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    "# GLM Basis Functions"
   ]
  },
  {
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    "execution": {
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   ],
   "source": [
    "import cedalion\n",
    "import cedalion.models.glm.basis_functions as bf\n",
    "import cedalion.models.glm.design_matrix as dm\n",
    "\n",
    "import cedalion.dataclasses as cdc\n",
    "\n",
    "import matplotlib.pyplot as p\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as p\n",
    "import cedalion.datasets\n",
    "\n",
    "units = cedalion.units\n",
    "\n",
    "xr.set_options(display_expand_data=False)"
   ]
  },
  {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 100, channel: 1, chromo: 2)&gt; Size: 2kB\n",
       "[µM] 0.5818 0.4453 0.458 0.5398 0.9459 ... 0.06786 0.2011 0.9574 0.4412 0.6611\n",
       "Coordinates:\n",
       "  * time     (time) float64 800B 0.0 0.125 0.25 0.375 ... 12.0 12.12 12.25 12.38\n",
       "    samples  (time) int64 800B 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99\n",
       "  * channel  (channel) &lt;U4 16B &#x27;S1D1&#x27;\n",
       "  * chromo   (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span class='xr-has-index'>channel</span>: 1</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ce5e98c0-90e4-4ad5-8afb-703a8d82f415' class='xr-array-in' type='checkbox' ><label for='section-ce5e98c0-90e4-4ad5-8afb-703a8d82f415' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[µM] 0.5818 0.4453 0.458 0.5398 0.9459 ... 0.2011 0.9574 0.4412 0.6611</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[[0.5818139134361325 0.4452601425485456]] [[0.4580455133525564 0.539770560193265]] [[0.9459017429119011 0.2337299097500175]] [[0.8904183251272663 0.9210194677800946]] [[0.0715778262389144 0.6575665656595215]] [[0.17748195485067797 0.7147138141315241]] [[0.6145837140303821 0.8356012887453006]] [[0.8447582087680344 0.054105206112785575]] [[0.852123981992147 0.75245769966265]] [[0.5549887602514628 0.06572705599269468]] [[0.2146995036670597 0.6812029044259543]] [[0.22683252261402398 0.7237370113823245]] [[0.8987586739616675 0.3126012819850832]] [[0.42971551479931835 0.008284087474671575]] [[0.738112800802928 0.4381006020097622]] [[0.7826138456678765 0.8502468806579413]] [[0.43481109543507557 0.6922790987945269]] [[0.4583349090203809 0.36649525540905314]] [[0.2676486817586874 0.09109504553718284]] [[0.7532681770881459 0.19843973656957326]] [[0.20593516859969152 0.2969334833264837]] [[0.6985158121952021 0.38513646417114566]] [[0.9237230231438622 0.6588761574347874]] [[0.548648984583389 0.6317710764560187]] [[0.035059134425182825 0.6328896524308548]] [[0.7450322420224583 0.00111223211623801]] [[0.9401911117185077 0.006539618877103748]] [[0.09491234810047311 0.6264760076589925]] [[0.26196303134661225 0.592785440657062]] [[0.42705967692362456 0.43572769820551505]] [[0.4784940751631027 0.4105235802281846]] [[0.8670321661470418 0.8501131785806885]] [[0.8672560320602445 0.022010113254886]] [[0.2076735498790243 0.5125876185412522]] [[0.34785029536315126 0.5001842113264966]] [[0.39914803732840654 0.44741719896423426]] [[0.05221480739161011 0.11842271119641101]] [[0.8352821307821394 0.03776492538069964]] [[0.7855585677644525 0.9874929167052887]] [[0.18847720030414405 0.5445792267469587]] [[0.5803945589735041 0.2446522021732721]] [[0.8839926693766368 0.5167352052912968]] [[0.1005167955855385 0.11461823159196405]] [[0.8478571513588463 0.09009824681634082]] [[0.6901861046412243 0.4405743613031542]] [[0.623346336215356 0.9916775926491255]] [[0.66719756993383 0.2595821385983883]] [[0.19631071798811583 0.822005567717606]] [[0.8006229417677015 0.005113816096325552]] [[0.10069692200673885 0.10672832207097804]] [[0.5201988082959779 0.127154090509481]] [[0.885392087118434 0.43446010327721307]] [[0.07074143944124278 0.2183844221080492]] [[0.3954450291936318 0.9174874914302742]] [[0.6798489398297349 0.7318295059979746]] [[0.2278589244118132 0.9829222703469683]] [[0.3563195381941553 0.3941372094274519]] [[0.0387565441557155 0.3770801079415622]] [[0.9648518069920627 0.5545277519309071]] [[0.32543444729860127 0.5686579361767242]] [[0.6842635949770723 0.8215003604666747]] [[0.25476124109728937 0.0017335989548827868]] [[0.6202181392956838 0.8916319338411614]] [[0.6816377678947015 0.3034813838624114]] [[0.08329939242440632 0.6164660305551337]] [[0.5018096156180432 0.968752913593836]] [[0.17968336243735816 0.020047138832279487]] [[0.647145916869036 0.04622099976385574]] [[0.7131249959356171 0.31621801447544606]] [[0.44876263212973655 0.33780712165164717]] [[0.29236137198827594 0.04122870792834932]] [[0.8361800915685762 0.5441309883820128]] [[0.008455311038664481 0.1788749002835942]] [[0.08687448164272016 0.9056330385417553]] [[0.47610088834634223 0.32634653428785665]] [[0.649718761241911 0.7383530180853515]] [[0.2659616388715468 0.11451617190167573]] [[0.550203490820825 0.4648784231888551]] [[0.9122408776183211 0.2330045305376809]] [[0.462471481762074 0.736948790647197]] [[0.471650169050838 0.25673057743812]] [[0.8084890757116556 0.389187734017022]] [[0.3444006697770696 0.28689099677697916]] [[0.0809613512273355 0.9202396195326864]] [[0.6956963309882482 0.22539706721463226]] [[0.6536832655357016 0.8874234989610458]] [[0.226053942352618 0.2772734641556397]] [[0.6490986047904648 0.4692430764224209]] [[0.28933569906352674 0.6942781484339309]] [[0.3076865761977936 0.1811103238473052]] [[0.21215915509591243 0.8670498937869506]] [[0.4290439652089738 0.49240111924039065]] [[0.6014224487409437 0.14312191024230714]] [[0.12351436174594643 0.5716745011889796]] [[0.9757486884586656 0.48383410894532597]] [[0.2628132748334169 0.20882081301637978]] [[0.7939893884037476 0.3986665618514007]] [[0.20194849803892234 0.06786136024547085]] [[0.20108187988724535 0.9573732094086743]] [[0.44119946390236575 0.6610654093914706]]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>micromolar</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-3632a8c7-efe0-4dcc-9be3-8ac89d760210' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3632a8c7-efe0-4dcc-9be3-8ac89d760210' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125 0.25 ... 12.25 12.38</div><input id='attrs-eed175be-4af6-45e0-8b0d-c0c23fecfa1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eed175be-4af6-45e0-8b0d-c0c23fecfa1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-099bb66a-246a-4055-98d7-5c9f8ab4464f' class='xr-var-data-in' type='checkbox'><label for='data-099bb66a-246a-4055-98d7-5c9f8ab4464f' 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>second</dd></dl></div><div class='xr-var-data'><pre>array([ 0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,  1.   ,\n",
