analysis6.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c30f2485",
   "metadata": {},
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   "source": [
    "%run -i startup2.py"
   ]
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   "source": [
    "# use the billinge group plot style\n",
    "use_bg_mpl_style()"
   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Analyze the fitting results from the `analysis5.ipynb`"
   ]
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   "cell_type": "markdown",
   "id": "e264874d",
   "metadata": {},
   "source": [
    "## Analyze the parameters of structures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ba930644",
   "metadata": {
    "tags": []
   },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (dim_0: 4)\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    L_sigma        float64 7.02\n",
       "    L_phi          float64 -2.552\n",
       "    L_amplitude    float64 0.09213\n",
       "    L_wavelength   float64 4.051\n",
       "    B_f_psize      (dim_0) float64 17.22 26.2 28.14 28.78\n",
       "    B_f_psig       (dim_0) float64 8.234 9.948 11.81 11.7\n",
       "    A_f_psize      (dim_0) float64 53.74 53.86 61.07 59.07\n",
       "    A_scale        (dim_0) float64 0.02141 0.02161 0.05097 0.04307\n",
       "    A_delta2       (dim_0) float64 3.414 2.216 3.479 6.189\n",
       "    A_a            (dim_0) float64 3.784 3.786 3.785 3.785\n",
       "    A_c            (dim_0) float64 9.525 9.497 9.501 9.499\n",
       "    A_Ti1_Biso     (dim_0) float64 0.7247 0.5023 0.4941 0.5949\n",
       "    A_O1_Biso      (dim_0) float64 1.653 1.29 1.302 1.502\n",
       "    A_O1_z         (dim_0) float64 0.2127 0.2368 0.2129 0.2117\n",
       "    B_scale        (dim_0) float64 0.5226 0.5277 0.5073 0.3953\n",
       "    B_delta2       (dim_0) float64 1.902 2.139 1.604 2.546\n",
       "    B_a            (dim_0) float64 12.19 12.18 12.19 12.18\n",
       "    B_b            (dim_0) float64 3.747 3.746 3.747 3.75\n",
       "    B_c            (dim_0) float64 6.493 6.495 6.502 6.497\n",
       "    B_beta         (dim_0) float64 1.867 1.867 1.868 1.868\n",
       "    B_Ti0_Biso     (dim_0) float64 0.5337 0.5303 0.4872 0.5589\n",
       "    B_Ti1_Biso     (dim_0) float64 0.6103 0.4878 0.468 0.4443\n",
       "    B_O2_Biso      (dim_0) float64 1.035 1.027 1.073 1.223\n",
       "    B_O3_Biso      (dim_0) float64 2.499 2.178 1.899 1.991\n",
       "    B_O4_Biso      (dim_0) float64 1.024 0.9588 1.09 1.012\n",
       "    B_O5_Biso      (dim_0) float64 2.195 1.755 1.77 1.622\n",
       "    B_Ti0_x        (dim_0) float64 0.1003 0.1008 0.101 0.1011\n",
       "    B_Ti0_z        (dim_0) float64 0.7062 0.7063 0.707 0.7068\n",
       "    B_Ti1_x        (dim_0) float64 0.1967 0.1961 0.1961 0.196\n",
       "    B_Ti1_z        (dim_0) float64 0.2878 0.2864 0.2863 0.2865\n",
       "    B_O2_x         (dim_0) float64 0.05997 0.05987 0.05941 0.06048\n",
       "    B_O2_z         (dim_0) float64 0.3661 0.3631 0.363 0.3652\n",
       "    B_O3_x         (dim_0) float64 0.1365 0.1379 0.1353 0.1343\n",
       "    B_O3_z         (dim_0) float64 0.02029 0.01623 0.01167 0.01399\n",
       "    B_O4_x         (dim_0) float64 0.1332 0.1352 0.1335 0.1353\n",
       "    B_O4_z         (dim_0) float64 0.7113 0.7143 0.711 0.7123\n",
       "    B_O5_x         (dim_0) float64 0.2314 0.2361 0.2358 0.2373\n",
       "    B_O5_z         (dim_0) float64 0.3406 0.3475 0.3503 0.3536\n",
       "    rw             (dim_0) float64 0.1177 0.1196 0.1076 0.1125\n",
       "    Ti             (dim_0) float64 5.0 5.0 5.0 5.0\n",
       "    Glycolic acid  (dim_0) float64 0.38 0.57 0.57 0.57\n",
       "    H2SO4          (dim_0) float64 0.79 0.622 0.622 0.622\n",
       "    H2O            (dim_0) float64 20.0 20.0 20.0 20.0\n",
       "    temperature    (dim_0) float64 130.0 160.0 190.0 190.0\n",
       "    time           (dim_0) float64 5.0 30.0 5.0 5.0\n",
       "    ligand         (dim_0) float64 0.0 0.0 0.0 1.0\n",
       "    diameter       (dim_0) float64 30.0 55.0 75.0 75.0\n",
       "    samples        (dim_0) object &#x27;JBNP32&#x27; &#x27;JBNP31&#x27; &#x27;JBNP33&#x27; &#x27;JBNP33L&#x27;\n",
       "    B_fraction     (dim_0) float64 96.06 96.07 90.87 90.18\n",
       "    A_fraction     (dim_0) float64 3.936 3.935 9.13 9.825</pre><div class='xr-wrap' hidden><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-ec61edac-d26d-4376-9ccc-d0370c2bed60' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec61edac-d26d-4376-9ccc-d0370c2bed60' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-77388237-2f17-4daa-bdaa-3f2d543c294d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77388237-2f17-4daa-bdaa-3f2d543c294d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fe44117e-b072-42aa-96c7-69b9ef49cca2' class='xr-section-summary-in' type='checkbox'  ><label for='section-fe44117e-b072-42aa-96c7-69b9ef49cca2' class='xr-section-summary' >Data variables: <span>(50)</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>L_sigma</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.02</div><input id='attrs-e714963c-6cac-4d44-abb8-643338a06d5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e714963c-6cac-4d44-abb8-643338a06d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1661a2e2-1045-4f45-88a5-7962079be4ea' class='xr-var-data-in' type='checkbox'><label for='data-1661a2e2-1045-4f45-88a5-7962079be4ea' 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>long_name :</span></dt><dd>sigma</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array(7.02022142)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_phi</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.552</div><input id='attrs-08795a76-9bf4-488e-97e6-61c893f966f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08795a76-9bf4-488e-97e6-61c893f966f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3afe8e6b-0f34-4583-9dc3-cb7f22bbd151' class='xr-var-data-in' type='checkbox'><label for='data-3afe8e6b-0f34-4583-9dc3-cb7f22bbd151' 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>long_name :</span></dt><dd>phi</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array(-2.55213385)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_amplitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.09213</div><input id='attrs-3be27086-09d5-4806-bdef-9b73cfe63d27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3be27086-09d5-4806-bdef-9b73cfe63d27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1415a1c8-8d31-486c-80ef-a03e1ad2de0d' class='xr-var-data-in' type='checkbox'><label for='data-1415a1c8-8d31-486c-80ef-a03e1ad2de0d' 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>long_name :</span></dt><dd>amplitude</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array(0.09213061)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_wavelength</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.051</div><input id='attrs-0345a528-50ff-4612-8885-4d1d7a25d934' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0345a528-50ff-4612-8885-4d1d7a25d934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4549bc65-b531-4e94-ab26-a6b4002e0c21' class='xr-var-data-in' type='checkbox'><label for='data-4549bc65-b531-4e94-ab26-a6b4002e0c21' 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>long_name :</span></dt><dd>wavelength</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array(4.05053901)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_f_psize</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.22 26.2 28.14 28.78</div><input id='attrs-e17f5b7a-1443-4f74-a3f7-7c9efd3557e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e17f5b7a-1443-4f74-a3f7-7c9efd3557e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e350905b-f707-411c-a45c-3a1e6194dde1' class='xr-var-data-in' type='checkbox'><label for='data-e350905b-f707-411c-a45c-3a1e6194dde1' 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>long_name :</span></dt><dd>diameter (PDF)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([17.21547151, 26.20163361, 28.1423    , 28.7838166 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_f_psig</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.234 