fa-4102-83de-0d0a8e5b915b' class='xr-var-data-in' type='checkbox'><label for='data-e720b013-80fa-4102-83de-0d0a8e5b915b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.021045, 1.019373, 1.020087, ..., 0.994719, 0.994022, 0.993901],\n",
       "       [1.020409, 1.019517, 1.020087, ..., 0.994959, 0.994604, 0.994019],\n",
       "       [1.020445, 1.019702, 1.020239, ..., 0.995159, 0.994919, 0.994242],\n",
       "       ...,\n",
       "       [1.01984 , 1.01961 , 1.020027, ..., 0.995134, 0.995115, 0.994247],\n",
       "       [1.019879, 1.019249, 1.019808, ..., 0.994799, 0.994622, 0.993867],\n",
       "       [1.020428, 1.019632, 1.020148, ..., 0.995003, 0.994684, 0.994103]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_flux_error</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-544d3e7e-8756-498c-8ce9-e55d182734b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-544d3e7e-8756-498c-8ce9-e55d182734b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec6afbb5-ae15-438d-a6bc-d45e64622945' class='xr-var-data-in' type='checkbox'><label for='data-ec6afbb5-ae15-438d-a6bc-d45e64622945' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.002464, 0.00246 , 0.002537, ..., 0.002401, 0.002399, 0.002411],\n",
       "       [0.001795, 0.001766, 0.001767, ..., 0.001723, 0.001749, 0.001771],\n",
       "       [0.001767, 0.001766, 0.001767, ..., 0.00175 , 0.00175 , 0.001722],\n",
       "       ...,\n",
       "       [0.001766, 0.001766, 0.001767, ..., 0.001724, 0.00175 , 0.001771],\n",
       "       [0.001766, 0.001792, 0.001766, ..., 0.001723, 0.001723, 0.001726],\n",
       "       [0.002744, 0.002846, 0.002848, ..., 0.002675, 0.002674, 0.002673]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planet_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7765b809-02f3-4a60-a5ce-1558769cefd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7765b809-02f3-4a60-a5ce-1558769cefd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3226e8e7-c017-43da-854f-6ebeda8d429a' class='xr-var-data-in' type='checkbox'><label for='data-3226e8e7-c017-43da-854f-6ebeda8d429a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdc55556-2782-4588-a0fa-e32c58784ab5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdc55556-2782-4588-a0fa-e32c58784ab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e43e7f9-696a-4662-83a4-a1d58c752418' class='xr-var-data-in' type='checkbox'><label for='data-8e43e7f9-696a-4662-83a4-a1d58c752418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.013963, 1.012303, 1.013076, ..., 0.987819, 0.987127, 0.987021],\n",
       "       [1.014461, 1.013578, 1.014145, ..., 0.989163, 0.988843, 0.98828 ],\n",
       "       [1.014552, 1.013814, 1.014347, ..., 0.989413, 0.989157, 0.988501],\n",
       "       ...,\n",
       "       [1.014877, 1.014649, 1.015064, ..., 0.990292, 0.99026 , 0.989302],\n",
       "       [1.014663, 1.014105, 1.014591, ..., 0.989711, 0.989535, 0.988775],\n",
       "       [1.014472, 1.013611, 1.014166, ..., 0.989195, 0.988878, 0.9883  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_x</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9948c325-540b-4e57-ba48-7f801f580218' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9948c325-540b-4e57-ba48-7f801f580218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-006f2608-13ba-4d0a-9e50-a811cc26104c' class='xr-var-data-in' type='checkbox'><label for='data-006f2608-13ba-4d0a-9e50-a811cc26104c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       ...,\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496],\n",