       "        1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875,  2.   ,  2.125,\n",
       "        2.25 ,  2.375,  2.5  ,  2.625,  2.75 ,  2.875,  3.   ,  3.125,  3.25 ,\n",
       "        3.375,  3.5  ,  3.625,  3.75 ,  3.875,  4.   ,  4.125,  4.25 ,  4.375,\n",
       "        4.5  ,  4.625,  4.75 ,  4.875,  5.   ,  5.125,  5.25 ,  5.375,  5.5  ,\n",
       "        5.625,  5.75 ,  5.875,  6.   ,  6.125,  6.25 ,  6.375,  6.5  ,  6.625,\n",
       "        6.75 ,  6.875,  7.   ,  7.125,  7.25 ,  7.375,  7.5  ,  7.625,  7.75 ,\n",
       "        7.875,  8.   ,  8.125,  8.25 ,  8.375,  8.5  ,  8.625,  8.75 ,  8.875,\n",
       "        9.   ,  9.125,  9.25 ,  9.375,  9.5  ,  9.625,  9.75 ,  9.875, 10.   ,\n",
       "       10.125, 10.25 , 10.375, 10.5  , 10.625, 10.75 , 10.875, 11.   , 11.125,\n",
       "       11.25 , 11.375, 11.5  , 11.625, 11.75 , 11.875, 12.   , 12.125, 12.25 ,\n",
       "       12.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>samples</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-96b49309-4f92-4830-9a76-84e8c793f65f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96b49309-4f92-4830-9a76-84e8c793f65f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-316c9901-f61e-4a89-9383-b022b7d95501' class='xr-var-data-in' type='checkbox'><label for='data-316c9901-f61e-4a89-9383-b022b7d95501' 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,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "       17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
       "       34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,\n",
       "       51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,\n",
       "       68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,\n",
       "       85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;S1D1&#x27;</div><input id='attrs-a43e726a-28b2-4a1f-9a35-6b39a9fbf91f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a43e726a-28b2-4a1f-9a35-6b39a9fbf91f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54a18f38-9571-4f09-8354-43be500a2944' class='xr-var-data-in' type='checkbox'><label for='data-54a18f38-9571-4f09-8354-43be500a2944' 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;S1D1&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-30893f0c-8466-43c4-b33e-bdb9514adc89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30893f0c-8466-43c4-b33e-bdb9514adc89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f4e33c5-4716-499a-8160-11488170fc94' class='xr-var-data-in' type='checkbox'><label for='data-4f4e33c5-4716-499a-8160-11488170fc94' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1664a930-abf2-4d8b-a193-28cc22f32a9d' class='xr-section-summary-in' type='checkbox'  ><label for='section-1664a930-abf2-4d8b-a193-28cc22f32a9d' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-62c002e2-bc65-49be-9520-84de9fd7463b' class='xr-index-data-in' type='checkbox'/><label for='index-62c002e2-bc65-49be-9520-84de9fd7463b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,  0.125,   0.25,  0.375,    0.5,  0.625,   0.75,  0.875,    1.0,\n",
       "        1.125,   1.25,  1.375,    1.5,  1.625,   1.75,  1.875,    2.0,  2.125,\n",
       "         2.25,  2.375,    2.5,  2.625,   2.75,  2.875,    3.0,  3.125,   3.25,\n",
       "        3.375,    3.5,  3.625,   3.75,  3.875,    4.0,  4.125,   4.25,  4.375,\n",
       "          4.5,  4.625,   4.75,  4.875,    5.0,  5.125,   5.25,  5.375,    5.5,\n",
       "        5.625,   5.75,  5.875,    6.0,  6.125,   6.25,  6.375,    6.5,  6.625,\n",
       "         6.75,  6.875,    7.0,  7.125,   7.25,  7.375,    7.5,  7.625,   7.75,\n",
       "        7.875,    8.0,  8.125,   8.25,  8.375,    8.5,  8.625,   8.75,  8.875,\n",
       "          9.0,  9.125,   9.25,  9.375,    9.5,  9.625,   9.75,  9.875,   10.0,\n",
       "       10.125,  10.25, 10.375,   10.5, 10.625,  10.75, 10.875,   11.0, 11.125,\n",
       "        11.25, 11.375,   11.5, 11.625,  11.75, 11.875,   12.0, 12.125,  12.25,\n",
       "       12.375],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>channel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-71085e1d-3557-4c25-92fb-cd78fa66561d' class='xr-index-data-in' type='checkbox'/><label for='index-71085e1d-3557-4c25-92fb-cd78fa66561d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;S1D1&#x27;], dtype=&#x27;object&#x27;, name=&#x27;channel&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2f2e8ef3-904c-4f14-95d6-20e8e6c097a4' class='xr-index-data-in' type='checkbox'/><label for='index-2f2e8ef3-904c-4f14-95d6-20e8e6c097a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7f86734-fd06-4a96-b2c1-caa0e783ec05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7f86734-fd06-4a96-b2c1-caa0e783ec05' 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.DataArray (time: 100, channel: 1, chromo: 2)> Size: 2kB\n",
       "[µM] 0.5818 0.4453 0.458 0.5398 0.9459 ... 0.06786 0.2011 0.9574 0.4412 0.6611\n",
       "Coordinates:\n",
       "  * time     (time) float64 800B 0.0 0.125 0.25 0.375 ... 12.0 12.12 12.25 12.38\n",
       "    samples  (time) int64 800B 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99\n",
       "  * channel  (channel) <U4 16B 'S1D1'\n",
