{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart\n",
    "\n",
    "This quickstart tutorial gets you from installing `kiauhoku` to interpolating a model from a grid."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Installation\n",
    "\n",
    "If necessary, uncomment the next cell and run it to install `kiauhoku`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install kiauhoku"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Import `kiauhoku` and load the Dartmouth grid\n",
    "\n",
    "If you don't have the Dartmouth grid downloaded, this will perform a one-time download from Zenodo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import kiauhoku as kh\n",
    "\n",
    "dart = kh.load_eep_grid(\"dartmouth\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Get models from the grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3a. Defined models and tracks\n",
    "\n",
    "The EEP grid contains stellar evolution tracks re-sampled to Equivalent Evolutionary Phases. Each EEP represents a model of dependent parameters—temperature, luminosity, surface gravity, etc.—given the dependent parameters of mass, initial metallicity, and EEP or time step. We can access a Solar-like track by asking for the model at (mass, initial_metallicity) = (1.0, 0.0):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Age (yrs)</th>\n",
       "      <th>Log T</th>\n",
       "      <th>Log g</th>\n",
       "      <th>Log L</th>\n",
       "      <th>Log R</th>\n",
       "      <th>Y_core</th>\n",
       "      <th>Z_core</th>\n",
       "      <th>(Z/X)_surf</th>\n",
       "      <th>L_H</th>\n",
       "      <th>L_He</th>\n",
       "      <th>M_He_core</th>\n",
       "      <th>M_CO_core</th>\n",
       "      <th>X_core</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eep</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>0</th>\n",
       "      <td>1.419635e+03</td>\n",
       "      <td>3.629170</td>\n",
       "      <td>2.417850</td>\n",
       "      <td>1.490190</td>\n",
       "      <td>1.010010</td>\n",
       "      <td>0.274020</td>\n",
       "      <td>0.018850</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>1</th>\n",
       "      <td>2.487531e+03</td>\n",
       "      <td>3.630041</td>\n",
       "      <td>2.438774</td>\n",
       "      <td>1.472737</td>\n",
       "      <td>0.999544</td>\n",
       "      <td>0.274020</td>\n",
       "      <td>0.018850</td>\n",
       "      <td>0.026658</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.071300e-01</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.633402e+03</td>\n",
       "      <td>3.630903</td>\n",
       "      <td>2.459858</td>\n",
       "      <td>1.455103</td>\n",
       "      <td>0.989002</td>\n",
       "      <td>0.274020</td>\n",
       "      <td>0.018850</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>3</th>\n",
       "      <td>4.860224e+03</td>\n",
       "      <td>3.631758</td>\n",
       "      <td>2.481066</td>\n",
       "      <td>1.437324</td>\n",
       "      <td>0.978402</td>\n",
       "      <td>0.274020</td>\n",
       "      <td>0.018850</td>\n",
       "      <td>0.026658</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.071300e-01</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.185908e+03</td>\n",
       "      <td>3.632602</td>\n",
       "      <td>2.502417</td>\n",
       "      <td>1.419349</td>\n",
       "      <td>0.967724</td>\n",
       "      <td>0.274020</td>\n",
       "      <td>0.018850</td>\n",
       "      <td>0.026658</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.071300e-01</td>\n",
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       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>1.218217e+10</td>\n",
       "      <td>3.493549</td>\n",
       "      <td>-0.026360</td>\n",
       "      <td>3.391891</td>\n",
       "      <td>2.232111</td>\n",
       "      <td>0.979210</td>\n",
       "      <td>0.020793</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>2443.097698</td>\n",
       "      <td>2.713918</td>\n",
       "      <td>0.469409</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.861621e-06</td>\n",