       "       [0.00282 , 0.002193, 0.003148, ..., 0.000813, 0.000775, 0.000496]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_y</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2c3ad67-c2c3-4800-af2b-823c9b69a30f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2c3ad67-c2c3-4800-af2b-823c9b69a30f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d46f1969-62a8-42f1-bb2e-6a15ced60bd4' class='xr-var-data-in' type='checkbox'><label for='data-d46f1969-62a8-42f1-bb2e-6a15ced60bd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       ...,\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643],\n",
       "       [ 0.000779,  0.000545,  0.00033 , ..., -0.001373, -0.001574, -0.001643]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_time</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a8ab34e5-15d6-4625-bb8a-328ca8f56101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8ab34e5-15d6-4625-bb8a-328ca8f56101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9006f859-dcb4-4aea-8c38-1d8d1a64829f' class='xr-var-data-in' type='checkbox'><label for='data-9006f859-dcb4-4aea-8c38-1d8d1a64829f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       ...,\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781],\n",
       "       [ 0.010781,  0.010636,  0.010492, ..., -0.010492, -0.010636, -0.010781]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d01e39ca-3322-4092-a04f-afe722491550' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d01e39ca-3322-4092-a04f-afe722491550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60737a27-c6d2-47cf-a2e8-55f64e552386' class='xr-var-data-in' type='checkbox'><label for='data-60737a27-c6d2-47cf-a2e8-55f64e552386' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-0.394399, -1.012464, -0.84523 , ..., -1.06677 , -1.357575, -0.993354],\n",
       "       [ 0.075513,  0.192237,  0.164887, ...,  0.202528,  0.26372 ,  0.19657 ],\n",
       "       [ 0.161749,  0.415144,  0.356031, ...,  0.439286,  0.560061,  0.404978],\n",
       "       ...,\n",
       "       [ 0.469282,  1.204396,  1.032914, ...,  1.268955,  1.60227 ,  1.161766],\n",
       "       [ 0.266458,  0.690726,  0.586464, ...,  0.72047 ,  0.91674 ,  0.663816],\n",
       "       [ 0.08618 ,  0.223635,  0.184317, ...,  0.233024,  0.296507,  0.215754]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>systematics_model_from_background</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2cbed7d6-7eed-4611-9a8b-59c719da5650' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cbed7d6-7eed-4611-9a8b-59c719da5650' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-924ac2f3-e7f9-4207-8ceb-eb8848d5d1f6' class='xr-var-data-in' type='checkbox'><label for='data-924ac2f3-e7f9-4207-8ceb-eb8848d5d1f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[-4.174665e-04, -1.071682e-03, -8.946666e-04, ..., -1.129164e-03,\n",
       "        -1.436978e-03, -1.051454e-03],\n",
       "       [ 7.992947e-05,  2.034810e-04,  1.745313e-04, ...,  2.143731e-04,\n",
       "         2.791451e-04,  2.080669e-04],\n",
       "       [ 1.712091e-04,  4.394254e-04,  3.768553e-04, ...,  4.649793e-04,\n",
       "         5.928178e-04,  4.286647e-04],\n",
       "       ...,\n",
       "       [ 4.967298e-04,  1.274840e-03,  1.093328e-03, ...,  1.343175e-03,\n",
       "         1.695985e-03,  1.229716e-03],\n",
       "       [ 2.820423e-04,  7.311257e-04,  6.207661e-04, ...,  7.626097e-04,\n",
       "         9.703591e-04,  7.026419e-04],\n",
       "       [ 9.122009e-05,  2.367154e-04,  1.950975e-04, ...,  2.466536e-04,\n",
       "         3.138494e-04,  2.283730e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_flag</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-140e4bb5-2eff-4de0-a59e-11ac02ce2ddb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-140e4bb5-2eff-4de0-a59e-11ac02ce2ddb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a55c8d4b-f199-4852-927f-fe6e52077280' class='xr-var-data-in' type='checkbox'><label for='data-a55c8d4b-f199-4852-927f-fe6e52077280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.      , 1.      , 0.941821, ..., 1.      , 1.      , 0.99033 ],\n",
