{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/stammler/dustpy/HEAD?labpath=examples%2F2_simple_customization.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Simple Customization\n",
    "\n",
    "If you do not want to run the standard simulation you can easily modify the initial conditions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dustpy import Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = Simulation()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation object has an attribute to set the initial conditions `Simulation.ini`. The attribute is structured in initial conditions for dust, gas, the grid, and the central star. If you call `Simulatio.initialize()`, the simulation object will be filled according the parameters set here. We'll go through all options one by one.\n",
    "\n",
    "**--> All quantities are in cgs units! <--**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(dust=namespace(aIniMax=0.0001,\n",
       "                         allowDriftingParticles=False,\n",
       "                         erosionMassRatio=10.0,\n",
       "                         d2gRatio=0.01,\n",
       "                         distExp=-3.5,\n",
       "                         excavatedMass=1.0,\n",
       "                         fragmentDistribution=-1.8333333333333333,\n",
       "                         rhoMonomer=1.67,\n",
       "                         vFrag=100.0),\n",
       "          gas=namespace(alpha=0.001,\n",
       "                        Mdisk=9.942049353490256e+31,\n",
       "                        mu=3.847030424486999e-24,\n",
       "                        SigmaExp=-1.0,\n",
       "                        SigmaRc=897587224200000.0),\n",
       "          grid=namespace(Nmbpd=7,\n",
       "                         mmin=1e-12,\n",
       "                         mmax=100000.0,\n",
       "                         Nr=100,\n",
       "                         rmin=14959787070000.0,\n",
       "                         rmax=1.495978707e+16),\n",
       "          star=namespace(M=1.988409870698051e+33, R=139140000000.0, T=5772.0))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.ini"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stellar parameters\n",
    "\n",
    "The stellar parameters mainly influence the dynamical time scales and the temperature profile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(M=1.988409870698051e+33, R=139140000000.0, T=5772.0)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.ini.star"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* M\n",
    "\n",
    "Stellar mass, default: $1\\ M_\\odot$  \n",
    "Has influence on the dynamical timescales in the disk.\n",
    "\n",
    "* R\n",
    "\n",
    "Stellar radius, default: $2\\ R_\\odot$  \n",
    "Has influence on the temperature profile in the disk. The default temperature profile is a passively irradiated disk with a constant irradtion angle of 0.05.\n",
    "\n",
    "* T\n",
    "\n",
    "Effective temperature, default: 5772 K  \n",
    "Has influence on the temperature profile in the disk. The default temperature profile is a passively irradiated disk with a constant irradtion angle of 0.05."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid parameters\n",
    "\n",
    "The grid parameters determine the shape of the radial and mass grids. While you can set your own non-standard radial grid (see later), you should under no circumstances meddle with the mass grid, unless you know exactly what you are doing. Please always use the `Simulation.ini.grid` namespace to customize your mass grid. The mass grid has to be strickly logarithmic. Otherwise, the coagulation algorithm will produce wrong results.  \n",
    "**Attentian:** If you changed the mass grid for any reason during the simulation, you have to re-calculate the coagulation parameters in `Simulation.dust.coagulation`.\n",
    "\n",
    "**Note:** The performance of `DustPy` is very sensitive to the mass grid. A finer mass grid slows down the simulation drastically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(Nmbpd=7,\n",
       "          mmin=1e-12,\n",
       "          mmax=100000.0,\n",
       "          Nr=100,\n",
       "          rmin=14959787070000.0,\n",
       "          rmax=1.495978707e+16)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.ini.grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Nmbpd\n",
    "\n",
    "Number of mass bins per mass decade, default: 7  \n",
    "Should be at least 7, see [Drążkowska et al. (2014)](https://doi.org/10.1051/0004-6361/201423708)  \n",
    "This will have a large impact on the accuracy and the computational costs of the simulation.\n",
    "\n",
    "* mmin\n",
    "\n",
    "Minimum particle mass, default: $10^{-12}$ g\n",
    "\n",
    "* mmax\n",
    "\n",
    "Maximum particle mass, default: $10^{5}$ g\n",
    "\n",
    "* Nr\n",
    "\n",
    "Number of radial grid cells, default: 100\n",
    "\n",
    "* rmin\n",
    "\n",
    "Location of inner radial grid boundary, default 1 AU\n",
    "\n",
    "* rmax\n",
    "\n",