       "  * chromo   (chromo) <U3 24B 'HbO' 'HbR'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# dummy time series\n",
    "fs = 8.0\n",
    "ts = cdc.build_timeseries(\n",
    "    np.random.random((100, 1, 2)),\n",
    "    dims=[\"time\", \"channel\", \"chromo\"],\n",
    "    time=np.arange(100) / fs,\n",
    "    channel=[\"S1D1\"],\n",
    "    value_units=units.uM,\n",
    "    time_units=units.s,\n",
    "    other_coords={'chromo' : [\"HbO\", \"HbR\"]}\n",
    ")\n",
    "display(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:01.883445Z",
     "iopub.status.busy": "2025-04-14T12:56:01.883259Z",
     "iopub.status.idle": "2025-04-14T12:56:02.095971Z",
     "shell.execute_reply": "2025-04-14T12:56:02.095416Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fdf04757490>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.GaussianKernels(\n",
    "    t_pre=5 * units.s,\n",
    "    t_post=30 * units.s,\n",
    "    t_delta=3 * units.s,\n",
    "    t_std=3 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    p.plot(hrf.time, hrf[:, i_comp], label=comp)\n",
    "\n",
    "p.axvline(-5, c=\"r\", ls=\":\")\n",
    "p.axvline(30, c=\"r\", ls=\":\")\n",
    "p.legend(ncols=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.098211Z",
     "iopub.status.busy": "2025-04-14T12:56:02.097837Z",
     "iopub.status.idle": "2025-04-14T12:56:02.244272Z",
     "shell.execute_reply": "2025-04-14T12:56:02.243760Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde9017ba10>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.GaussianKernelsWithTails(\n",
    "    t_pre=5 * units.s,\n",
    "    t_post=30 * units.s,\n",
    "    t_delta=3 * units.s,\n",
    "    t_std=3 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    p.plot(hrf.time, hrf[:, i_comp], label=comp)\n",
    "p.axvline(-5, c=\"r\", ls=\":\")\n",
    "p.axvline(30, c=\"r\", ls=\":\")\n",
    "p.legend(ncols=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.246277Z",
     "iopub.status.busy": "2025-04-14T12:56:02.246116Z",
     "iopub.status.idle": "2025-04-14T12:56:02.358725Z",
     "shell.execute_reply": "2025-04-14T12:56:02.358184Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\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.DataArray (time: 107, component: 1, chromo: 2)&gt; Size: 2kB\n",
       "0.0 0.0 0.004711 0.0 0.01875 ... 2.533e-07 3.574e-06 1.789e-07 2.601e-06\n",
       "Coordinates:\n",
       "  * time       (time) float64 856B 0.0 0.125 0.25 0.375 ... 13.0 13.12 13.25\n",
       "  * chromo     (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;\n",
       "  * component  (component) &lt;U5 20B &#x27;gamma&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 107</li><li><span class='xr-has-index'>component</span>: 1</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-aa9e2dad-3668-4a7d-b710-76682af21039' class='xr-array-in' type='checkbox' ><label for='section-aa9e2dad-3668-4a7d-b710-76682af21039' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.004711 0.0 ... 2.533e-07 3.574e-06 1.789e-07 2.601e-06</span></div><div class='xr-array-data'><pre>array([[[0.00000000e+00, 0.00000000e+00]],\n",
       "\n",
       "       [[4.71105327e-03, 0.00000000e+00]],\n",
       "\n",
       "       [[1.87463213e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[4.18146684e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[7.34392521e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[1.12969816e-01, 0.00000000e+00]],\n",
       "\n",
       "       [[1.59599341e-01, 0.00000000e+00]],\n",
       "\n",
       "       [[2.12384534e-01, 0.00000000e+00]],\n",
       "\n",
       "       [[2.70269495e-01, 0.00000000e+00]],\n",
       "\n",
       "       [[3.32111838e-01, 4.71105327e-03]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[3.57425016e-06, 3.98427129e-05]],\n",
       "\n",
       "       [[2.60055984e-06, 2.98600730e-05]],\n",
       "\n",
       "       [[1.88516924e-06, 2.22955208e-05]],\n",
       "\n",
       "       [[1.36156144e-06, 1.65856126e-05]],\n",
       "\n",
       "       [[9.79781674e-07, 1.22923471e-05]],\n",
       "\n",
       "       [[7.02470778e-07, 9.07673625e-06]],\n",
       "\n",
       "       [[5.01805892e-07, 6.67756836e-06]],\n",
       "\n",
       "       [[3.57152263e-07, 4.89443713e-06]],\n",
       "\n",
       "       [[2.53269433e-07, 3.57425016e-06]],\n",
       "\n",
       "       [[1.78947402e-07, 2.60055984e-06]]])</pre></div></div></li><li class='xr-section-item'><input id='section-b017d41c-077f-433d-a81a-ad3d03438eee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b017d41c-077f-433d-a81a-ad3d03438eee' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125 0.25 ... 13.0 13.12 13.25</div><input id='attrs-44c119e2-7847-40a9-b41f-cb5ef039a80c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44c119e2-7847-40a9-b41f-cb5ef039a80c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70194e43-fafc-43d7-81aa-514e540f2e86' class='xr-var-data-in' type='checkbox'><label for='data-70194e43-fafc-43d7-81aa-514e540f2e86' 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>second</dd></dl></div><div class='xr-var-data'><pre>array([ 0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,  1.   ,\n",
       "        1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875,  2.   ,  2.125,\n",
       "        2.25 ,  2.375,  2.5  ,  2.625,  2.75 ,  2.875,  3.   ,  3.125,  3.25 ,\n",
       "        3.375,  3.5  ,  3.625,  3.75 ,  3.875,  4.   ,  4.125,  4.25 ,  4.375,\n",
       "        4.5  ,  4.625,  4.75 ,  4.875,  5.   ,  5.125,  5.25 ,  5.375,  5.5  ,\n",
       "        5.625,  5.75 ,  5.875,  6.   ,  6.125,  6.25 ,  6.375,  6.5  ,  6.625,\n",
       "        6.75 ,  6.875,  7.   ,  7.125,  7.25 ,  7.375,  7.5  ,  7.625,  7.75 ,\n",
       "        7.875,  8.   ,  8.125,  8.25 ,  8.375,  8.5  ,  8.625,  8.75 ,  8.875,\n",
       "        9.   ,  9.125,  9.25 ,  9.375,  9.5  ,  9.625,  9.75 ,  9.875, 10.   ,\n",