9.948 11.81 11.7</div><input id='attrs-789ef7af-ff77-4669-8d1e-8bcbc57635ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-789ef7af-ff77-4669-8d1e-8bcbc57635ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0795d1bd-013e-4143-b554-521984e7aeb0' class='xr-var-data-in' type='checkbox'><label for='data-0795d1bd-013e-4143-b554-521984e7aeb0' 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>long_name :</span></dt><dd>diameter (variance)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([ 8.23415258,  9.94804273, 11.8113129 , 11.69830946])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_f_psize</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.74 53.86 61.07 59.07</div><input id='attrs-d855cd66-90bf-4c05-8745-eb5919a6cf3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d855cd66-90bf-4c05-8745-eb5919a6cf3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66c017e9-9183-419c-b142-840816747136' class='xr-var-data-in' type='checkbox'><label for='data-66c017e9-9183-419c-b142-840816747136' 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>long_name :</span></dt><dd>diameter (PDF)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([53.74139765, 53.85553792, 61.074127  , 59.074127  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_scale</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02141 0.02161 0.05097 0.04307</div><input id='attrs-b5d2d433-3e34-4512-b830-d29ce9a7d683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5d2d433-3e34-4512-b830-d29ce9a7d683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c56b2daf-3738-4a66-a301-f09b416feaeb' class='xr-var-data-in' type='checkbox'><label for='data-c56b2daf-3738-4a66-a301-f09b416feaeb' 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>long_name :</span></dt><dd>scale</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.02140972, 0.02161169, 0.05097321, 0.0430655 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_delta2</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.414 2.216 3.479 6.189</div><input id='attrs-6c7f8a9b-424f-4e0d-8ba3-3ae8c156e5db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c7f8a9b-424f-4e0d-8ba3-3ae8c156e5db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9801425-0ed0-467b-95c6-12cc06aae0ac' class='xr-var-data-in' type='checkbox'><label for='data-d9801425-0ed0-467b-95c6-12cc06aae0ac' 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>long_name :</span></dt><dd>$\\delta_2$</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([3.4139492 , 2.21623154, 3.47869668, 6.18939155])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_a</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.784 3.786 3.785 3.785</div><input id='attrs-ec4afe60-4f7d-4770-a7af-1214cd597020' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec4afe60-4f7d-4770-a7af-1214cd597020' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e10ebd85-376d-4729-ae77-dbcc86ac7c6a' class='xr-var-data-in' type='checkbox'><label for='data-e10ebd85-376d-4729-ae77-dbcc86ac7c6a' 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>long_name :</span></dt><dd>a</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([3.78449828, 3.78584816, 3.78461536, 3.78534711])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_c</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.525 9.497 9.501 9.499</div><input id='attrs-1f23ff14-61c8-472d-819a-399305d4228c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f23ff14-61c8-472d-819a-399305d4228c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1af8e336-2040-46a4-a59c-c5cf4b8cde8c' class='xr-var-data-in' type='checkbox'><label for='data-1af8e336-2040-46a4-a59c-c5cf4b8cde8c' 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>long_name :</span></dt><dd>c</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([9.5251228 , 9.49667372, 9.50078584, 9.49851695])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_Ti1_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7247 0.5023 0.4941 0.5949</div><input id='attrs-5f7b94de-80fc-4741-b647-511116494859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f7b94de-80fc-4741-b647-511116494859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06be6377-3c55-4388-be22-f2300f717793' class='xr-var-data-in' type='checkbox'><label for='data-06be6377-3c55-4388-be22-f2300f717793' 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>long_name :</span></dt><dd>B$_{iso}$(Ti1)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([0.72467997, 0.50229939, 0.49412999, 0.59494217])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_O1_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.653 1.29 1.302 1.502</div><input id='attrs-07152318-e580-4917-adac-6d4a39c09cd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07152318-e580-4917-adac-6d4a39c09cd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89844550-14f1-496e-815a-28fa5b01341a' class='xr-var-data-in' type='checkbox'><label for='data-89844550-14f1-496e-815a-28fa5b01341a' 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>long_name :</span></dt><dd>B$_{iso}$(O1)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([1.65325217, 1.29002024, 1.30152227, 1.50152227])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_O1_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2127 0.2368 0.2129 0.2117</div><input id='attrs-3bae9486-c60e-493c-906f-3ef063b648a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bae9486-c60e-493c-906f-3ef063b648a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a69d43-bfe0-4921-910b-b3b8c52c5c2b' class='xr-var-data-in' type='checkbox'><label for='data-84a69d43-bfe0-4921-910b-b3b8c52c5c2b' 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>long_name :</span></dt><dd>z(O1)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.2126638 , 0.23679877, 0.21288368, 0.21172732])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_scale</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5226 0.5277 0.5073 0.3953</div><input id='attrs-1f6aaedf-4197-4901-b9d0-0a4a42f20449' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f6aaedf-4197-4901-b9d0-0a4a42f20449' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a217075-6a94-48c5-b97f-5463445d2836' class='xr-var-data-in' type='checkbox'><label for='data-9a217075-6a94-48c5-b97f-5463445d2836' 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>long_name :</span></dt><dd>scale</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.52258164, 0.52767317, 0.50731516, 0.39526903])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_delta2</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.902 2.139 1.604 2.546</div><input id='attrs-ebfce36b-c1aa-4673-ac34-77f9845fcbad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebfce36b-c1aa-4673-ac34-77f9845fcbad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92f518da-e4af-4686-b15d-a7fd6e1acae3' class='xr-var-data-in' type='checkbox'><label for='data-92f518da-e4af-4686-b15d-a7fd6e1acae3' 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>long_name :</span></dt><dd>$\\delta_2$</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([1.90173657, 2.13889408, 1.60437394, 2.54592297])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_a</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.19 12.18 12.19 12.18</div><input id='attrs-1b3ee00c-f5d2-427a-89a5-24684b604d77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b3ee00c-f5d2-427a-89a5-24684b604d77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b344a2-9b3c-4cca-87ca-3a21c87c0c32' class='xr-var-data-in' type='checkbox'><label for='data-50b344a2-9b3c-4cca-87ca-3a21c87c0c32' 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>long_name :</span></dt><dd>a</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([12.18909989, 12.18216023, 12.1858129 , 12.18100837])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_b</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.747 3.746 3.747 3.75</div><input id='attrs-acd6c18c-3e4c-4ebb-9993-c07903dc3628' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acd6c18c-3e4c-4ebb-9993-c07903dc3628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-783ef09d-1533-4a7d-a664-db7e2356070a' class='xr-var-data-in' type='checkbox'><label