    "Location of outer radial grid boundary, default 1000 AU"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gas Parameters\n",
    "\n",
    "The gas parameters define the initial conditions of the gas disk. The standard surface density profile is the self-similar solution of [Lynden-Bell & Pringle (1974)](https://doi.org/10.1093/mnras/168.3.603)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(alpha=0.001,\n",
       "          Mdisk=9.942049353490256e+31,\n",
       "          mu=3.847030424486999e-24,\n",
       "          SigmaExp=-1.0,\n",
       "          SigmaRc=897587224200000.0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.ini.gas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* alpha\n",
    "\n",
    "alpha viscosity parameter, default: $10^{-3}$  \n",
    "see [Shakura & Sunyaev (1973)](http://adsabs.harvard.edu/abs/1973A%26A....24..337S) for details\n",
    "\n",
    "* Mdisk\n",
    "\n",
    "Inital gas disk mass, default: $0.05\\ M_\\odot$\n",
    "\n",
    "* mu\n",
    "\n",
    "Mean molecular weight of the gas, default: $2.3\\ m_\\mathrm{proton}$\n",
    "\n",
    "* SigmaExp\n",
    "\n",
    "Power law exponent of surface density profile, default: -1  \n",
    "see [Lynden-Bell & Pringle (1974)](https://doi.org/10.1093/mnras/168.3.603)\n",
    "\n",
    "* SigmaRc\n",
    "\n",
    "Critical cut-off radius of surface density, default: 30 AU  \n",
    "see [Lynden-Bell & Pringle (1974)](https://doi.org/10.1093/mnras/168.3.603)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dust Parameters\n",
    "\n",
    "The dust parameters define the initial conditions of the dust disk and the basic collisional behavior of the dust particles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(aIniMax=0.0001,\n",
       "          allowDriftingParticles=False,\n",
       "          erosionMassRatio=10.0,\n",
       "          d2gRatio=0.01,\n",
       "          distExp=-3.5,\n",
       "          excavatedMass=1.0,\n",
       "          fragmentDistribution=-1.8333333333333333,\n",
       "          rhoMonomer=1.67,\n",
       "          vFrag=100.0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.ini.dust"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* aIniMax\n",
    "\n",
    "Maximum particle size that will be filled initially, default: 1 µm\n",
    "\n",
    "* allowDriftingParticles\n",
    "\n",
    "If `True` initially drifting particles will not be removed, default: `False`  \n",
    "Dust particles in the disk drift inwards more rapidly with increasing Stokes number. In the outer disk the gas surface density is low and therefore even the small initial particles can have large Stokes numbers causing them to drift already from the beginning on. This causes a visible particle wave in the simulation. By setting this parameter to `False`, these drifting particles will be removed.\n",
    "\n",
    "* erosionMassRatio\n",
    "\n",
    "If the mass ratio of colliding particles is below this ratio, both particles fully fragment, default: 10  \n",
    "In the standard model three things can happen when particles collide: they can stick together forming a larger particle, they can both fully fragment, or the smaller collision partner can fully fragment, chipping off some mass of the larger collision partner. The latter is called erosion. This parameter defines the threshold between full fragmentation and erosion.\n",
    "\n",
    "* d2gRatio\n",
    "\n",
    "Initial dust-to-gas ratio, default: $10^{-2}$\n",
    "\n",
    "* distExp\n",
    "\n",
    "Inital size distribution of particles, default: -7/2  \n",
    "The particles will initially have a size distribution of $\\large n\\left(a\\right) \\propto a^\\mathrm{distExp}$ up to a maximum particle size of `Simulation.ini.dust.aIniMax`. The standard model uses the so-called MRN distribution of interstellar grains as initial condition. See [Mathis et al. (1977)](https://doi.org/10.1086/155591).\n",
    "\n",
    "* excavatedMass\n",
    "\n",
    "Excavated mass from larger particle in units of smaller particle mass, default: 1  \n",
    "In a erosive collision event the smaller particle will chip off mass from the larger particle. This parameter determines how much mass will be chipped off.\n",
    "\n",
    "* fragmentDistribution\n",
    "\n",
    "mass distribution of fragments, default: -11/6  \n",
    "Whenever a particle collision produces fragments the fragments will have a mass distribution of $\\large n \\left(m\\right) \\mathrm{d}m \\propto m^\\mathrm{fragmentDistribution} \\mathrm{d}m$. The value used by the standard model is taken from [Dohnanyi (1969)](https://doi.org/10.1029/JB074i010p02531).\n",
    "\n",
    "* rhoMonomer\n",
    "\n",
    "Monomer bulk mass density, default: 1.67 g/cm³  \n",
    "In the standard model all particles will have a filling factor of unity and share therefore this bulk mass density.\n",
    "\n",
    "* vFrag\n",
    "\n",
    "Fragmentation velocity, default 1 m/s.  \n",