       "       [0.969991, 1.      , 1.      , ..., 1.      , 0.970052, 0.94508 ],\n",
       "       [1.      , 1.      , 1.      , ..., 0.969998, 0.969961, 1.      ],\n",
       "       ...,\n",
       "       [1.      , 1.      , 1.      , ..., 1.      , 0.970001, 0.94482 ],\n",
       "       [1.      , 0.970121, 1.      , ..., 1.      , 1.      , 0.99499 ],\n",
       "       [1.      , 0.927579, 0.92767 , ..., 1.      , 1.      , 1.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corrected_flux</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cebfe789-3283-4476-94da-3a5260b1b04b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cebfe789-3283-4476-94da-3a5260b1b04b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00aa6579-2023-457c-ba8f-6c9009c9a025' class='xr-var-data-in' type='checkbox'><label for='data-00aa6579-2023-457c-ba8f-6c9009c9a025' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[1.004515, 1.010841, 1.007061, ..., 1.007042, 1.007193, 1.005314],\n",
       "       [1.005568, 1.005754, 1.004681, ..., 1.004909, 1.006233, 1.009405],\n",
       "       [1.006676, 1.008051, 1.003523, ..., 1.004663, 1.006161, 1.004256],\n",
       "       ...,\n",
       "       [1.005824, 1.006682, 1.005714, ..., 1.002013, 1.00679 , 1.003127],\n",
       "       [1.00539 , 1.003129, 1.005715, ..., 1.003316, 1.007199, 1.005366],\n",
       "       [1.011231, 1.000618, 1.004361, ..., 1.000269, 1.004704, 0.999881]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>corrected_flux_error</span></div><div class='xr-var-dims'>(wavelength, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c32a095a-391c-43cc-8297-4de198075253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c32a095a-391c-43cc-8297-4de198075253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc551901-51f1-4284-b2a7-648c8a901b60' class='xr-var-data-in' type='checkbox'><label for='data-cc551901-51f1-4284-b2a7-648c8a901b60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[0.00243 , 0.00243 , 0.002504, ..., 0.00243 , 0.00243 , 0.002442],\n",
       "       [0.001769, 0.001742, 0.001742, ..., 0.001742, 0.001769, 0.001792],\n",
       "       [0.001742, 0.001742, 0.001742, ..., 0.001769, 0.001769, 0.001742],\n",
       "       ...,\n",
       "       [0.001741, 0.001741, 0.001741, ..., 0.001741, 0.001767, 0.001791],\n",
       "       [0.001741, 0.001768, 0.001741, ..., 0.001741, 0.001741, 0.001745],\n",
       "       [0.002704, 0.002808, 0.002808, ..., 0.002704, 0.002704, 0.002704]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_time_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63f5d49b-1843-487a-9589-c3820e33fee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f5d49b-1843-487a-9589-c3820e33fee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-981ea8a2-a49e-4c9a-b7b4-5305b23e1d8f' class='xr-var-data-in' type='checkbox'><label for='data-981ea8a2-a49e-4c9a-b7b4-5305b23e1d8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
       "       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce2837bd-327d-4fe9-8793-eef4f3676464' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce2837bd-327d-4fe9-8793-eef4f3676464' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6599a50-9bf3-4c58-987f-3afcf5ace04b' class='xr-var-data-in' type='checkbox'><label for='data-e6599a50-9bf3-4c58-987f-3afcf5ace04b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-1.837752, -1.428931, -2.051583, -1.792648, -1.738996, -1.680236,\n",
       "       -1.9426  , -2.059251, -1.605228, -1.520268, -1.272418, -1.416928,\n",
       "       -1.27102 , -1.190766, -1.05114 , -1.07574 , -1.237803, -1.169637,\n",
       "       -0.846772, -0.307019, -0.928846, -0.396407, -0.332804, -0.023519,\n",
       "        0.437714,  0.377719, -0.174   , -0.204761,  0.187529,  0.263731,\n",