       "       10.125, 10.25 , 10.375, 10.5  , 10.625, 10.75 , 10.875, 11.   , 11.125,\n",
       "       11.25 , 11.375, 11.5  , 11.625, 11.75 , 11.875, 12.   , 12.125, 12.25 ,\n",
       "       12.375, 12.5  , 12.625, 12.75 , 12.875, 13.   , 13.125, 13.25 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-acd5e52d-8d96-493a-88f1-d0c4e6616acc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acd5e52d-8d96-493a-88f1-d0c4e6616acc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59ebcfa1-697c-4b4c-9371-72617fa03157' class='xr-var-data-in' type='checkbox'><label for='data-59ebcfa1-697c-4b4c-9371-72617fa03157' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;gamma&#x27;</div><input id='attrs-596b4dbb-4f6f-4055-995c-d4974f80e8e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-596b4dbb-4f6f-4055-995c-d4974f80e8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ad8a02-dadb-45f8-8fd3-fb9f2df285b5' class='xr-var-data-in' type='checkbox'><label for='data-38ad8a02-dadb-45f8-8fd3-fb9f2df285b5' 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;gamma&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45ef0998-c870-4b24-b0fd-27a5ddacc673' class='xr-section-summary-in' type='checkbox'  ><label for='section-45ef0998-c870-4b24-b0fd-27a5ddacc673' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1ddd8098-b7f4-4f2d-8d19-066a7449c6fd' class='xr-index-data-in' type='checkbox'/><label for='index-1ddd8098-b7f4-4f2d-8d19-066a7449c6fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,  0.125,   0.25,  0.375,    0.5,  0.625,   0.75,  0.875,    1.0,\n",
       "        1.125,\n",
       "       ...\n",
       "       12.125,  12.25, 12.375,   12.5, 12.625,  12.75, 12.875,   13.0, 13.125,\n",
       "        13.25],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=107))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-31e8fa44-0232-4025-b2ba-b3c6f579274f' class='xr-index-data-in' type='checkbox'/><label for='index-31e8fa44-0232-4025-b2ba-b3c6f579274f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-80611562-f3d5-4633-93b7-d989b67c41b8' class='xr-index-data-in' type='checkbox'/><label for='index-80611562-f3d5-4633-93b7-d989b67c41b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;gamma&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a6c7e9a-002d-4c1f-9a4b-ee7a2124acc7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a6c7e9a-002d-4c1f-9a4b-ee7a2124acc7' 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.DataArray (time: 107, component: 1, chromo: 2)> Size: 2kB\n",
       "0.0 0.0 0.004711 0.0 0.01875 ... 2.533e-07 3.574e-06 1.789e-07 2.601e-06\n",
       "Coordinates:\n",
       "  * time       (time) float64 856B 0.0 0.125 0.25 0.375 ... 13.0 13.12 13.25\n",
       "  * chromo     (chromo) <U3 24B 'HbO' 'HbR'\n",
       "  * component  (component) <U5 20B 'gamma'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde8ef897d0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.Gamma(\n",
    "    tau={\"HbO\": 0 * units.s, \"HbR\": 1 * units.s},\n",
    "    sigma=3 * units.s,\n",
    "    T=0 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "display(hrf)\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    for i_chromo, chromo in enumerate(hrf.chromo.values):\n",
    "        p.plot(hrf.time, hrf[:, i_comp, i_chromo], label=f\"{comp} {chromo}\")\n",
    "\n",
    "p.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.360964Z",
     "iopub.status.busy": "2025-04-14T12:56:02.360546Z",
     "iopub.status.idle": "2025-04-14T12:56:02.475291Z",
     "shell.execute_reply": "2025-04-14T12:56:02.474826Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\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.DataArray (time: 114, component: 1, chromo: 2)&gt; Size: 2kB\n",
       "0.0 0.0 0.0005512 0.0 0.00273 ... 6.285e-09 4.08e-07 3.599e-09 2.491e-07\n",
       "Coordinates:\n",
       "  * time       (time) float64 912B 0.0 0.125 0.25 0.375 ... 13.88 14.0 14.12\n",
       "  * chromo     (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;\n",
       "  * component  (component) &lt;U5 20B &#x27;gamma&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 114</li><li><span class='xr-has-index'>component</span>: 1</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-32476749-6e35-4347-909c-4cad1c6b30b2' class='xr-array-in' type='checkbox' ><label for='section-32476749-6e35-4347-909c-4cad1c6b30b2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0005512 0.0 ... 6.285e-09 4.08e-07 3.599e-09 2.491e-07</span></div><div class='xr-array-data'><pre>array([[[0.00000000e+00, 0.00000000e+00]],\n",
       "\n",
       "       [[5.51180076e-04, 0.00000000e+00]],\n",
       "\n",
       "       [[2.73021461e-03, 0.00000000e+00]],\n",
       "\n",
       "       [[7.53821304e-03, 0.00000000e+00]],\n",
       "\n",
       "       [[1.58552101e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[2.84015894e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[4.57085104e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[6.80987827e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[9.56789138e-02, 0.00000000e+00]],\n",
       "\n",
       "       [[1.28342322e-01, 5.51180076e-04]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[4.08000913e-07, 1.58512756e-05]],\n",
       "\n",
       "       [[2.49050643e-07, 1.03186411e-05]],\n",
       "\n",
       "       [[1.50811220e-07, 6.66315582e-06]],\n",
       "\n",
       "       [[9.05943776e-08, 4.26814809e-06]],\n",
       "\n",
       "       [[5.39874131e-08, 2.71208815e-06]],\n",
       "\n",
       "       [[3.19160747e-08, 1.70952557e-06]],\n",
       "\n",
       "       [[1.87177674e-08, 1.06895015e-06]],\n",
       "\n",
       "       [[1.08900057e-08, 6.63058479e-07]],\n",
       "\n",
       "       [[6.28540788e-09, 4.08000913e-07]],\n",
       "\n",