for='data-783ef09d-1533-4a7d-a664-db7e2356070a' 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>long_name :</span></dt><dd>b</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([3.74702038, 3.74574346, 3.7466449 , 3.7495538 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_c</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.493 6.495 6.502 6.497</div><input id='attrs-daa0cb2c-6d9d-4149-b25d-aacef94ef4c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daa0cb2c-6d9d-4149-b25d-aacef94ef4c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b75447e9-cb8a-4fc0-a8ad-2123bb2f6261' class='xr-var-data-in' type='checkbox'><label for='data-b75447e9-cb8a-4fc0-a8ad-2123bb2f6261' 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>long_name :</span></dt><dd>c</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([6.49335939, 6.49484434, 6.50182345, 6.49682345])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_beta</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.867 1.867 1.868 1.868</div><input id='attrs-74f20e0d-b16b-45e3-88b9-afb87717e58a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74f20e0d-b16b-45e3-88b9-afb87717e58a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa08945-8b7c-43f0-9272-2c6e49bebfd1' class='xr-var-data-in' type='checkbox'><label for='data-3fa08945-8b7c-43f0-9272-2c6e49bebfd1' 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>long_name :</span></dt><dd>$\\beta$</dd><dt><span>units :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><pre>array([1.86700647, 1.86716793, 1.86763313, 1.86757232])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti0_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5337 0.5303 0.4872 0.5589</div><input id='attrs-c59096b6-c1ff-41b3-8649-91ca46bfd34b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c59096b6-c1ff-41b3-8649-91ca46bfd34b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba64579-f5b9-4ac0-819f-0b8128ef0fc4' class='xr-var-data-in' type='checkbox'><label for='data-3ba64579-f5b9-4ac0-819f-0b8128ef0fc4' 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>long_name :</span></dt><dd>B$_{iso}$(Ti0)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([0.53370865, 0.53034241, 0.48724967, 0.55886069])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti1_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6103 0.4878 0.468 0.4443</div><input id='attrs-ac8385f2-9102-45d8-8554-3777c2e65402' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8385f2-9102-45d8-8554-3777c2e65402' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22354852-688c-46d6-b7d5-9698ebeb566b' class='xr-var-data-in' type='checkbox'><label for='data-22354852-688c-46d6-b7d5-9698ebeb566b' 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>long_name :</span></dt><dd>B$_{iso}$(Ti1)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([0.61029656, 0.48783697, 0.46801603, 0.44432109])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O2_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.035 1.027 1.073 1.223</div><input id='attrs-787ab094-da31-479f-a501-4a3c8acf72f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-787ab094-da31-479f-a501-4a3c8acf72f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ddbb7d6-c037-44d5-8e46-79c528040197' class='xr-var-data-in' type='checkbox'><label for='data-7ddbb7d6-c037-44d5-8e46-79c528040197' 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>long_name :</span></dt><dd>B$_{iso}$(O2)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([1.03462512, 1.02680064, 1.07299807, 1.22289347])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O3_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.499 2.178 1.899 1.991</div><input id='attrs-4af48781-a24c-46a3-a7b6-d5b28896b657' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4af48781-a24c-46a3-a7b6-d5b28896b657' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83537bcd-36d4-463f-be9c-7f38346bdfc9' class='xr-var-data-in' type='checkbox'><label for='data-83537bcd-36d4-463f-be9c-7f38346bdfc9' 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>long_name :</span></dt><dd>B$_{iso}$(O3)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([2.49932283, 2.17788956, 1.89936978, 1.99095496])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O4_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.024 0.9588 1.09 1.012</div><input id='attrs-d9d7f209-9744-4570-8c4f-5ab191564a37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d7f209-9744-4570-8c4f-5ab191564a37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e56bd1-17bf-435a-b1d3-f1f23181a00c' class='xr-var-data-in' type='checkbox'><label for='data-34e56bd1-17bf-435a-b1d3-f1f23181a00c' 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>long_name :</span></dt><dd>B$_{iso}$(O4)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([1.02443159, 0.9587865 , 1.08951441, 1.01247348])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O5_Biso</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.195 1.755 1.77 1.622</div><input id='attrs-9adc57cd-7e01-4467-8a8f-c3bea27210df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9adc57cd-7e01-4467-8a8f-c3bea27210df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c77e535-d7bc-4b4e-9a0e-a90d39d07426' class='xr-var-data-in' type='checkbox'><label for='data-0c77e535-d7bc-4b4e-9a0e-a90d39d07426' 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>long_name :</span></dt><dd>B$_{iso}$(O5)</dd><dt><span>units :</span></dt><dd>Å$^2$</dd></dl></div><div class='xr-var-data'><pre>array([2.19499613, 1.75542973, 1.77014   , 1.62210728])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti0_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1003 0.1008 0.101 0.1011</div><input id='attrs-1f4f8ba8-097e-4480-8725-b1bdeb4d4326' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f4f8ba8-097e-4480-8725-b1bdeb4d4326' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3cd200-0ac0-4f37-8772-40bcdcc4a679' class='xr-var-data-in' type='checkbox'><label for='data-9c3cd200-0ac0-4f37-8772-40bcdcc4a679' 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>long_name :</span></dt><dd>x(Ti0)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.10033528, 0.10082795, 0.10097761, 0.10109701])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti0_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7062 0.7063 0.707 0.7068</div><input id='attrs-8d0274b9-63fa-4ce7-887f-6442184cd45d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d0274b9-63fa-4ce7-887f-6442184cd45d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8667363-604a-4950-b47f-fde742b0eaee' class='xr-var-data-in' type='checkbox'><label for='data-d8667363-604a-4950-b47f-fde742b0eaee' 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>long_name :</span></dt><dd>z(Ti0)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.70617085, 0.70628297, 0.7069852 , 0.70681128])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti1_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1967 0.1961 0.1961 0.196</div><input id='attrs-519d83c6-7f00-4e37-a523-99cdd484c74c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-519d83c6-7f00-4e37-a523-99cdd484c74c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7dceaf3-780c-4a7f-9c2b-2bda26671d9d' class='xr-var-data-in' type='checkbox'><label for='data-d7dceaf3-780c-4a7f-9c2b-2bda26671d9d' 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>long_name :</span></dt><dd>x(Ti1)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.1967217 , 0.1960699 , 0.19611681, 0.1959921 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_Ti1_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2878 0.2864 0.2863 0.2865</div><input id='attrs-f7a01064-9547-4da7-9e1b-509f8963f806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7a01064-9547-4da7-9e1b-509f8963f806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e85cc88f-d6e5-47d6-a025-6cbc1af23b78' class='xr-var-data-in' type='checkbox'><label for='data-e85cc88f-d6e5-47d6-a025-6cbc1af23b78' 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>long_name :</span></dt><dd>z(Ti1)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.28777815, 0.28640102, 0.28627437, 0.2864516 