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       "      <td>2457.025602</td>\n",
       "      <td>3.488003</td>\n",
       "      <td>0.470038</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.355518e-06</td>\n",
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       "      <td>-0.033710</td>\n",
       "      <td>3.396845</td>\n",
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       "      <td>2470.953506</td>\n",
       "      <td>4.262088</td>\n",
       "      <td>0.470668</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.849415e-06</td>\n",
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       "    <tr>\n",
       "      <th>950</th>\n",
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       "      <td>3.492655</td>\n",
       "      <td>-0.037491</td>\n",
       "      <td>3.399445</td>\n",
       "      <td>2.237673</td>\n",
       "      <td>0.979206</td>\n",
       "      <td>0.020795</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>2485.656718</td>\n",
       "      <td>56.807075</td>\n",
       "      <td>0.471590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.194609e-07</td>\n",
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       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>1.218226e+10</td>\n",
       "      <td>3.492360</td>\n",
       "      <td>-0.041320</td>\n",
       "      <td>3.402100</td>\n",
       "      <td>2.239590</td>\n",
       "      <td>0.979200</td>\n",
       "      <td>0.020796</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>2500.700000</td>\n",
       "      <td>132.060000</td>\n",
       "      <td>0.472640</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.000000e-06</td>\n",
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       "<p>952 rows × 13 columns</p>\n",
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       "        Age (yrs)     Log T     Log g     Log L     Log R    Y_core    Z_core  \\\n",
       "eep                                                                             \n",
       "0    1.419635e+03  3.629170  2.417850  1.490190  1.010010  0.274020  0.018850   \n",
       "1    2.487531e+03  3.630041  2.438774  1.472737  0.999544  0.274020  0.018850   \n",
       "2    3.633402e+03  3.630903  2.459858  1.455103  0.989002  0.274020  0.018850   \n",
       "3    4.860224e+03  3.631758  2.481066  1.437324  0.978402  0.274020  0.018850   \n",
       "4    6.185908e+03  3.632602  2.502417  1.419349  0.967724  0.274020  0.018850   \n",
       "..            ...       ...       ...       ...       ...       ...       ...   \n",
       "947  1.218217e+10  3.493549 -0.026360  3.391891  2.232111  0.979210  0.020793   \n",
       "948  1.218219e+10  3.493250 -0.030035  3.394368  2.233946  0.979210  0.020793   \n",
       "949  1.218221e+10  3.492951 -0.033710  3.396845  2.235781  0.979210  0.020794   \n",
       "950  1.218223e+10  3.492655 -0.037491  3.399445  2.237673  0.979206  0.020795   \n",
       "951  1.218226e+10  3.492360 -0.041320  3.402100  2.239590  0.979200  0.020796   \n",
       "\n",
       "     (Z/X)_surf          L_H        L_He  M_He_core  M_CO_core        X_core  \n",
       "eep                                                                           \n",
       "0      0.026658     0.000000    0.000000   0.000000        0.0  7.071300e-01  \n",
       "1      0.026658     0.000000    0.000000   0.000000        0.0  7.071300e-01  \n",
       "2      0.026658     0.000000    0.000000   0.000000        0.0  7.071300e-01  \n",
       "3      0.026658     0.000000    0.000000   0.000000        0.0  7.071300e-01  \n",
       "4      0.026658     0.000000    0.000000   0.000000        0.0  7.071300e-01  \n",
       "..          ...          ...         ...        ...        ...           ...  \n",
       "947    0.026674  2443.097698    2.713918   0.469409        0.0 -2.861621e-06  \n",
       "948    0.026674  2457.025602    3.488003   0.470038        0.0 -3.355518e-06  \n",
       "949    0.026674  2470.953506    4.262088   0.470668        0.0 -3.849415e-06  \n",
       "950    0.026674  2485.656718   56.807075   0.471590        0.0 -7.194609e-07  \n",
