{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/stammler/dustpy/HEAD?labpath=examples%2Fexample_planetesimal_formation.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example: Planetesimal Formation\n",
    "\n",
    "This example demonstrates how to add planetesimal formation into `DustPy` models. We follow [Stammler et al. (2019)](https://doi.org/10.3847/2041-8213/ab4423) that showed that planetesimal formation could explain the optical depths observed in dust rings of protoplanetary disks.\n",
    "\n",
    "The method is described in detail in [Schoonenberg et al. (2018)](https://doi.org/10.1051/0004-6361/201834047). Planetesimal formation is triggered as soon as the midplane dust-to-gas ratio exceeds a critical threshold (typically of the order unity). If this threshold value is exceeded a fraction $\\zeta$ of the dust mass per settling time scale of each mass bin $i$ is converted into planetesimals. $\\zeta$ is assumed to be $0.1$.\n",
    "\n",
    "$R^i = \\frac{\\partial}{\\partial t} \\Sigma_\\mathrm{d}^i = -\\frac{\\Sigma_\\mathrm{d}^i}{t_\\mathrm{sett}^i} = -\\zeta\\,\\Sigma_\\mathrm{dust}^i\\,\\mathrm{St}^i\\,\\Omega_\\mathrm{K}$.\n",
    "\n",
    "The negative sum of these rates over all dust species is then the mass that has to be added to the planetesimal surface density.\n",
    "\n",
    "$\\frac{\\partial}{\\partial t} \\Sigma_\\mathrm{plan} = -\\sum\\limits_i R^i$.\n",
    "\n",
    "Since planetesimal formation requires high midplane dust-to-gas ratios which are typically not reached in smooth disks, we have to add a gap to our gas surface density profile. The outer edge of the gap can then trap particles increasing the midplane dust-to-gas ratio. Following [Dullemond et al. (2018)](https://doi.org/10.3847/2041-8213/aaf742) we use the gap profile given by\n",
    "\n",
    "$F = \\exp \\left[ -A\\,\\exp\\left( -\\frac{\\left( r - r_0\\right)^2}{2w^2} \\right) \\right]$,\n",
    "\n",
    "with a gap amplitude $A$, a gap location $r_0$, and a gap width $w$. This gap profile is achievend by increasing the viscosity by the same factor as described in an earlier example about planetary gaps\n",
    "\n",
    "$\\alpha = \\frac{\\alpha_0}{F}$.\n",
    "\n",
    "In addition to that we increase the fragmentation velocity to $10\\,\\mathrm{m/s}$, since larger particles settle easier to the midplane and contribute more to planetesimal formation. Similar effects can be achieved by reducing the viscous $\\alpha$ parameter. But then the overall evolution would be slower.\n",
    "\n",
    "We furthermore increase the critical cut-off radius of the disk to increase the mass reservoir in the outer disk. And we increase the initial disk mass compared to the default model.\n",
    "\n",
    "But first we define our model parameters, such that they can be changed later easily."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:11.605905Z",
     "iopub.status.busy": "2024-06-21T13:37:11.605235Z",
     "iopub.status.idle": "2024-06-21T13:37:12.278160Z",
     "shell.execute_reply": "2024-06-21T13:37:12.277298Z"
    }
   },
   "outputs": [],
   "source": [
    "from dustpy import Simulation\n",
    "import dustpy.constants as c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.283215Z",
     "iopub.status.busy": "2024-06-21T13:37:12.282919Z",
     "iopub.status.idle": "2024-06-21T13:37:12.287330Z",
     "shell.execute_reply": "2024-06-21T13:37:12.286555Z"
    }
   },
   "outputs": [],
   "source": [
    "# Viscous alpha parameter\n",
    "alpha0 = 1.e-3\n",
    "# Fragmentation velocity [cm/s]\n",
    "vfrag = 1000.\n",
    "\n",
    "# Critical disk cut-off radius [cm]\n",
    "Rc = 60. * c.au\n",
    "# Disk mass\n",
    "Mdisk = 0.1 * c.M_sun\n",
    "\n",
    "# Gap location [cm]\n",
    "r0 = 10. * c.au\n",
    "# Gap width [cm]\n",
    "w = 2. * c.au\n",
    "# Gap amplitude\n",
    "A = 2.\n",
    "\n",
    "# Critical dust-to-gas ratio\n",
    "d2g_crit = 1.\n",
    "# Planetesimal formation efficiency\n",
    "zeta = 0.1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before `Simulation.initialize()` we set our desired parameters in the `Simulation.ini` object.  \n",
    "Note that we have to increase the maximum particle mass due to the high fragmentation velocity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.291931Z",
     "iopub.status.busy": "2024-06-21T13:37:12.291703Z",
     "iopub.status.idle": "2024-06-21T13:37:12.297019Z",
     "shell.execute_reply": "2024-06-21T13:37:12.296114Z"
    }
   },
   "outputs": [],
   "source": [
    "sim = Simulation()\n",
    "sim.ini.gas.alpha = alpha0\n",
    "sim.ini.gas.SigmaRc = Rc\n",
    "sim.ini.gas.Mdisk = Mdisk\n",
    "sim.ini.dust.vfrag = vfrag\n",
    "sim.ini.grid.mmax = 1.e8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refining the radial grid\n",
    "\n",
    "In this model we want to increase the radial resolution around the outer gap edge. We use the same method of refining the radial grid as described in earlier examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.301838Z",
     "iopub.status.busy": "2024-06-21T13:37:12.301532Z",