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O2_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05997 0.05987 0.05941 0.06048</div><input id='attrs-c683f708-1381-410f-a535-f89d7728784f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c683f708-1381-410f-a535-f89d7728784f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d31e1c18-d3a1-490b-b73b-b867a3928026' class='xr-var-data-in' type='checkbox'><label for='data-d31e1c18-d3a1-490b-b73b-b867a3928026' 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>long_name :</span></dt><dd>x(O2)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.05996727, 0.05987342, 0.05941121, 0.06047904])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O2_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3661 0.3631 0.363 0.3652</div><input id='attrs-a525fc7e-5128-4238-ae99-e631704c10a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a525fc7e-5128-4238-ae99-e631704c10a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8586283e-f55f-4e44-855c-4acba043ac42' class='xr-var-data-in' type='checkbox'><label for='data-8586283e-f55f-4e44-855c-4acba043ac42' 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>long_name :</span></dt><dd>z(O2)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.36614405, 0.36305757, 0.36301867, 0.36524424])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O3_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1365 0.1379 0.1353 0.1343</div><input id='attrs-b3b17d8c-65f5-4347-8212-f7878060456e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3b17d8c-65f5-4347-8212-f7878060456e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4210515b-5a4f-44c2-8199-51623da41442' class='xr-var-data-in' type='checkbox'><label for='data-4210515b-5a4f-44c2-8199-51623da41442' 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>long_name :</span></dt><dd>x(O3)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.13649346, 0.13786866, 0.13525924, 0.13425453])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O3_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02029 0.01623 0.01167 0.01399</div><input id='attrs-ea4b7ee1-dc32-479b-8ba9-fd934227a483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea4b7ee1-dc32-479b-8ba9-fd934227a483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-117896f5-ea9a-4801-b01e-a2c46526dd2f' class='xr-var-data-in' type='checkbox'><label for='data-117896f5-ea9a-4801-b01e-a2c46526dd2f' 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>long_name :</span></dt><dd>z(O3)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.02029383, 0.01623342, 0.01166514, 0.01398791])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O4_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1332 0.1352 0.1335 0.1353</div><input id='attrs-e2276c26-4197-4641-8705-bc46e7c4f499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2276c26-4197-4641-8705-bc46e7c4f499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5eb5452-ee68-4779-8a06-5328f8717482' class='xr-var-data-in' type='checkbox'><label for='data-d5eb5452-ee68-4779-8a06-5328f8717482' 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>long_name :</span></dt><dd>x(O4)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.13320815, 0.13520911, 0.13351828, 0.13533607])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O4_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7113 0.7143 0.711 0.7123</div><input id='attrs-f3552fa0-ffc0-4b33-9e18-61ab1e9d517b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3552fa0-ffc0-4b33-9e18-61ab1e9d517b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee02c8f0-d9a0-4b0c-8947-be7356879b25' class='xr-var-data-in' type='checkbox'><label for='data-ee02c8f0-d9a0-4b0c-8947-be7356879b25' 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>long_name :</span></dt><dd>z(O4)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.71127417, 0.71433663, 0.71102974, 0.71226014])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O5_x</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2314 0.2361 0.2358 0.2373</div><input id='attrs-61c5c10f-49b5-4c2d-816b-107c5886a9d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61c5c10f-49b5-4c2d-816b-107c5886a9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6499b9-667e-4660-a78c-ff6d311fadc6' class='xr-var-data-in' type='checkbox'><label for='data-0d6499b9-667e-4660-a78c-ff6d311fadc6' 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>long_name :</span></dt><dd>x(O5)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.23135721, 0.23609777, 0.23579684, 0.23731571])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_O5_z</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3406 0.3475 0.3503 0.3536</div><input id='attrs-e70f5d15-3192-4bea-850a-093e108c5547' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e70f5d15-3192-4bea-850a-093e108c5547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f363526-5c29-4e7b-beb9-72966b3ad9c4' class='xr-var-data-in' type='checkbox'><label for='data-6f363526-5c29-4e7b-beb9-72966b3ad9c4' 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>long_name :</span></dt><dd>z(O5)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.34064153, 0.34750533, 0.35033819, 0.35357842])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rw</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1177 0.1196 0.1076 0.1125</div><input id='attrs-dacd8e9e-6339-451b-8620-5d425e212ab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dacd8e9e-6339-451b-8620-5d425e212ab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-908238e9-a7db-422b-b5bc-ca31fcb929e7' class='xr-var-data-in' type='checkbox'><label for='data-908238e9-a7db-422b-b5bc-ca31fcb929e7' 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>long_name :</span></dt><dd>$R_w$</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.11768637, 0.1195777 , 0.10764385, 0.11245329])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ti</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 5.0 5.0 5.0</div><input id='attrs-6addab37-e69e-4f1a-a92b-d3d80d8e4922' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6addab37-e69e-4f1a-a92b-d3d80d8e4922' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a01f6ad-57fb-442d-bf0e-fdc4f33d3553' class='xr-var-data-in' type='checkbox'><label for='data-1a01f6ad-57fb-442d-bf0e-fdc4f33d3553' 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'></dl></div><div class='xr-var-data'><pre>array([5., 5., 5., 5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Glycolic acid</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.38 0.57 0.57 0.57</div><input id='attrs-104ff066-08d1-46a7-9cbe-5eba1a79a983' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-104ff066-08d1-46a7-9cbe-5eba1a79a983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac7e3fe5-9322-4801-a5be-d9657767c1a8' class='xr-var-data-in' type='checkbox'><label for='data-ac7e3fe5-9322-4801-a5be-d9657767c1a8' 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'></dl></div><div class='xr-var-data'><pre>array([0.38, 0.57, 0.57, 0.57])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2SO4</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.79 0.622 0.622 0.622</div><input id='attrs-99ba2c62-be04-4526-b9f5-6a0537683cb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99ba2c62-be04-4526-b9f5-6a0537683cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934b8602-0783-4db9-afce-72ee6cef4cb9' class='xr-var-data-in' type='checkbox'><label for='data-934b8602-0783-4db9-afce-72ee6cef4cb9' 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'></dl></div><div class='xr-var-data'><pre>array([0.79 , 0.622, 0.622, 0.622])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 20.0</div><input id='attrs-ab669305-a0de-42b1-a956-db01751811c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab669305-a0de-42b1-a956-db01751811c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-256faddd-60da-446d-803e-b9e99ee56e7c' class='xr-var-data-in' type='checkbox'><label for='data-256faddd-60da-446d-803e-b9e99ee56e7c' 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'></dl></div><div class='xr-var-data'><pre>array([20., 20., 20., 20.