       "       [[3.59891727e-09, 2.49050643e-07]]])</pre></div></div></li><li class='xr-section-item'><input id='section-8cbe574c-aad7-443a-bfdd-72df706dd8d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8cbe574c-aad7-443a-bfdd-72df706dd8d8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125 0.25 ... 13.88 14.0 14.12</div><input id='attrs-967eff1a-ae22-421c-b71a-42d410e77f79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-967eff1a-ae22-421c-b71a-42d410e77f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d62bee7-30a5-42d5-92a7-9aca1e6ec98a' class='xr-var-data-in' type='checkbox'><label for='data-6d62bee7-30a5-42d5-92a7-9aca1e6ec98a' 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>second</dd></dl></div><div class='xr-var-data'><pre>array([ 0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,  1.   ,\n",
       "        1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875,  2.   ,  2.125,\n",
       "        2.25 ,  2.375,  2.5  ,  2.625,  2.75 ,  2.875,  3.   ,  3.125,  3.25 ,\n",
       "        3.375,  3.5  ,  3.625,  3.75 ,  3.875,  4.   ,  4.125,  4.25 ,  4.375,\n",
       "        4.5  ,  4.625,  4.75 ,  4.875,  5.   ,  5.125,  5.25 ,  5.375,  5.5  ,\n",
       "        5.625,  5.75 ,  5.875,  6.   ,  6.125,  6.25 ,  6.375,  6.5  ,  6.625,\n",
       "        6.75 ,  6.875,  7.   ,  7.125,  7.25 ,  7.375,  7.5  ,  7.625,  7.75 ,\n",
       "        7.875,  8.   ,  8.125,  8.25 ,  8.375,  8.5  ,  8.625,  8.75 ,  8.875,\n",
       "        9.   ,  9.125,  9.25 ,  9.375,  9.5  ,  9.625,  9.75 ,  9.875, 10.   ,\n",
       "       10.125, 10.25 , 10.375, 10.5  , 10.625, 10.75 , 10.875, 11.   , 11.125,\n",
       "       11.25 , 11.375, 11.5  , 11.625, 11.75 , 11.875, 12.   , 12.125, 12.25 ,\n",
       "       12.375, 12.5  , 12.625, 12.75 , 12.875, 13.   , 13.125, 13.25 , 13.375,\n",
       "       13.5  , 13.625, 13.75 , 13.875, 14.   , 14.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-6105f52e-4a2f-40cd-99d1-4833f72ea3ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6105f52e-4a2f-40cd-99d1-4833f72ea3ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3118ce87-b82b-4188-a4a4-6a6cd67dc2c6' class='xr-var-data-in' type='checkbox'><label for='data-3118ce87-b82b-4188-a4a4-6a6cd67dc2c6' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;gamma&#x27;</div><input id='attrs-1637ba73-bddc-4778-b86c-5f2610163667' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1637ba73-bddc-4778-b86c-5f2610163667' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15808eb6-6db2-4ae7-a3db-294e2c755a2d' class='xr-var-data-in' type='checkbox'><label for='data-15808eb6-6db2-4ae7-a3db-294e2c755a2d' 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;gamma&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c32f8646-57aa-45e6-b5a1-4bca3c4bdff2' class='xr-section-summary-in' type='checkbox'  ><label for='section-c32f8646-57aa-45e6-b5a1-4bca3c4bdff2' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-baadac10-f78c-4b04-abe8-2f78b5dc908e' class='xr-index-data-in' type='checkbox'/><label for='index-baadac10-f78c-4b04-abe8-2f78b5dc908e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,  0.125,   0.25,  0.375,    0.5,  0.625,   0.75,  0.875,    1.0,\n",
       "        1.125,\n",
       "       ...\n",
       "         13.0, 13.125,  13.25, 13.375,   13.5, 13.625,  13.75, 13.875,   14.0,\n",
       "       14.125],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=114))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-683efd33-928a-4f45-a4c3-2441b65f7f6d' class='xr-index-data-in' type='checkbox'/><label for='index-683efd33-928a-4f45-a4c3-2441b65f7f6d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0bd0f6c-15ec-4ca7-a370-0aab638fe55d' class='xr-index-data-in' type='checkbox'/><label for='index-e0bd0f6c-15ec-4ca7-a370-0aab638fe55d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;gamma&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe68c43b-e61e-43ff-b678-63e05469e147' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe68c43b-e61e-43ff-b678-63e05469e147' 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.DataArray (time: 114, component: 1, chromo: 2)> Size: 2kB\n",
       "0.0 0.0 0.0005512 0.0 0.00273 ... 6.285e-09 4.08e-07 3.599e-09 2.491e-07\n",
       "Coordinates:\n",
       "  * time       (time) float64 912B 0.0 0.125 0.25 0.375 ... 13.88 14.0 14.12\n",
       "  * chromo     (chromo) <U3 24B 'HbO' 'HbR'\n",
       "  * component  (component) <U5 20B 'gamma'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde8ef8a1d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.Gamma(\n",
    "    tau={\"HbO\": 0 * units.s, \"HbR\": 1 * units.s},\n",
    "    sigma=2 * units.s,\n",
    "    T=5 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "display(hrf)\n",
    "\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    for i_chromo, chromo in enumerate(hrf.chromo.values):\n",
    "        p.plot(hrf.time, hrf[:, i_comp, i_chromo], label=f\"{comp} {chromo}\")\n",
    "\n",
    "p.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.477279Z",
     "iopub.status.busy": "2025-04-14T12:56:02.477124Z",
     "iopub.status.idle": "2025-04-14T12:56:02.605009Z",
     "shell.execute_reply": "2025-04-14T12:56:02.604492Z"
    },
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
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       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\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.DataArray (time: 121, component: 2, chromo: 2)&gt; Size: 4kB\n",
       "0.0 0.0 0.0 0.0 0.0 0.0 ... -7.624e-06 3.086e-07 3.086e-07 -2.978e-06 -2.978e-06\n",
       "Coordinates:\n",
       "  * time       (time) float64 968B 0.0 0.125 0.25 0.375 ... 14.75 14.88 15.0\n",
       "  * chromo     (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;\n",
       "  * component  (component) &lt;U11 88B &#x27;gamma&#x27; &#x27;gamma_deriv&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 121</li><li><span class='xr-has-index'>component</span>: 2</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5e2a96db-00c2-4f68-9c44-1f93a865eb22' class='xr-array-in' type='checkbox' ><label for='section-5e2a96db-00c2-4f68-9c44-1f93a865eb22' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 ... 3.086e-07 3.086e-07 -2.978e-06 -2.978e-06</span></div><div class='xr-array-data'><pre>array([[[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "\n",