       "        0.100686,  0.687286,  0.386292,  0.757766,  0.438724,  0.533795,\n",
       "        0.57908 ,  0.621284,  1.030434,  0.650783,  0.402799,  0.750978,\n",
       "        0.656156,  0.534243,  0.536576,  0.610963,  0.919555,  0.962036,\n",
       "        0.656977,  0.788244,  0.723795,  0.435932,  0.831362,  0.749563,\n",
       "        0.150769,  0.083819, -0.185271, -0.078946, -0.058941, -0.378454,\n",
       "       -0.414209, -0.236731, -0.82077 , -0.771759, -0.819529, -1.281986,\n",
       "       -1.404766, -1.375236, -1.070041, -1.196135, -1.403001, -1.493176,\n",
       "       -1.437396, -1.813356, -1.46206 , -1.582336, -1.293717, -1.748474,\n",
       "       -1.562028, -1.628955, -1.309255, -1.076259, -1.200209, -1.035563,\n",
       "       -1.084505, -0.782636, -0.934556, -0.580327, -0.470196, -0.494688,\n",
       "       -0.672283, -0.234402, -0.447017, -0.79386 , -0.692543, -0.767714,\n",
       "       -0.183899, -0.684382, -0.779958, -1.073749, -0.505687, -0.726969,\n",
       "       -0.685465, -1.020625, -0.761624, -0.682983, -1.097876, -0.825985,\n",
       "       -1.379841, -0.660581, -1.141448, -0.66394 , -1.031257, -1.163894,\n",
       "       -0.740345, -0.652517, -0.524069, -0.516846, -0.852468, -0.370187,\n",
       "       -0.252262, -0.336523, -0.365875, -0.09375 , -0.225267, -0.12005 ,\n",
       "       -0.089197,  0.043645, -0.1264  , -0.069959, -0.157423, -0.100616,\n",
       "        0.241215,  0.07146 ,  0.125969, -0.114533, -0.451018,  0.321323,\n",
       "        0.169108,  0.277858, -0.271782, -0.429148, -0.390324, -0.568713,\n",
       "       -0.327083, -0.224023, -0.094673, -0.529863, -0.505088, -0.322902])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67b045e7-9095-4e1a-b7c2-9f1849eac070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67b045e7-9095-4e1a-b7c2-9f1849eac070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3fc920c-67d5-4661-b7ff-59f7e68ba2f6' class='xr-var-data-in' type='checkbox'><label for='data-e3fc920c-67d5-4661-b7ff-59f7e68ba2f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([ 0.756849,  0.52937 ,  0.320924, -0.013737,  0.88929 ,  0.449243,\n",
       "        0.524823,  0.72824 , -0.20343 , -0.072692,  0.156917,  0.101981,\n",
       "        0.026472, -0.0131  , -0.418245, -0.198182, -0.022763, -0.24618 ,\n",
       "        0.055487, -0.553604, -0.354591, -0.318436, -0.191331, -0.658925,\n",
       "       -0.163316, -0.746401, -0.50078 , -0.849451, -0.844337, -0.794099,\n",
       "       -0.785346, -0.744944, -0.248133, -0.88314 ,  0.01623 , -0.693621,\n",
       "       -0.795144, -0.624373, -0.700494, -0.229391, -0.802937, -0.434011,\n",
       "       -0.100282, -0.544548, -0.697564, -0.48148 , -0.625048, -0.821774,\n",
       "       -0.63287 , -0.523494, -0.994026, -0.479634, -0.813673, -0.734341,\n",
       "       -0.555149, -1.036312, -1.366323, -0.92469 , -1.2089  , -1.400455,\n",
       "       -1.315819, -1.153766, -1.51695 , -1.642799, -1.73261 , -1.979076,\n",
       "       -1.52045 , -1.915918, -1.917317, -2.682308, -1.931995, -1.967657,\n",
       "       -1.861926, -1.781214, -1.497278, -1.666668, -1.656672, -2.198224,\n",
       "       -1.539108, -1.381118, -1.992414, -1.476424, -1.32096 , -1.269757,\n",
       "       -1.294696, -1.636152, -1.51437 , -0.731821, -0.705469, -0.998486,\n",
       "       -0.979959, -0.822587, -0.743704, -0.877264, -0.526651, -0.861847,\n",
       "       -0.726727, -0.124976, -0.537686, -0.792754, -0.834752, -0.672799,\n",
       "       -0.49855 , -0.622636, -0.586887, -0.599251, -0.873512, -0.875393,\n",
       "       -1.223234, -0.61471 , -0.849145, -1.014511, -1.573694, -1.659951,\n",
       "       -1.286613, -1.309981, -1.1541  , -1.215954, -1.104663, -0.898037,\n",