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>130.0 160.0 190.0 190.0</div><input id='attrs-29e43fc5-9424-4081-9da5-cd3c55394040' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29e43fc5-9424-4081-9da5-cd3c55394040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3de61e23-0721-40e8-bd9e-9713e0a3e76a' class='xr-var-data-in' type='checkbox'><label for='data-3de61e23-0721-40e8-bd9e-9713e0a3e76a' 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>$^\\circ$C</dd></dl></div><div class='xr-var-data'><pre>array([130., 160., 190., 190.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 30.0 5.0 5.0</div><input id='attrs-f9a8a621-b852-4a67-b8ad-fff757e3826f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9a8a621-b852-4a67-b8ad-fff757e3826f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38737e6a-2ed3-4f9a-8412-c2f33bf44799' class='xr-var-data-in' type='checkbox'><label for='data-38737e6a-2ed3-4f9a-8412-c2f33bf44799' 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>min</dd></dl></div><div class='xr-var-data'><pre>array([ 5., 30.,  5.,  5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ligand</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 1.0</div><input id='attrs-344216f8-11cb-453d-bf15-c292102cca77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-344216f8-11cb-453d-bf15-c292102cca77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f33274b5-0b1e-491a-9990-1420fe2ab09f' class='xr-var-data-in' type='checkbox'><label for='data-f33274b5-0b1e-491a-9990-1420fe2ab09f' 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'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 1.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diameter</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.0 55.0 75.0 75.0</div><input id='attrs-d1022ab4-0b39-4729-9a0f-5e6e01f2b224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1022ab4-0b39-4729-9a0f-5e6e01f2b224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-404a0aea-7536-4c72-94fc-c4065511f4de' class='xr-var-data-in' type='checkbox'><label for='data-404a0aea-7536-4c72-94fc-c4065511f4de' 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>standard_name :</span></dt><dd>diameter (TEM)</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([30., 55., 75., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>samples</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;JBNP32&#x27; &#x27;JBNP31&#x27; ... &#x27;JBNP33L&#x27;</div><input id='attrs-e2fc26c7-88d4-40ec-b4ee-7da9ff37aafa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2fc26c7-88d4-40ec-b4ee-7da9ff37aafa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a8b187-b772-4825-8690-b6c669eb8af8' class='xr-var-data-in' type='checkbox'><label for='data-44a8b187-b772-4825-8690-b6c669eb8af8' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;JBNP32&#x27;, &#x27;JBNP31&#x27;, &#x27;JBNP33&#x27;, &#x27;JBNP33L&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_fraction</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>96.06 96.07 90.87 90.18</div><input id='attrs-b3009f0b-86f9-489a-99ae-02615a809113' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3009f0b-86f9-489a-99ae-02615a809113' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24fcf27a-ecee-4f79-9063-4403d0d08b25' class='xr-var-data-in' type='checkbox'><label for='data-24fcf27a-ecee-4f79-9063-4403d0d08b25' 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>standard_name :</span></dt><dd>fraction</dd><dt><span>units :</span></dt><dd>\\%</dd></dl></div><div class='xr-var-data'><pre>array([96.06432731, 96.06548539, 90.86973383, 90.17519687])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_fraction</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.936 3.935 9.13 9.825</div><input id='attrs-bfbb013f-7ac8-412f-8de0-3cec358cfb8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfbb013f-7ac8-412f-8de0-3cec358cfb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15551da3-465d-49cd-9224-1eb62378c417' class='xr-var-data-in' type='checkbox'><label for='data-15551da3-465d-49cd-9224-1eb62378c417' 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>standard_name :</span></dt><dd>fraction</dd><dt><span>units :</span></dt><dd>\\%</dd></dl></div><div class='xr-var-data'><pre>array([3.93567269, 3.93451461, 9.13026617, 9.82480313])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fccf4bb7-f7fa-4b01-a091-0c7287b4a6a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fccf4bb7-f7fa-4b01-a091-0c7287b4a6a8' class='xr-section-summary'  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       "<xarray.Dataset>\n",
       "Dimensions:        (dim_0: 4)\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    L_sigma        float64 7.02\n",
       "    L_phi          float64 -2.552\n",
       "    L_amplitude    float64 0.09213\n",
       "    L_wavelength   float64 4.051\n",
       "    B_f_psize      (dim_0) float64 17.22 26.2 28.14 28.78\n",
       "    B_f_psig       (dim_0) float64 8.234 9.948 11.81 11.7\n",
       "    A_f_psize      (dim_0) float64 53.74 53.86 61.07 59.07\n",
       "    A_scale        (dim_0) float64 0.02141 0.02161 0.05097 0.04307\n",
       "    A_delta2       (dim_0) float64 3.414 2.216 3.479 6.189\n",
       "    A_a            (dim_0) float64 3.784 3.786 3.785 3.785\n",
       "    A_c            (dim_0) float64 9.525 9.497 9.501 9.499\n",
       "    A_Ti1_Biso     (dim_0) float64 0.7247 0.5023 0.4941 0.5949\n",
       "    A_O1_Biso      (dim_0) float64 1.653 1.29 1.302 1.502\n",
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       "    B_scale        (dim_0) float64 0.5226 0.5277 0.5073 0.3953\n",
       "    B_delta2       (dim_0) float64 1.902 2.139 1.604 2.546\n",
       "    B_a            (dim_0) float64 12.19 12.18 12.19 12.18\n",
       "    B_b            (dim_0) float64 3.747 3.746 3.747 3.75\n",
       "    B_c            (dim_0) float64 6.493 6.495 6.502 6.497\n",
       "    B_beta         (dim_0) float64 1.867 1.867 1.868 1.868\n",
       "    B_Ti0_Biso     (dim_0) float64 0.5337 0.5303 0.4872 0.5589\n",
       "    B_Ti1_Biso     (dim_0) float64 0.6103 0.4878 0.468 0.4443\n",
       "    B_O2_Biso      (dim_0) float64 1.035 1.027 1.073 1.223\n",
       "    B_O3_Biso      (dim_0) float64 2.499 2.178 1.899 1.991\n",
       "    B_O4_Biso      (dim_0) float64 1.024 0.9588 1.09 1.012\n",
       "    B_O5_Biso      (dim_0) float64 2.195 1.755 1.77 1.622\n",
       "    B_Ti0_x        (dim_0) float64 0.1003 0.1008 0.101 0.1011\n",
       "    B_Ti0_z        (dim_0) float64 0.7062 0.7063 0.707 0.7068\n",
       "    B_Ti1_x        (dim_0) float64 0.1967 0.1961 0.1961 0.196\n",
       "    B_Ti1_z        (dim_0) float64 0.2878 0.2864 0.2863 0.2865\n",
       "    B_O2_x         (dim_0) float64 0.05997 0.05987 0.05941 0.06048\n",
       "    B_O2_z         (dim_0) float64 0.3661 0.3631 0.363 0.3652\n",
       "    B_O3_x         (dim_0) float64 0.1365 0.1379 0.1353 0.1343\n",
       "    B_O3_z         (dim_0) float64 0.02029 0.01623 0.01167 0.01399\n",
       "    B_O4_x         (dim_0) float64 0.1332 0.1352 0.1335 0.1353\n",
       "    B_O4_z         (dim_0) float64 0.7113 0.7143 0.711 0.7123\n",
       "    B_O5_x         (dim_0) float64 0.2314 0.2361 0.2358 0.2373\n",
       "    B_O5_z         (dim_0) float64 0.3406 0.3475 0.3503 0.3536\n",
       "    rw             (dim_0) float64 0.1177 0.1196 0.1076 0.1125\n",
       "    Ti             (dim_0) float64 5.0 5.0 5.0 5.0\n",
       "    Glycolic acid  (dim_0) float64 0.38 0.57 0.57 0.57\n",
       "    H2SO4          (dim_0) float64 0.79 0.622 0.622 0.622\n",
       "    H2O            (dim_0) float64 20.0 20.0 20.0 20.0\n",
       "    temperature    (dim_0) float64 130.0 160.0 190.0 190.0\n",
       "    time           (dim_0) float64 5.0 30.0 5.0 5.0\n",
       "    ligand         (dim_0) float64 0.0 0.0 0.0 1.0\n",
       "    diameter       (dim_0) float64 30.0 55.0 75.0 75.0\n",
       "    samples        (dim_0) object 'JBNP32' 'JBNP31' 'JBNP33' 'JBNP33L'\n",
       "    B_fraction     (dim_0) float64 96.06 96.07 90.87 90.18\n",
       "    A_fraction     (dim_0) float64 3.936 3.935 9.13 9.825"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = xr.load_dataset(\"results2/parameters.nc\")\n",
    "params = process_param2(params)\n",