       "       [[ 0.00000000e+00,  0.00000000e+00],\n",
       "        [ 0.00000000e+00,  0.00000000e+00]],\n",
       "...\n",
       "       [[ 6.53188954e-05,  6.53188954e-05],\n",
       "        [-5.06985848e-04, -5.06985848e-04]],\n",
       "\n",
       "       [[ 2.90063210e-05,  2.90063210e-05],\n",
       "        [-2.34308641e-04, -2.34308641e-04]],\n",
       "\n",
       "       [[ 1.24705765e-05,  1.24705765e-05],\n",
       "        [-1.04670697e-04, -1.04670697e-04]],\n",
       "\n",
       "       [[ 5.19093214e-06,  5.19093214e-06],\n",
       "        [-4.52049192e-05, -4.52049192e-05]],\n",
       "\n",
       "       [[ 2.09214709e-06,  2.09214709e-06],\n",
       "        [-1.88773725e-05, -1.88773725e-05]],\n",
       "\n",
       "       [[ 8.16485726e-07,  8.16485726e-07],\n",
       "        [-7.62354981e-06, -7.62354981e-06]],\n",
       "\n",
       "       [[ 3.08556339e-07,  3.08556339e-07],\n",
       "        [-2.97777118e-06, -2.97777118e-06]]])</pre></div></div></li><li class='xr-section-item'><input id='section-97a2b69b-0485-44e6-a098-775b5ad357f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97a2b69b-0485-44e6-a098-775b5ad357f1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125 0.25 ... 14.75 14.88 15.0</div><input id='attrs-7e90ac30-f62d-4c5a-ac57-ba81ea9bad70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e90ac30-f62d-4c5a-ac57-ba81ea9bad70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5471d365-3d0e-4aed-927c-94cd6dba976e' class='xr-var-data-in' type='checkbox'><label for='data-5471d365-3d0e-4aed-927c-94cd6dba976e' 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>second</dd></dl></div><div class='xr-var-data'><pre>array([ 0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,  1.   ,\n",
       "        1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875,  2.   ,  2.125,\n",
       "        2.25 ,  2.375,  2.5  ,  2.625,  2.75 ,  2.875,  3.   ,  3.125,  3.25 ,\n",
       "        3.375,  3.5  ,  3.625,  3.75 ,  3.875,  4.   ,  4.125,  4.25 ,  4.375,\n",
       "        4.5  ,  4.625,  4.75 ,  4.875,  5.   ,  5.125,  5.25 ,  5.375,  5.5  ,\n",
       "        5.625,  5.75 ,  5.875,  6.   ,  6.125,  6.25 ,  6.375,  6.5  ,  6.625,\n",
       "        6.75 ,  6.875,  7.   ,  7.125,  7.25 ,  7.375,  7.5  ,  7.625,  7.75 ,\n",
       "        7.875,  8.   ,  8.125,  8.25 ,  8.375,  8.5  ,  8.625,  8.75 ,  8.875,\n",
       "        9.   ,  9.125,  9.25 ,  9.375,  9.5  ,  9.625,  9.75 ,  9.875, 10.   ,\n",
       "       10.125, 10.25 , 10.375, 10.5  , 10.625, 10.75 , 10.875, 11.   , 11.125,\n",
       "       11.25 , 11.375, 11.5  , 11.625, 11.75 , 11.875, 12.   , 12.125, 12.25 ,\n",
       "       12.375, 12.5  , 12.625, 12.75 , 12.875, 13.   , 13.125, 13.25 , 13.375,\n",
       "       13.5  , 13.625, 13.75 , 13.875, 14.   , 14.125, 14.25 , 14.375, 14.5  ,\n",
       "       14.625, 14.75 , 14.875, 15.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-2c9a812e-d463-4c94-95b4-eff34fde9d5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c9a812e-d463-4c94-95b4-eff34fde9d5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cbfa4da-6327-4f8c-8b47-caf046dbadc3' class='xr-var-data-in' type='checkbox'><label for='data-8cbfa4da-6327-4f8c-8b47-caf046dbadc3' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;gamma&#x27; &#x27;gamma_deriv&#x27;</div><input id='attrs-a1efba05-f3f6-4382-98eb-09da7da11e08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1efba05-f3f6-4382-98eb-09da7da11e08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f96bc5-532f-4170-8e05-9a964826d72c' class='xr-var-data-in' type='checkbox'><label for='data-a5f96bc5-532f-4170-8e05-9a964826d72c' 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;gamma&#x27;, &#x27;gamma_deriv&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb9b99d1-d28a-4364-aed9-3b11cd3ccf0a' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb9b99d1-d28a-4364-aed9-3b11cd3ccf0a' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1120ead1-a595-443a-97f4-49a426316f23' class='xr-index-data-in' type='checkbox'/><label for='index-1120ead1-a595-443a-97f4-49a426316f23' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,  0.125,   0.25,  0.375,    0.5,  0.625,   0.75,  0.875,    1.0,\n",
       "        1.125,\n",
       "       ...\n",
       "       13.875,   14.0, 14.125,  14.25, 14.375,   14.5, 14.625,  14.75, 14.875,\n",
       "         15.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;, length=121))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70713bd6-e860-4111-b678-140936f38b50' class='xr-index-data-in' type='checkbox'/><label for='index-70713bd6-e860-4111-b678-140936f38b50' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ede7c598-1419-48e5-a9ef-26efb8b3c98e' class='xr-index-data-in' type='checkbox'/><label for='index-ede7c598-1419-48e5-a9ef-26efb8b3c98e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;gamma&#x27;, &#x27;gamma_deriv&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e577ccb3-b401-429b-a343-6629fb735c62' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e577ccb3-b401-429b-a343-6629fb735c62' 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.DataArray (time: 121, component: 2, chromo: 2)> Size: 4kB\n",
       "0.0 0.0 0.0 0.0 0.0 0.0 ... -7.624e-06 3.086e-07 3.086e-07 -2.978e-06 -2.978e-06\n",
       "Coordinates:\n",
       "  * time       (time) float64 968B 0.0 0.125 0.25 0.375 ... 14.75 14.88 15.0\n",
       "  * chromo     (chromo) <U3 24B 'HbO' 'HbR'\n",
       "  * component  (component) <U11 88B 'gamma' 'gamma_deriv'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde8efff550>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.GammaDeriv(\n",