       "       -1.109222, -1.203801, -0.704732, -0.709514, -1.231042, -0.854156,\n",
       "       -0.462028, -0.638655, -1.012824, -0.879506, -0.706188, -0.722375,\n",
       "       -1.004428, -1.12836 , -0.849915, -0.726716, -1.186412, -1.104545,\n",
       "       -1.188218, -1.045708, -0.946713, -1.090515, -1.730553, -1.146033,\n",
       "       -1.47002 , -1.174093, -1.393531, -1.333413, -1.528997, -1.595075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>original_wave_index</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd0be60d-1334-459d-a672-db9a223814db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd0be60d-1334-459d-a672-db9a223814db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddda7175-1090-4f11-b744-7ae559520d12' class='xr-var-data-in' type='checkbox'><label for='data-ddda7175-1090-4f11-b744-7ae559520d12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([  8.087379,  33.335   ,  66.665   , 100.      , 133.335   , 166.665   ,\n",
       "       200.      , 223.578313])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u1</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-891565f5-ee6d-483e-a6e8-fc16ee8f03e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-891565f5-ee6d-483e-a6e8-fc16ee8f03e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-259b7b11-76cd-4b5a-8aa8-1669b91fb5a5' class='xr-var-data-in' type='checkbox'><label for='data-259b7b11-76cd-4b5a-8aa8-1669b91fb5a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u2</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2544d879-f1c8-49df-b5c8-4f6d0f436fb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2544d879-f1c8-49df-b5c8-4f6d0f436fb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-433ed955-e288-4e59-9069-2a1148877d0f' class='xr-var-data-in' type='checkbox'><label for='data-433ed955-e288-4e59-9069-2a1148877d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u3</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-288b0974-f67c-48f3-8693-4e1ee652f7dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-288b0974-f67c-48f3-8693-4e1ee652f7dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-249734ef-f83f-40ce-bdbc-a398a482ba51' class='xr-var-data-in' type='checkbox'><label for='data-249734ef-f83f-40ce-bdbc-a398a482ba51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-u4</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbb141aa-fa0f-4eb1-b04e-1146238b2002' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbb141aa-fa0f-4eb1-b04e-1146238b2002' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4721f05c-bce3-4040-bfce-a16cee87a123' class='xr-var-data-in' type='checkbox'><label for='data-4721f05c-bce3-4040-bfce-a16cee87a123' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([-0.1, -0.1, -0.1, -0.1, -0.1, -0.1, -0.1, -0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>injected-transit-rp</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b50930be-12a9-4cc4-8fe6-a225703f4463' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b50930be-12a9-4cc4-8fe6-a225703f4463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-868a4bec-dc56-4dc6-af46-66d2198d0bd4' class='xr-var-data-in' type='checkbox'><label for='data-868a4bec-dc56-4dc6-af46-66d2198d0bd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>start_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-466e9624-4c87-4165-b7b9-9ec09a779ca7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-466e9624-4c87-4165-b7b9-9ec09a779ca7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca60b11f-bb81-4573-bc22-ce643e5804cf' class='xr-var-data-in' type='checkbox'><label for='data-ca60b11f-bb81-4573-bc22-ce643e5804cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.423241, 0.59068 , 0.824361, 1.150488, 1.605635, 2.240845, 3.12735 ,\n",