    "Particle collisions with a collision velocity that exceeds the fragmentation velocity will result in a fragmenting collision. Either full fragmentation or erosion depending on the mass ratio of the collision partners. Collisions below the fragmentation velocity lead to sticking."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changing the Initial Conditions\n",
    "\n",
    "In this example we want to run a simulation with a more massive disk mass. We can use the constants module of `DustPy`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dustpy import constants as c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim.ini.gas.Mdisk = 0.1 * c.M_sun"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now initialize the simulation as described in the previous section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim.initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changing the Snapshots\n",
    "\n",
    "The standard model runs for 100,000 years and starts writing data files at 1,000 years with 10 files per time decade. In this example we only want to run the simulation for 10,000 years with only 5 snapshots per decade. This can easily be set by modifying `Simulation.t.snapshots`. The starting time has to be included to write outputs for the initial conditions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim.t.snapshots = np.hstack(\n",
    "    [sim.t, np.geomspace(1.e3, 1.e4, num=6) * c.year]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changing the Output Directory\n",
    "\n",
    "By default `DustPy` will protect already existing data files. If we ran the simulation now, an error would be raised, because we have already existing data files in the output directory from the previous chapter.\n",
    "\n",
    "We could either set `Simulation.writer.overwrite` to `True` to overwrite our existing data files or we could change the name of the output directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim.writer.datadir = \"2_data\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation is now ready to go."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "DustPy v1.0.8\n",
      "\n",
      "Documentation: https://stammler.github.io/dustpy/\n",
      "PyPI:          https://pypi.org/project/dustpy/\n",
      "GitHub:        https://github.com/stammler/dustpy/\n",
      "\u001b[94m\n",
      "Please cite Stammler & Birnstiel (2022).\u001b[0m\n",
      "\n",
      "\u001b[93mChecking for mass conservation...\n",
      "\u001b[0m\n",
      "\u001b[93m    - Sticking:\u001b[0m\n",
      "\u001b[0m        max. rel. error: \u001b[92m 2.81e-14\u001b[0m\n",
      "        for particle collision\n",
      "            m[114] =  1.93e+04 g    with\n",
      "            m[116] =  3.73e+04 g\u001b[0m\n",
      "\u001b[93m    - Full fragmentation:\u001b[0m\n",
      "\u001b[0m        max. rel. error: \u001b[92m 6.66e-16\u001b[0m\n",
      "        for particle collision\n",
      "            m[90] =  7.20e+00 g    with\n",
      "            m[95] =  3.73e+01 g\u001b[0m\n",
      "\u001b[93m    - Erosion:\u001b[0m\n",
      "\u001b[0m        max. rel. error: \u001b[92m 1.78e-15\u001b[0m\n",
      "        for particle collision\n",
      "            m[110] =  5.18e+03 g    with\n",
      "            m[118] =  7.20e+04 g\n",
      "\u001b[0m\n",
      "Creating data directory 2_data.\n",
      "Writing file \u001b[94m2_data/data0000.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0001.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0002.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0003.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0004.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0005.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94m2_data/data0006.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94m2_data/frame.dmp\u001b[0m\n",
      "Execution time: \u001b[94m0:01:32\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "sim.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation has now run for 10,000 years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.t / c.year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and we can have a look at the current state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dustpy import plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1575x648.949 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.panel(sim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When calling `Simulation.run()`, `DustPy` will perform a small mass conservation check, by going through all possible collisions and calculating their relative mass error. The limitation here is machine precision. Everything smaller than $10^{-13}$ is still acceptable. If you created your own collision model, that is not compatible with the default sticking-erosion-fragmentation model, you can either ignore the output, or you can overwrite the `Simulation.checkmassconservation()` function that is called by default when calling `Simulation.run()`.\n",
    "\n",
    "See a later chapter for details on coagulation."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dustpy_develop",
   "language": "python",
   "name": "dustpy_develop"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