    "params = params.sortby([\"temperature\", \"time\", \"ligand\"])\n",
    "params"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3cec4e1",
   "metadata": {},
   "source": [
    "## The quality of the fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9f2b656c",
   "metadata": {},
   "outputs": [
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       "\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:        (dim_0: 4, x: 4841, xobs: 10001)\n",
       "Coordinates:\n",
       "  * x              (x) float64 1.6 1.61 1.62 1.63 ... 49.97 49.98 49.99 50.0\n",
       "  * xobs           (xobs) float64 0.0 0.01 0.02 0.03 ... 99.97 99.98 99.99 100.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y              (dim_0, x) float64 -0.6139 -0.6097 ... 0.001426 0.001998\n",
       "    ycalc          (dim_0, x) float64 -0.509 -0.4935 ... -0.0008184 -0.0009841\n",
       "    yobs           (dim_0, xobs) float64 0.0 -0.00372 ... 0.00147 0.001737\n",
       "    Ti             (dim_0) float64 5.0 5.0 5.0 5.0\n",
       "    Glycolic acid  (dim_0) float64 0.38 0.57 0.57 0.57\n",
       "    H2SO4          (dim_0) float64 0.79 0.622 0.622 0.622\n",
       "    H2O            (dim_0) float64 20.0 20.0 20.0 20.0\n",
       "    temperature    (dim_0) float64 130.0 160.0 190.0 190.0\n",
       "    time           (dim_0) float64 5.0 30.0 5.0 5.0\n",
       "    ligand         (dim_0) float64 0.0 0.0 0.0 1.0\n",
       "    diameter       (dim_0) float64 30.0 55.0 75.0 75.0\n",
       "    samples        (dim_0) object &#x27;JBNP32&#x27; &#x27;JBNP31&#x27; &#x27;JBNP33&#x27; &#x27;JBNP33L&#x27;\n",
       "    rw             (dim_0) float64 0.1177 0.1196 0.1076 0.1125</pre><div class='xr-wrap' hidden><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-eb7a8683-40db-42a1-a6c4-b8f1ff038054' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb7a8683-40db-42a1-a6c4-b8f1ff038054' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 4</li><li><span class='xr-has-index'>x</span>: 4841</li><li><span class='xr-has-index'>xobs</span>: 10001</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-15ee618b-b624-45e6-96a5-ea868d02318b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15ee618b-b624-45e6-96a5-ea868d02318b' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.6 1.61 1.62 ... 49.98 49.99 50.0</div><input id='attrs-3ff778a7-a0ff-4b55-9bc3-8f8df7a5236a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ff778a7-a0ff-4b55-9bc3-8f8df7a5236a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43572a4d-01bb-493d-9ef9-8e8553c4c335' class='xr-var-data-in' type='checkbox'><label for='data-43572a4d-01bb-493d-9ef9-8e8553c4c335' 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>standard_name :</span></dt><dd>r</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([ 1.6 ,  1.61,  1.62, ..., 49.98, 49.99, 50.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xobs</span></div><div class='xr-var-dims'>(xobs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 99.98 99.99 100.0</div><input id='attrs-fc7e15a7-bf91-4f09-83cb-cf6916bc9a41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc7e15a7-bf91-4f09-83cb-cf6916bc9a41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2438d354-b95e-4e7e-89c0-371c92fa29a2' class='xr-var-data-in' type='checkbox'><label for='data-2438d354-b95e-4e7e-89c0-371c92fa29a2' 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>standard_name :</span></dt><dd>r</dd><dt><span>units :</span></dt><dd>Å</dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e-02, 2.000e-02, ..., 9.998e+01, 9.999e+01, 1.000e+02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd28223a-adba-49fa-b8d7-4a4276d371ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd28223a-adba-49fa-b8d7-4a4276d371ef' class='xr-section-summary' >Data variables: <span>(13)</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>y</span></div><div class='xr-var-dims'>(dim_0, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.6139 -0.6097 ... 0.001998</div><input id='attrs-e1840cca-6922-4a64-8d59-e286ec2f79fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1840cca-6922-4a64-8d59-e286ec2f79fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416dcf70-1f57-42ef-afee-04d2d9037a52' class='xr-var-data-in' type='checkbox'><label for='data-416dcf70-1f57-42ef-afee-04d2d9037a52' 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>standard_name :</span></dt><dd>G</dd><dt><span>units :</span></dt><dd>Å$^{-2}$</dd></dl></div><div class='xr-var-data'><pre>array([[-0.613865  , -0.609654  , -0.599116  , ..., -0.00158659,\n",
       "        -0.00115739, -0.00066773],\n",
       "       [-0.640786  , -0.633114  , -0.620147  , ...,  0.00214993,\n",
       "         0.0021481 ,  0.00217357],\n",
       "       [-0.651998  , -0.646779  , -0.636593  , ...,  0.0077295 ,\n",
       "         0.00738303,  0.00697477],\n",
       "       [-0.430251  , -0.437049  , -0.439857  , ...,  0.00095513,\n",
       "         0.00142646,  0.00199801]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ycalc</span></div><div class='xr-var-dims'>(dim_0, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.509 -0.4935 ... -0.0009841</div><input id='attrs-e5534270-c725-45a2-91d1-5934cf2e00c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5534270-c725-45a2-91d1-5934cf2e00c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bee033df-929e-41cc-86a1-f7a697a1301a' class='xr-var-data-in' type='checkbox'><label for='data-bee033df-929e-41cc-86a1-f7a697a1301a' 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>standard_name :</span></dt><dd>G</dd><dt><span>units :</span></dt><dd>Å$^{-2}$</dd></dl></div><div class='xr-var-data'><pre>array([[-5.09006380e-01, -4.93514429e-01, -4.76125183e-01, ...,\n",
       "        -3.62073151e-04, -3.90318285e-04, -4.16869577e-04],\n",
       "       [-5.78257592e-01, -5.61638457e-01, -5.42649684e-01, ...,\n",
       "        -7.79581793e-04, -8.30914359e-04, -8.77275437e-04],\n",
       "       [-6.05362118e-01, -5.87151457e-01, -5.67044005e-01, ...,\n",
       "        -1.31125589e-03, -1.52906934e-03, -1.74537166e-03],\n",
       "       [-4.42283945e-01, -4.27149033e-01, -4.10755789e-01, ...,\n",
       "        -6.49559255e-04, -8.18377860e-04, -9.84069325e-04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yobs</span></div><div class='xr-var-dims'>(dim_0, xobs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 -0.00372 ... 0.00147 0.001737</div><input id='attrs-ecec1647-6a35-4856-a713-db2899604050' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecec1647-6a35-4856-a713-db2899604050' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e41eb9ae-e5b3-479d-b2f6-8943527bc53c' class='xr-var-data-in' type='checkbox'><label for='data-e41eb9ae-e5b3-479d-b2f6-8943527bc53c' 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>standard_name :</span></dt><dd>G</dd><dt><span>units :</span></dt><dd>Å$^{-2}$</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.00000e+00, -3.71957e-03, -7.23866e-03, ...,  8.35039e-04,\n",
       "         1.08128e-03,  1.26038e-03],\n",
       "       [ 0.00000e+00, -8.15478e-04, -1.57538e-03, ..., -2.22246e-04,\n",
       "        -5.45145e-05,  9.36205e-05],\n",
       "       [ 0.00000e+00, -1.36863e-03, -2.65201e-03, ..., -1.07100e-04,\n",
       "         2.48631e-05,  1.40173e-04],\n",
       "       [ 0.00000e+00, -4.57916e-03, -8.91683e-03, ...,  1.14810e-03,\n",