       "951    0.026674  2500.700000  132.060000   0.472640        0.0  4.000000e-06  \n",
       "\n",
       "[952 rows x 13 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dart.loc[1, 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can get a specific time step or EEP by adding an extra indexer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age (yrs)     2.258148e+09\n",
       "Log T         3.758194e+00\n",
       "Log g         4.501619e+00\n",
       "Log L        -7.750308e-02\n",
       "Log R        -3.187953e-02\n",
       "Y_core        4.443106e-01\n",
       "Z_core        1.930241e-02\n",
       "(Z/X)_surf    2.469866e-02\n",
       "L_H           8.369097e-01\n",
       "L_He          0.000000e+00\n",
       "M_He_core     0.000000e+00\n",
       "M_CO_core     0.000000e+00\n",
       "X_core        5.363870e-01\n",
       "Name: (1.0, 0.0, 250), dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "dart.loc[1, 0, 250]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3b. Interpolating models and tracks\n",
    "\n",
    "`kiauhoku` contains tools for interpolating new tracks and models from existing model grids. Do do this, you must either load an existing interpolator or cast an EEP grid to a `StarGridInterpolator`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dart_interp = kh.load_interpolator(\"dartmouth\") # loads from file, or\n",
    "dart_interp = dart.to_interpolator() # creates the interpolator from the model grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <td>3.609757</td>\n",
       "      <td>2.376593</td>\n",
       "      <td>1.331638</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.314888</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.879970e-01</td>\n",
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       "      <th>4</th>\n",
       "      <td>4.674406e+03</td>\n",
       "      <td>3.611266</td>\n",
       "      <td>2.416286</td>\n",
       "      <td>1.298003</td>\n",
       "      <td>0.949723</td>\n",
       "      <td>0.286420</td>\n",
       "      <td>0.025583</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>947</th>\n",
       "      <td>3.427606e+10</td>\n",
       "      <td>3.459313</td>\n",
       "      <td>-0.290026</td>\n",
       "      <td>3.396490</td>\n",
       "      <td>2.302879</td>\n",
       "      <td>0.966712</td>\n",
       "      <td>0.033285</td>\n",
       "      <td>0.034437</td>\n",
       "      <td>2468.977715</td>\n",
       "      <td>2.063772</td>\n",
       "      <td>0.469954</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.876900e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>3.427608e+10</td>\n",
       "      <td>3.458979</td>\n",
       "      <td>-0.293919</td>\n",
       "      <td>3.399049</td>\n",
       "      <td>2.304824</td>\n",
       "      <td>0.966712</td>\n",
       "      <td>0.033286</td>\n",
       "      <td>0.034437</td>\n",
       "      <td>2483.585941</td>\n",
       "      <td>3.708047</td>\n",
       "      <td>0.470642</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.130430e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>949</th>\n",
       "      <td>3.427610e+10</td>\n",
       "      <td>3.458647</td>\n",
       "      <td>-0.297875</td>\n",
       "      <td>3.401675</td>\n",
       "      <td>2.306799</td>\n",
       "      <td>0.966712</td>\n",
       "      <td>0.033287</td>\n",
       "      <td>0.034437</td>\n",
       "      <td>2498.640684</td>\n",
       "      <td>11.196025</td>\n",
       "      <td>0.471376</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.290611e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>3.427612e+10</td>\n",
       "      <td>3.458315</td>\n",
       "      <td>-0.301867</td>\n",
       "      <td>3.404340</td>\n",
       "      <td>2.308792</td>\n",
       "      <td>0.966712</td>\n",
       "      <td>0.033288</td>\n",
       "      <td>0.034437</td>\n",
       "      <td>2513.917624</td>\n",
       "      <td>28.864201</td>\n",
       "      <td>0.472144</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.258629e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>3.427615e+10</td>\n",