       "       4.364569])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>end_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ade904e9-2f87-4ad7-9d2b-112dafb75dee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ade904e9-2f87-4ad7-9d2b-112dafb75dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfbaefe3-5123-4f92-b309-e54b58a53658' class='xr-var-data-in' type='checkbox'><label for='data-bfbaefe3-5123-4f92-b309-e54b58a53658' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micron</dd></dl></div><div class='xr-var-data'><pre>array([0.59068 , 0.824361, 1.150488, 1.605635, 2.240845, 3.12735 , 4.364569,\n",
       "       6.091247])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>unbinned_wavelengths_per_binned_wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c528493-54ce-406b-a0ff-15245dc0855f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c528493-54ce-406b-a0ff-15245dc0855f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb9cfff2-24fb-4b78-b66a-495425cca185' class='xr-var-data-in' type='checkbox'><label for='data-fb9cfff2-24fb-4b78-b66a-495425cca185' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([17.166667, 33.333333, 33.333333, 33.333333, 33.333333, 33.333333,\n",
       "       33.333333, 13.833333])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40c04965-7979-4c82-b64e-f44d0af6ba7b' class='xr-section-summary-in' type='checkbox'  ><label for='section-40c04965-7979-4c82-b64e-f44d0af6ba7b' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>null</dd><dt><span>history :</span></dt><dd>[&quot;SimulatedRainbow(\\n   tlim=u.Quantity(np.array([-2.5,  2.5]))*u.Unit(&#x27;h&#x27;),\\n   dt=u.Quantity(2.0)*u.Unit(&#x27;min&#x27;),\\n   wlim=u.Quantity(np.array([0.5, 5. ]))*u.Unit(&#x27;micron&#x27;),\\n   R=100)&quot;, &quot;.inject_spectrum(\\n   temperature=3300,\\n   logg=5,\\n   metallicity=0.0,\\n   radius=u.Quantity(1.0)*u.Unit(&#x27;solRad&#x27;),\\n   distance=u.Quantity(10.0)*u.Unit(&#x27;pc&#x27;),\\n   phoenix=True)&quot;, &quot;.inject_transit(\\n   planet_radius=0.1,\\n   planet_params={})&quot;, &quot;.inject_systematics(\\n   amplitude=0.003,\\n   wavelike=[],\\n   timelike=[&#x27;x&#x27;, &#x27;y&#x27;, &#x27;time&#x27;],\\n   fluxlike=[&#x27;background&#x27;])&quot;, &quot;.inject_noise(\\n   signal_to_noise=100)&quot;, &quot;.normalize(\\n   axis=&#x27;wavelength&#x27;,\\n   percentile=50)&quot;, &quot;.bin_in_wavelength(\\n   R=3,\\n   minimum_acceptable_ok=1,\\n   trim=True,\\n   starting_wavelengths=&#x27;1D&#x27;)&quot;, &quot;.trim_wavelengths(\\n   just_edges=True,\\n   when_to_give_up=1,\\n   minimum_acceptable_ok=1)&quot;]</dd><dt><span>R :</span></dt><dd>100</dd><dt><span>wscale :</span></dt><dd>&quot;log&quot;</dd><dt><span>tscale :</span></dt><dd>&quot;linear&quot;</dd><dt><span>transit_parameters :</span></dt><dd>{&quot;t0&quot;: 0, &quot;per&quot;: 3, &quot;a&quot;: 10, &quot;inc&quot;: 90, &quot;ecc&quot;: 0, &quot;w&quot;: 0, &quot;limb_dark&quot;: &quot;nonlinear&quot;, &quot;u&quot;: [0.5, 0.1, 0.1, -0.1], &quot;rp_unbinned&quot;: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1], &quot;u_unbinned&quot;: [[0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1], [0.5, 0.1, 0.1, -0.1]]}</dd><dt><span>transit_version :</span></dt><dd>&quot;batman-package==2.4.8&quot;</dd><dt><span>systematics_components :</span></dt><dd>{&quot;linear_x&quot;: &quot;c_x*(x - offset_x)/sigma_x&quot;, &quot;c_x&quot;: -0.0015346322519283382, &quot;offset_x&quot;: 0, &quot;sigma_x&quot;: 1, &quot;linear_y&quot;: &quot;c_y*(y - offset_y)/sigma_y&quot;, &quot;c_y&quot;: 0.0010297357837953183, &quot;offset_y&quot;: 0, &quot;sigma_y&quot;: 1, &quot;linear_time&quot;: &quot;c_time*(time - offset_time)/sigma_time&quot;, &quot;c_time&quot;: -0.00626608566563176, &quot;offset_time&quot;: {&quot;value&quot;: -0.0006944444444448165, &quot;unit&quot;: &quot;d&quot;}, &quot;sigma_time&quot;: {&quot;value&quot;: 0.06013931656677947, &quot;unit&quot;: &quot;d&quot;}, &quot;linear_background&quot;: &quot;c_background*(background - offset_background)/sigma_background&quot;, &quot;c_background&quot;: 0.001058488837693725, &quot;offset_background&quot;: 0, &quot;sigma_background&quot;: 1}</dd><dt><span>systematics_equation :</span></dt><dd>&quot;f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*(y - offset_y)/sigma_y\\n  + c_time*(time - offset_time)/sigma_time\\n  + c_background*(background - offset_background)/sigma_background&quot;</dd><dt><span>signal_to_noise :</span></dt><dd>100</dd><dt><span>author :</span></dt><dd>&quot;Zach Berta-Thompson&quot;</dd><dt><span>contact :</span></dt><dd>&quot;https://github.com/zkbt/chromatic/issues&quot;</dd><dt><span>code :</span></dt><dd>&quot;chromatic&quot;</dd><dt><span>data_origin :</span></dt><dd>&quot;raw-light-curves-planetawesome-modeimaginary-codechromatic-authorzkbt.xc&quot;</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                     (time: 150, wavelength: 8)\n",
       "Coordinates:\n",
       "  * time                                        (time) float64 -0.1042 ... 0....\n",
       "  * wavelength                                  (wavelength) float64 0.5 ... ...\n",
       "Data variables: (12/25)\n",
       "    raw_flux                                    (wavelength, time) float64 ...\n",
       "    light_curve_model                           (wavelength, time) float64 ...\n",
       "    raw_flux_error                              (wavelength, time) float64 ...\n",
       "    planet_model                                (wavelength, time) float64 ...\n",
       "    systematics_model                           (wavelength, time) float64 ...\n",
       "    systematics_model_from_x                    (wavelength, time) float64 ...\n",
       "    ...                                          ...\n",
       "    injected-transit-u3                         (wavelength) float64 ...\n",
       "    injected-transit-u4                         (wavelength) float64 ...\n",
       "    injected-transit-rp                         (wavelength) float64 ...\n",
       "    start_wavelength                            (wavelength) float64 ...\n",
       "    end_wavelength                              (wavelength) float64 ...\n",
       "    unbinned_wavelengths_per_binned_wavelength  (wavelength) float64 ...\n",
       "Attributes: (12/14)\n",
       "    name:                    null\n",
       "    history:                 [\"SimulatedRainbow(\\n   tlim=u.Quantity(np.array...\n",
       "    R:                       100\n",
       "    wscale:                  \"log\"\n",
       "    tscale:                  \"linear\"\n",
       "    transit_parameters:      {\"t0\": 0, \"per\": 3, \"a\": 10, \"inc\": 90, \"ecc\": 0...\n",
       "    ...                      ...\n",
       "    systematics_equation:    \"f = 1\\n  + c_x*(x - offset_x)/sigma_x\\n  + c_y*...\n",
       "    signal_to_noise:         100\n",
       "    author:                  \"Zach Berta-Thompson\"\n",
       "    contact:                 \"https://github.com/zkbt/chromatic/issues\"\n",
       "    code:                    \"chromatic\"\n",
       "    data_origin:             \"raw-light-curves-planetawesome-modeimaginary-co..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_fitted_light_curves = xr.open_dataset(filename)\n",
    "ds_fitted_light_curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7c0b13d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_fitted_light_curves = ch.read_rainbow(filename)\n",
    "loaded_fitted_light_curves == simulated_fitted_light_curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "59f7555d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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