     "iopub.status.idle": "2024-06-21T13:37:12.308713Z",
     "shell.execute_reply": "2024-06-21T13:37:12.307716Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def refinegrid(ri, r0, num=3):\n",
    "    \"\"\"Function to refine the radial grid\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    ri : array\n",
    "        Radial grid\n",
    "    r0 : float\n",
    "        Radial location around which grid should be refined\n",
    "    num : int, option, default : 3\n",
    "        Number of refinement iterations\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    ri : array\n",
    "        New refined radial grid\"\"\"\n",
    "    if num == 0:\n",
    "        return ri\n",
    "    ind = np.argmin(r0 > ri) - 1\n",
    "    indl = ind-num\n",
    "    indr = ind+num+1\n",
    "    ril = ri[:indl]\n",
    "    rir = ri[indr:]\n",
    "    N = (2*num+1)*2\n",
    "    rim = np.empty(N)\n",
    "    for i in range(0, N, 2):\n",
    "        j = ind-num+int(i/2)\n",
    "        rim[i] = ri[j]\n",
    "        rim[i+1] = 0.5*(ri[j]+ri[j+1])\n",
    "    ri = np.concatenate((ril, rim, rir))\n",
    "    return refinegrid(ri, r0, num=num-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the refinement is centered on the outer edge of the gap, where the dust accumulated instead of the gap center."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.313793Z",
     "iopub.status.busy": "2024-06-21T13:37:12.313405Z",
     "iopub.status.idle": "2024-06-21T13:37:12.319632Z",
     "shell.execute_reply": "2024-06-21T13:37:12.318541Z"
    }
   },
   "outputs": [],
   "source": [
    "ri = np.geomspace(1.e0, 1.e3, 100) * c.au\n",
    "sim.grid.ri = refinegrid(ri, r0+3.*w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.325215Z",
     "iopub.status.busy": "2024-06-21T13:37:12.324579Z",
     "iopub.status.idle": "2024-06-21T13:37:12.926371Z",
     "shell.execute_reply": "2024-06-21T13:37:12.925490Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We furthermore let the simulation run until $1\\,\\mathrm{Myr}$ to see an effect in the planetesimals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.931501Z",
     "iopub.status.busy": "2024-06-21T13:37:12.931275Z",
     "iopub.status.idle": "2024-06-21T13:37:12.935578Z",
     "shell.execute_reply": "2024-06-21T13:37:12.934761Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.t.snapshots = np.hstack(\n",
    "    [sim.t, np.geomspace(1.e3, 1.e6, 31) * c.year]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding gap\n",
    "\n",
    "As describe earlier we want to add a gap by changing the $\\alpha$ profile. We simply set the new $\\alpha$ values. Since it is constant in the default model, we do not need to set an updater."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.940160Z",
     "iopub.status.busy": "2024-06-21T13:37:12.939889Z",
     "iopub.status.idle": "2024-06-21T13:37:12.944356Z",
     "shell.execute_reply": "2024-06-21T13:37:12.943474Z"
    }
   },
   "outputs": [],
   "source": [
    "F = np.exp(-A * np.exp(-0.5 * (sim.grid.r - r0)**2 / w**2) )\n",
    "sim.gas.alpha = alpha0 / F"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding planetesimals\n",
    "\n",
    "We add a new group for the planetesimals which contains the planetesimal surface density and the total planetesimal mass in our model. We initialize the field with zeros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.949066Z",
     "iopub.status.busy": "2024-06-21T13:37:12.948754Z",
     "iopub.status.idle": "2024-06-21T13:37:12.953157Z",
     "shell.execute_reply": "2024-06-21T13:37:12.952273Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.addgroup(\"planetesimals\", description=\"Planetesimal quantities\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.957904Z",
     "iopub.status.busy": "2024-06-21T13:37:12.957506Z",
     "iopub.status.idle": "2024-06-21T13:37:12.963222Z",
     "shell.execute_reply": "2024-06-21T13:37:12.962195Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.planetesimals.addfield(\"M\", 0., description=\"Total planetesimal mass [g]\")\n",
    "sim.planetesimals.addfield(\"Sigma\", np.zeros_like(sim.gas.Sigma), description=\"Planetesimal surface density [g/cm²]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:12.968601Z",
     "iopub.status.busy": "2024-06-21T13:37:12.967946Z",
     "iopub.status.idle": "2024-06-21T13:37:12.980743Z",
     "shell.execute_reply": "2024-06-21T13:37:12.979614Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Group (Planetesimal quantities)\n",
       "-------------------------------\n",
       "    M            : Field (Total planetesimal mass [g])\n",
       "    Sigma        : Field (Planetesimal surface density [g/cm²])\n",
       "  -----"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.planetesimals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We firthermore have to write an updater that is calculating the total planetesimal mass from the planetesimal surface densities. We assign this function to the updater of the field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.031377Z",