       "         1.47003e-03,  1.73662e-03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ti</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 5.0 5.0 5.0</div><input id='attrs-4d36e1d6-725c-4e63-bec2-21a81018ba35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d36e1d6-725c-4e63-bec2-21a81018ba35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f44ee8bb-3493-494e-bacd-2fb523f5bf3a' class='xr-var-data-in' type='checkbox'><label for='data-f44ee8bb-3493-494e-bacd-2fb523f5bf3a' 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'></dl></div><div class='xr-var-data'><pre>array([5., 5., 5., 5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Glycolic acid</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.38 0.57 0.57 0.57</div><input id='attrs-91c42649-a966-4bc1-a7dc-c9d4ee308027' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91c42649-a966-4bc1-a7dc-c9d4ee308027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94245b53-f1b8-4c81-94b3-a11a05d9ccfe' class='xr-var-data-in' type='checkbox'><label for='data-94245b53-f1b8-4c81-94b3-a11a05d9ccfe' 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'></dl></div><div class='xr-var-data'><pre>array([0.38, 0.57, 0.57, 0.57])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2SO4</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.79 0.622 0.622 0.622</div><input id='attrs-0af2173d-3cb5-47fa-a64a-bc181c482fdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0af2173d-3cb5-47fa-a64a-bc181c482fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67490d4d-95f8-489c-ab67-b6e865b69adc' class='xr-var-data-in' type='checkbox'><label for='data-67490d4d-95f8-489c-ab67-b6e865b69adc' 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'></dl></div><div class='xr-var-data'><pre>array([0.79 , 0.622, 0.622, 0.622])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 20.0</div><input id='attrs-d11a802d-73ea-4a15-9c4c-921a512880a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d11a802d-73ea-4a15-9c4c-921a512880a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1827ff35-2557-4fd8-a622-d3c50c4c5bc4' class='xr-var-data-in' type='checkbox'><label for='data-1827ff35-2557-4fd8-a622-d3c50c4c5bc4' 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'></dl></div><div class='xr-var-data'><pre>array([20., 20., 20., 20.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>130.0 160.0 190.0 190.0</div><input id='attrs-0bb8b85b-9f51-4544-94cf-03e7a897ed0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb8b85b-9f51-4544-94cf-03e7a897ed0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-443cecef-1f17-412b-815c-3dd7828edaa2' class='xr-var-data-in' type='checkbox'><label for='data-443cecef-1f17-412b-815c-3dd7828edaa2' 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>$^\\circ$C</dd></dl></div><div class='xr-var-data'><pre>array([130., 160., 190., 190.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 30.0 5.0 5.0</div><input id='attrs-6d87d336-2f4f-4046-b89b-966347178bce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d87d336-2f4f-4046-b89b-966347178bce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7718c81-15d0-43c4-8ef6-255a82a232ae' class='xr-var-data-in' type='checkbox'><label for='data-b7718c81-15d0-43c4-8ef6-255a82a232ae' 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>min</dd></dl></div><div class='xr-var-data'><pre>array([ 5., 30.,  5.,  5.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ligand</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 1.0</div><input id='attrs-98ce96ec-987b-4267-8cee-b311a4d94aa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98ce96ec-987b-4267-8cee-b311a4d94aa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e47fa317-7114-457d-ac91-f1bd3756e359' class='xr-var-data-in' type='checkbox'><label for='data-e47fa317-7114-457d-ac91-f1bd3756e359' 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'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 1.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diameter</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.0 55.0 75.0 75.0</div><input id='attrs-7a734f31-16f0-4480-b847-8388e3413e33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a734f31-16f0-4480-b847-8388e3413e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e00c0362-eb31-4fc2-ad85-04f6c00eb6b2' class='xr-var-data-in' type='checkbox'><label for='data-e00c0362-eb31-4fc2-ad85-04f6c00eb6b2' 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'></dl></div><div class='xr-var-data'><pre>array([30., 55., 75., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>samples</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;JBNP32&#x27; &#x27;JBNP31&#x27; ... &#x27;JBNP33L&#x27;</div><input id='attrs-d07d4582-4ab4-475c-b2d1-f83a91157fba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d07d4582-4ab4-475c-b2d1-f83a91157fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5b3ce8e-a561-4e3b-a7df-68e583770c92' class='xr-var-data-in' type='checkbox'><label for='data-c5b3ce8e-a561-4e3b-a7df-68e583770c92' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;JBNP32&#x27;, &#x27;JBNP31&#x27;, &#x27;JBNP33&#x27;, &#x27;JBNP33L&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rw</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1177 0.1196 0.1076 0.1125</div><input id='attrs-0d2876ed-af53-48c1-a877-6d4be12f1a46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d2876ed-af53-48c1-a877-6d4be12f1a46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ba1f69-6e9d-4822-b41a-5a6b01e3e66a' class='xr-var-data-in' type='checkbox'><label for='data-91ba1f69-6e9d-4822-b41a-5a6b01e3e66a' 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>long_name :</span></dt><dd>$R_w$</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.11768637, 0.1195777 , 0.10764385, 0.11245329])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8743d17d-26d8-42bb-a928-b8878a9c7f0b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8743d17d-26d8-42bb-a928-b8878a9c7f0b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (dim_0: 4, x: 4841, xobs: 10001)\n",
       "Coordinates:\n",
       "  * x              (x) float64 1.6 1.61 1.62 1.63 ... 49.97 49.98 49.99 50.0\n",
       "  * xobs           (xobs) float64 0.0 0.01 0.02 0.03 ... 99.97 99.98 99.99 100.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y              (dim_0, x) float64 -0.6139 -0.6097 ... 0.001426 0.001998\n",
       "    ycalc          (dim_0, x) float64 -0.509 -0.4935 ... -0.0008184 -0.0009841\n",
       "    yobs           (dim_0, xobs) float64 0.0 -0.00372 ... 0.00147 0.001737\n",
       "    Ti             (dim_0) float64 5.0 5.0 5.0 5.0\n",
       "    Glycolic acid  (dim_0) float64 0.38 0.57 0.57 0.57\n",
       "    H2SO4          (dim_0) float64 0.79 0.622 0.622 0.622\n",
       "    H2O            (dim_0) float64 20.0 20.0 20.0 20.0\n",
       "    temperature    (dim_0) float64 130.0 160.0 190.0 190.0\n",
       "    time           (dim_0) float64 5.0 30.0 5.0 5.0\n",
       "    ligand         (dim_0) float64 0.0 0.0 0.0 1.0\n",
       "    diameter       (dim_0) float64 30.0 55.0 75.0 75.0\n",
       "    samples        (dim_0) object 'JBNP32' 'JBNP31' 'JBNP33' 'JBNP33L'\n",
       "    rw             (dim_0) float64 0.1177 0.1196 0.1076 0.1125"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fits = xr.load_dataset(\"results2/fits.nc\")\n",
    "fits = fits.sortby([\"temperature\", \"time\", \"ligand\"])\n",
    "fits = fits.assign({\"rw\": params[\"rw\"]})\n",
    "fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1f75a0e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x810 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import string\n",
    "\n",
    "\n",
    "axes = md.plot_fits_along_dim(fits, dim=\"dim_0\", num_row=4, grid_config={\"hspace\": 0}, \n",
    "                              figure_config={\"figsize\": (4 * 1.5, 1.5 * 5 * 1.5)})\n",
    "\n",
    "def edit_axes():\n",
    "    n = len(axes)\n",
    "    for i in range(n - 1):\n",
    "        ax = axes[i]\n",
    "        ax.set_xticklabels([])\n",
    "        ax.set_xlabel(\"\")\n",
    "    for i in range(n):\n",
    "        ax = axes[i]\n",
    "        f = fits.isel(dim_0=i)\n",
    "        ws = []\n",
    "        rw = \"$R_w$ {:.3f}\\n\".format(f[\"rw\"].item())\n",
    "        ws.append(rw)\n",
    "        T = \"{} $^\\circ$C\".format(f[\"temperature\"].item())\n",
    "        ws.append(T)\n",
    "        t = \"{} min\".format(f[\"time\"].item())\n",
    "        ws.append(t)\n",
    "        l = \"\\nadd ligand\" if f[\"ligand\"].item() else \"\"\n",
    "        if l:\n",
    "            ws.append(l)\n",
    "        legend = \" \".join(ws)\n",
    "        ax.annotate(legend, (0.65, 0.65), xycoords='axes fraction')\n",
    "        use_parentheses(ax)\n",
    "        title = \"({})\".format(string.ascii_lowercase[i])\n",
    "        ax.annotate(title, (-0.1, 0.9), xycoords='axes fraction')\n",
    "    return\n",
    "        \n",
    "edit_axes()\n",