       "      <td>3.457985</td>\n",
       "      <td>-0.305937</td>\n",
       "      <td>3.407079</td>\n",
       "      <td>2.310834</td>\n",
       "      <td>0.966712</td>\n",
       "      <td>0.033289</td>\n",
       "      <td>0.034437</td>\n",
       "      <td>2529.530000</td>\n",
       "      <td>171.385000</td>\n",
       "      <td>0.473376</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.100000e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>952 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Age (yrs)     Log T     Log g     Log L     Log R    Y_core    Z_core  \\\n",
       "0    1.137909e+03  3.608212  2.337426  1.364635  0.989153  0.286420  0.025583   \n",
       "1    1.937412e+03  3.608988  2.356955  1.348203  0.979386  0.286420  0.025583   \n",
       "2    2.786553e+03  3.609757  2.376593  1.331638  0.969570  0.286420  0.025583   \n",
       "3    3.700308e+03  3.610515  2.396380  1.314888  0.959674  0.286420  0.025583   \n",
       "4    4.674406e+03  3.611266  2.416286  1.298003  0.949723  0.286420  0.025583   \n",
       "..            ...       ...       ...       ...       ...       ...       ...   \n",
       "947  3.427606e+10  3.459313 -0.290026  3.396490  2.302879  0.966712  0.033285   \n",
       "948  3.427608e+10  3.458979 -0.293919  3.399049  2.304824  0.966712  0.033286   \n",
       "949  3.427610e+10  3.458647 -0.297875  3.401675  2.306799  0.966712  0.033287   \n",
       "950  3.427612e+10  3.458315 -0.301867  3.404340  2.308792  0.966712  0.033288   \n",
       "951  3.427615e+10  3.457985 -0.305937  3.407079  2.310834  0.966712  0.033289   \n",
       "\n",
       "     (Z/X)_surf          L_H        L_He  M_He_core  M_CO_core        X_core  \n",
       "0      0.037186     0.000000    0.000000   0.000000        0.0  6.879970e-01  \n",
       "1      0.037186     0.000000    0.000000   0.000000        0.0  6.879970e-01  \n",
       "2      0.037186     0.000000    0.000000   0.000000        0.0  6.879970e-01  \n",
       "3      0.037186     0.000000    0.000000   0.000000        0.0  6.879970e-01  \n",
       "4      0.037186     0.000000    0.000000   0.000000        0.0  6.879970e-01  \n",
       "..          ...          ...         ...        ...        ...           ...  \n",
       "947    0.034437  2468.977715    2.063772   0.469954        0.0  2.876900e-06  \n",
       "948    0.034437  2483.585941    3.708047   0.470642        0.0  2.130430e-06  \n",
       "949    0.034437  2498.640684   11.196025   0.471376        0.0  1.290611e-06  \n",
       "950    0.034437  2513.917624   28.864201   0.472144        0.0  4.258629e-07  \n",
       "951    0.034437  2529.530000  171.385000   0.473376        0.0 -1.100000e-06  \n",
       "\n",
       "[952 rows x 13 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Interpolate a track at M/Msun = 0.755, [Z/H]_0 = 0.15\n",
    "dart_interp.get_track((0.755, 0.15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, you can interpolate specific EEPs from the grid as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age (yrs)     1.051701e+10\n",
       "Log T         3.667182e+00\n",
       "Log g         4.576931e+00\n",
       "Log L        -6.389981e-01\n",
       "Log R        -1.306025e-01\n",
       "Y_core        5.673465e-01\n",
       "Z_core        2.817389e-02\n",
       "(Z/X)_surf    3.108779e-02\n",
       "L_H           2.306751e-01\n",
       "L_He          0.000000e+00\n",
       "M_He_core     0.000000e+00\n",
       "M_CO_core     0.000000e+00\n",
       "X_core        4.044796e-01\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dart_interp.get_star_eep((0.755, 0.15, 303.3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Summary\n",
    "\n",
    "Congratulations! You've installed `kiauhoku`, loaded a model grid, and interpolated new models from the grid. Try it out with other grids, like `yrec`, `mist`, or `garstec`. For scientific use, you might want to check out the `StarGridInterpolator` fitting and sampling functions `fit_star`, `gridsearch_fit`, and `mcmc_star`. See the documentation and the demo notebooks."
   ]
  }
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