    "    tau=1 * units.s,\n",
    "    sigma=1 * units.s,\n",
    "    T=10 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "display(hrf)\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    for i_chromo, chromo in enumerate([\"HbO\"]):\n",
    "        p.plot(hrf.time, hrf[:, i_comp, i_chromo], label=f\"{comp} {chromo}\")\n",
    "\n",
    "p.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.607148Z",
     "iopub.status.busy": "2025-04-14T12:56:02.606842Z",
     "iopub.status.idle": "2025-04-14T12:56:02.712984Z",
     "shell.execute_reply": "2025-04-14T12:56:02.712472Z"
    }
   },
   "outputs": [
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\n",
       ".xr-icon-database,\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 31, component: 1, chromo: 2)&gt; Size: 496B\n",
       "0.0 0.0 0.407 0.407 0.6809 0.6809 ... 0.0918 0.07953 0.07953 0.06882 0.06882\n",
       "Coordinates:\n",
       "  * time       (time) float64 248B 0.0 0.125 0.25 0.375 ... 3.375 3.5 3.625 3.75\n",
       "  * chromo     (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;\n",
       "  * component  (component) &lt;U10 40B &#x27;afni_gamma&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 31</li><li><span class='xr-has-index'>component</span>: 1</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a7a6ea5c-2422-47f6-9d4e-96eb7c1052c8' class='xr-array-in' type='checkbox' ><label for='section-a7a6ea5c-2422-47f6-9d4e-96eb7c1052c8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.407 0.407 0.6809 ... 0.0918 0.07953 0.07953 0.06882 0.06882</span></div><div class='xr-array-data'><pre>array([[[0.        , 0.        ]],\n",
       "\n",
       "       [[0.40701619, 0.40701619]],\n",
       "\n",
       "       [[0.68090902, 0.68090902]],\n",
       "\n",
       "       [[0.85433414, 0.85433414]],\n",
       "\n",
       "       [[0.95282669, 0.95282669]],\n",
       "\n",
       "       [[0.99625689, 0.99625689]],\n",
       "\n",
       "       [[1.        , 1.        ]],\n",
       "\n",
       "       [[0.97587503, 0.97587503]],\n",
       "\n",
       "       [[0.93289672, 0.93289672]],\n",
       "\n",
       "       [[0.87787666, 0.87787666]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.2403141 , 0.2403141 ]],\n",
       "\n",
       "       [[0.21058627, 0.21058627]],\n",
       "\n",
       "       [[0.18415462, 0.18415462]],\n",
       "\n",
       "       [[0.16073611, 0.16073611]],\n",
       "\n",
       "       [[0.1400521 , 0.1400521 ]],\n",
       "\n",
       "       [[0.12183453, 0.12183453]],\n",
       "\n",
       "       [[0.10582986, 0.10582986]],\n",
       "\n",
       "       [[0.09180152, 0.09180152]],\n",
       "\n",
       "       [[0.07953115, 0.07953115]],\n",
       "\n",
       "       [[0.06881893, 0.06881893]]])</pre></div></div></li><li class='xr-section-item'><input id='section-5be71a21-06a9-4652-9604-f310681332f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5be71a21-06a9-4652-9604-f310681332f8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125 0.25 ... 3.5 3.625 3.75</div><input id='attrs-a85b9c31-e9ea-496e-ac86-871242fb0b89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a85b9c31-e9ea-496e-ac86-871242fb0b89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1586c10-595a-46ea-b72b-b25c3eac6ae2' class='xr-var-data-in' type='checkbox'><label for='data-d1586c10-595a-46ea-b72b-b25c3eac6ae2' 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>second</dd></dl></div><div class='xr-var-data'><pre>array([0.   , 0.125, 0.25 , 0.375, 0.5  , 0.625, 0.75 , 0.875, 1.   , 1.125,\n",
       "       1.25 , 1.375, 1.5  , 1.625, 1.75 , 1.875, 2.   , 2.125, 2.25 , 2.375,\n",
       "       2.5  , 2.625, 2.75 , 2.875, 3.   , 3.125, 3.25 , 3.375, 3.5  , 3.625,\n",
       "       3.75 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-d9d87b6c-0894-45db-8530-27b863aaf932' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9d87b6c-0894-45db-8530-27b863aaf932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84011ba8-6be0-4197-bc4d-70fb14f95184' class='xr-var-data-in' type='checkbox'><label for='data-84011ba8-6be0-4197-bc4d-70fb14f95184' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;afni_gamma&#x27;</div><input id='attrs-49f7842b-8d48-4518-8923-407aeb6d0292' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49f7842b-8d48-4518-8923-407aeb6d0292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6f22f7-7f7d-4666-a2fa-06030270ffd4' class='xr-var-data-in' type='checkbox'><label for='data-af6f22f7-7f7d-4666-a2fa-06030270ffd4' 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;afni_gamma&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dabb86e7-8472-448e-86bb-1088d38001a9' class='xr-section-summary-in' type='checkbox'  ><label for='section-dabb86e7-8472-448e-86bb-1088d38001a9' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9f99b43-051a-4988-9447-880f012b3e6b' class='xr-index-data-in' type='checkbox'/><label for='index-b9f99b43-051a-4988-9447-880f012b3e6b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0, 0.125,  0.25, 0.375,   0.5, 0.625,  0.75, 0.875,   1.0, 1.125,\n",
       "        1.25, 1.375,   1.5, 1.625,  1.75, 1.875,   2.0, 2.125,  2.25, 2.375,\n",
       "         2.5, 2.625,  2.75, 2.875,   3.0, 3.125,  3.25, 3.375,   3.5, 3.625,\n",
       "        3.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79ea50f2-4204-4b17-8f58-e49002114f7f' class='xr-index-data-in' type='checkbox'/><label for='index-79ea50f2-4204-4b17-8f58-e49002114f7f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-39be0bb7-b770-48b0-87a6-3b26932a36c8' class='xr-index-data-in' type='checkbox'/><label for='index-39be0bb7-b770-48b0-87a6-3b26932a36c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;afni_gamma&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb1b16b4-5ef5-4805-8b28-3d8db55922ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb1b16b4-5ef5-4805-8b28-3d8db55922ee' 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.DataArray (time: 31, component: 1, chromo: 2)> Size: 496B\n",