    "paper_exporter(\"final_model_fitting.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9708b9b",
   "metadata": {},
   "source": [
    "## The $R_w$ compared with the results before"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c342307",
   "metadata": {},
   "source": [
    "It seems that the quality of the fits is not as good as before and the parameters trend is not expected. Redo the fitting in the analysis5.ipynb."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5427ac4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def compare_Rw():\n",
    "    sr = params.set_index({\"dim_0\": \"samples\"})[\"rw\"].to_series()\n",
    "    res = pd.read_csv(\"result.csv\", index_col=0)\n",
    "    sr2 = res.T[\"Rw\"]\n",
    "    return pd.concat([sr, sr2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1f65f246",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rw</th>\n",
       "      <th>Rw</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>JBNP32</th>\n",
       "      <td>0.117686</td>\n",
       "      <td>0.116418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP31</th>\n",
       "      <td>0.119578</td>\n",
       "      <td>0.118445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP33</th>\n",
       "      <td>0.107644</td>\n",
       "      <td>0.106460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP33L</th>\n",
       "      <td>0.112453</td>\n",
       "      <td>0.112239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JBNP32L</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.167404</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               rw        Rw\n",
       "JBNP32   0.117686  0.116418\n",
       "JBNP31   0.119578  0.118445\n",
       "JBNP33   0.107644  0.106460\n",
       "JBNP33L  0.112453  0.112239\n",
       "JBNP32L       NaN  0.167404"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare_Rw()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7269fa77",
   "metadata": {},
   "source": [
    "### The proportion of bronze phase"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fa1cfea",
   "metadata": {},
   "source": [
    "The proportion of the Bronze phase is correlated with the temperature if we think the sample 1 is an outlier."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91dd3ad9",
   "metadata": {},
   "source": [
    "If the outlier is removed, then the fraction of Bronze synthesized at 130 C has 5% more bronze phase inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "90778c96",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['lines.markersize'] = 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "30ee4f13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#0B3C5D',\n",
       " '#B82601',\n",
       " '#1c6b0a',\n",
       " '#328CC1',\n",
       " '#a8b6c1',\n",
       " '#D9B310',\n",
       " '#984B43',\n",
       " '#76323F',\n",
       " '#626E60',\n",
       " '#AB987A',\n",
       " '#C09F80',\n",
       " '#b0b0b0']"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_colors()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dc57da29",
   "metadata": {},
   "outputs": [],
   "source": [
    "COLORS = ['#0B3C5D'] * 3 + ['#328CC1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5d174250",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_fraction_of_bronze(ax=None):\n",
    "    if ax is None:\n",
    "        fig, ax = plt.subplots(1, 1, figsize=(4, 3))\n",
    "    params.plot.scatter(\"temperature\", \"A_fraction\", ax=ax, c=COLORS)\n",
    "    return\n",
    "    \n",
    "show_fraction_of_bronze()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "826771ce",
   "metadata": {},
   "source": [
    "### The lattice of bronze phase"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4f85fe3",
   "metadata": {},
   "source": [
    "The sample 1 is an outlier in structure parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6236c785",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_lattice_of_bronze_phase(axes = None):\n",
    "    if axes is None:\n",
    "        fig, axes = plt.subplots(3, 1, sharex=True, gridspec_kw={\"hspace\": 0}, figsize=(4, 3 * 3))\n",
    "    keys = [\"B_a\", \"B_b\", \"B_c\"]\n",
    "    n = len(axes)\n",
    "    for i in range(n):\n",
    "        params.plot.scatter(\"temperature\", keys[i], ax=axes[i], c=COLORS)\n",
    "        mu = params[keys[i]].mean().item()\n",
    "        sigma = params[keys[i]].max().item() - params[keys[i]].min().item()\n",
    "        axes[i].set_ylim(mu - 0.03, mu + 0.03)\n",
    "        # axes[i].legend([\"{:.3f}\".format(sigma)])\n",
    "    return\n",
    "    \n",
    "show_lattice_of_bronze_phase()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13502103",
   "metadata": {},
   "source": [
    "### Particle size of the nanoparticles"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f39437",
   "metadata": {},
   "source": [
    "The one synthesized at 130 C also has a much smaller particle size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "417bdcd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_sizes(axes=None):\n",
    "    keys = [\"diameter\", \"B_f_psize\"]\n",
    "    n = len(keys)\n",
    "    if axes is None:\n",
    "        fig, axes = plt.subplots(n, 1, sharex=True, figsize=(4, 3 * n), gridspec_kw={\"hspace\": 0})\n",
    "    for i in range(n):\n",
    "        params.plot.scatter(\"temperature\", keys[i], ax=axes[i], c = COLORS)\n",
    "    return\n",
    "\n",
    "show_sizes()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f73337e0",
   "metadata": {},
   "source": [
    "### The disorder in the structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "c29cd337",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_adps(axes=None):\n",
    "    if axes is None:\n",
    "        fig, axes = plt.subplots(2, 3, sharex=True, gridspec_kw={\"hspace\": 0, \"wspace\": 0.4})\n",
    "        fig.set_size_inches(3 * 4, 2 * 3)\n",
    "    axes = axes.T.flatten()\n",
    "    keys = [\"B_Ti0_Biso\", \"B_Ti1_Biso\", \"B_O2_Biso\", \"B_O4_Biso\", \"B_O3_Biso\", \"B_O5_Biso\"]\n",
    "    params2 = params[keys] / (8 * np.pi ** 2)\n",
    "    params2 = params2.assign({\"temperature\": params[\"temperature\"]})\n",
    "    n = len(keys)\n",
    "    for i in range(n):\n",
    "        params2[keys[i]].attrs[\"long_name\"] = params[keys[i]].attrs[\"long_name\"].replace(\"B\", \"U\")\n",
    "    for i in range(n):\n",
    "        params2.plot.scatter(\"temperature\", keys[i], ax=axes[i], c=COLORS)\n",
    "    return\n",
    "\n",
    "show_adps()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f2b44dd",
   "metadata": {},
   "source": [
    "## Combine all the plots together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "298643db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1036.8x1036.8 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scale = 1.2\n",
    "fig, axes = plt.subplots(\n",
    "    4, 3, \n",
    "    sharex=True, \n",
    "    gridspec_kw={\"wspace\":0.35, \"hspace\":0.0}, \n",
    "    figsize=(4 * 3 * scale, 3 * 4 * scale)\n",
    ")\n",
    "# plot\n",
    "show_fraction_of_bronze(axes[0, 0])\n",
    "show_sizes(axes[0, 1:])\n",
    "show_lattice_of_bronze_phase(axes[1, :])\n",
    "show_adps(axes[2:, :].flatten())\n",
    "# modify axes\n",
    "ex, ey = 0.01, 0.05\n",
    "for i, ax in enumerate(axes.flatten()):\n",
    "    use_parentheses(ax)\n",
    "    title = \"({})\".format(string.ascii_lowercase[i])\n",
    "    xlim = ax.get_xlim()\n",
    "    xlim2 = xlim[0] - ex * (xlim[1] - xlim[0]), xlim[1] + ex * (xlim[1] - xlim[0])\n",
    "    ax.set_xlim(*xlim2)\n",
    "    ylim = ax.get_ylim()\n",
    "    ylim2 = ylim[0] - ey * (ylim[1] - ylim[0]), ylim[1] + ey * (ylim[1] - ylim[0])\n",
    "    ax.set_ylim(*ylim2)\n",
    "    ax.set_title(title, x=-0.25, y=0.9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "9c701121",
   "metadata": {},
   "outputs": [],
   "source": [
    "paper_exporter(\"parameters.pdf\", fig=fig);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:research]",
   "language": "python",
   "name": "conda-env-research-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}