       "0.0 0.0 0.407 0.407 0.6809 0.6809 ... 0.0918 0.07953 0.07953 0.06882 0.06882\n",
       "Coordinates:\n",
       "  * time       (time) float64 248B 0.0 0.125 0.25 0.375 ... 3.375 3.5 3.625 3.75\n",
       "  * chromo     (chromo) <U3 24B 'HbO' 'HbR'\n",
       "  * component  (component) <U10 40B 'afni_gamma'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde8cb2fa10>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.AFNIGamma(\n",
    "    p=1,\n",
    "    q=0.7 * units.s,\n",
    "    T=0 * units.s,\n",
    ")\n",
    "hrf = basis(ts)\n",
    "display(hrf)\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    for i_chromo, chromo in enumerate([\"HbO\"]):\n",
    "        p.plot(hrf.time, hrf[:, i_comp, i_chromo], label=f\"{comp} {chromo}\")\n",
    "\n",
    "p.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-14T12:56:02.715209Z",
     "iopub.status.busy": "2025-04-14T12:56:02.714824Z",
     "iopub.status.idle": "2025-04-14T12:56:02.817210Z",
     "shell.execute_reply": "2025-04-14T12:56:02.816705Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\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.DataArray (time: 2, component: 1, chromo: 2)&gt; Size: 32B\n",
       "1.0 1.0 0.0 0.0\n",
       "Coordinates:\n",
       "  * time       (time) float64 16B 0.0 0.125\n",
       "  * chromo     (chromo) &lt;U3 24B &#x27;HbO&#x27; &#x27;HbR&#x27;\n",
       "  * component  (component) &lt;U6 24B &#x27;square&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span class='xr-has-index'>component</span>: 1</li><li><span class='xr-has-index'>chromo</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8bfd2bbd-9f51-40c1-a102-ca33b3848798' class='xr-array-in' type='checkbox' ><label for='section-8bfd2bbd-9f51-40c1-a102-ca33b3848798' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 1.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[[1., 1.]],\n",
       "\n",
       "       [[0., 0.]]])</pre></div></div></li><li class='xr-section-item'><input id='section-8d86f9a3-f106-4795-869d-d5d79d81a72d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d86f9a3-f106-4795-869d-d5d79d81a72d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.125</div><input id='attrs-1a00f50f-d08a-417d-a1da-e366789c05ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a00f50f-d08a-417d-a1da-e366789c05ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bc41810-ecf1-4c5b-9adf-6ffe238346f6' class='xr-var-data-in' type='checkbox'><label for='data-6bc41810-ecf1-4c5b-9adf-6ffe238346f6' 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>1 / hertz</dd></dl></div><div class='xr-var-data'><pre>array([0.   , 0.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chromo</span></div><div class='xr-var-dims'>(chromo)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;HbO&#x27; &#x27;HbR&#x27;</div><input id='attrs-7051c10e-0453-475f-812f-6a4d9fc23d32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7051c10e-0453-475f-812f-6a4d9fc23d32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acd94eb1-8ac4-454f-a171-f4ae37047b28' class='xr-var-data-in' type='checkbox'><label for='data-acd94eb1-8ac4-454f-a171-f4ae37047b28' 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;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;square&#x27;</div><input id='attrs-07bf1b30-925a-4e4a-86fa-ae083a6d7fbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07bf1b30-925a-4e4a-86fa-ae083a6d7fbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f84ac5-8ac7-40ea-8220-38f91ae86675' class='xr-var-data-in' type='checkbox'><label for='data-18f84ac5-8ac7-40ea-8220-38f91ae86675' 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;square&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bae9f5f-ad5b-4c62-9762-5b5df6c39ba5' class='xr-section-summary-in' type='checkbox'  ><label for='section-6bae9f5f-ad5b-4c62-9762-5b5df6c39ba5' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-30749323-e275-4d82-8543-4be9031552b6' class='xr-index-data-in' type='checkbox'/><label for='index-30749323-e275-4d82-8543-4be9031552b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0, 0.125], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chromo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0279cdec-0779-45cc-ae94-6f33869f483e' class='xr-index-data-in' type='checkbox'/><label for='index-0279cdec-0779-45cc-ae94-6f33869f483e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;HbO&#x27;, &#x27;HbR&#x27;], dtype=&#x27;object&#x27;, name=&#x27;chromo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da1800a7-9904-42b4-831d-39b6b942455d' class='xr-index-data-in' type='checkbox'/><label for='index-da1800a7-9904-42b4-831d-39b6b942455d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;square&#x27;], dtype=&#x27;object&#x27;, name=&#x27;component&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e88a60fe-5203-46a3-a7d5-b3dbb1a9e025' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e88a60fe-5203-46a3-a7d5-b3dbb1a9e025' 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.DataArray (time: 2, component: 1, chromo: 2)> Size: 32B\n",
       "1.0 1.0 0.0 0.0\n",
       "Coordinates:\n",
       "  * time       (time) float64 16B 0.0 0.125\n",
       "  * chromo     (chromo) <U3 24B 'HbO' 'HbR'\n",
       "  * component  (component) <U6 24B 'square'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fde8dde4290>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basis = bf.DiracDelta()\n",
    "hrf = basis(ts)\n",
    "display(hrf)\n",
    "p.figure()\n",
    "for i_comp, comp in enumerate(hrf.component.values):\n",
    "    for i_chromo, chromo in enumerate([\"HbO\"]):\n",
    "        p.stem(hrf.time, hrf[:, i_comp, i_chromo], label=f\"{comp} {chromo}\")\n",
    "\n",
    "p.legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cedalion_default_3.11",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}