     "iopub.status.busy": "2024-06-21T13:37:13.030610Z",
     "iopub.status.idle": "2024-06-21T13:37:13.037194Z",
     "shell.execute_reply": "2024-06-21T13:37:13.035947Z"
    }
   },
   "outputs": [],
   "source": [
    "def M_plan(sim):\n",
    "    return (sim.grid.A * sim.planetesimals.Sigma[:]).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.041136Z",
     "iopub.status.busy": "2024-06-21T13:37:13.040455Z",
     "iopub.status.idle": "2024-06-21T13:37:13.046134Z",
     "shell.execute_reply": "2024-06-21T13:37:13.045017Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.planetesimals.M.updater.updater = M_plan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have to create an updater for the planetesimal group, in which we update the total mass of planetesimals, and we have to add the planetesimal group to the updater of the simulation object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.050366Z",
     "iopub.status.busy": "2024-06-21T13:37:13.049699Z",
     "iopub.status.idle": "2024-06-21T13:37:13.056170Z",
     "shell.execute_reply": "2024-06-21T13:37:13.054753Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.planetesimals.updater = [\"M\"]\n",
    "sim.updater = [\"star\", \"grid\", \"gas\", \"dust\", \"planetesimals\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding planetesimal formation\n",
    "\n",
    "To add planetesimal formation we calculate for each particle species at each radius if it contributes to planetesimal formation. These values are negative external source terms for dust evolution, since we remove dust mass and convert them into planetesimals. We therefore add them as updater to the external dust sources."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.060914Z",
     "iopub.status.busy": "2024-06-21T13:37:13.060208Z",
     "iopub.status.idle": "2024-06-21T13:37:13.068531Z",
     "shell.execute_reply": "2024-06-21T13:37:13.067078Z"
    }
   },
   "outputs": [],
   "source": [
    "def S_ext(sim):\n",
    "    # Midplane dust-to-gas ratio\n",
    "    d2g_mid = sim.dust.rho.sum(-1) / sim.gas.rho\n",
    "    \n",
    "    # Mask that defines if planetesimal formation is triggered\n",
    "    mask = np.where(d2g_mid >= d2g_crit, True, False)\n",
    "    \n",
    "    # Change in dust surface densities\n",
    "    ret = np.where(mask[:, None], -zeta*sim.dust.Sigma * sim.dust.St * sim.grid.OmegaK[:, None], 0.)\n",
    "    # Set to zero at boundaries\n",
    "    ret[0, :] = 0.\n",
    "    ret[-1, :] = 0.\n",
    "    \n",
    "    return ret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.073907Z",
     "iopub.status.busy": "2024-06-21T13:37:13.073227Z",
     "iopub.status.idle": "2024-06-21T13:37:13.079180Z",
     "shell.execute_reply": "2024-06-21T13:37:13.078003Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.dust.S.ext.updater.updater = S_ext"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, the negative sum over all external source terms is our planetesimal formation rate. We can therefore write a source term function which we can add as derivative to the planetesimal surface density for integration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.084921Z",
     "iopub.status.busy": "2024-06-21T13:37:13.084240Z",
     "iopub.status.idle": "2024-06-21T13:37:13.090364Z",
     "shell.execute_reply": "2024-06-21T13:37:13.089204Z"
    }
   },
   "outputs": [],
   "source": [
    "def dSigmaPlan(sim, x, Y):\n",
    "    return -sim.dust.S.ext.sum(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.096778Z",
     "iopub.status.busy": "2024-06-21T13:37:13.095283Z",
     "iopub.status.idle": "2024-06-21T13:37:13.101492Z",
     "shell.execute_reply": "2024-06-21T13:37:13.100092Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.planetesimals.Sigma.differentiator = dSigmaPlan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now have to create an integration instruction and add it to the `DustPy` integrator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.107421Z",
     "iopub.status.busy": "2024-06-21T13:37:13.106735Z",
     "iopub.status.idle": "2024-06-21T13:37:13.112455Z",
     "shell.execute_reply": "2024-06-21T13:37:13.111261Z"
    }
   },
   "outputs": [],
   "source": [
    "from simframe import Instruction\n",
    "from simframe import schemes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use an explicit 1st-order Euler scheme..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.118251Z",
     "iopub.status.busy": "2024-06-21T13:37:13.117579Z",
     "iopub.status.idle": "2024-06-21T13:37:13.123727Z",
     "shell.execute_reply": "2024-06-21T13:37:13.122318Z"
    }
   },
   "outputs": [],
   "source": [
    "inst_planetesimals = Instruction(\n",
    "    schemes.expl_1_euler,\n",
    "    sim.planetesimals.Sigma,\n",
    "    description=\"Planetesimals: explicit 1st-order Euler method\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "...and append this instruction to the instruction set of the integrator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.129808Z",
     "iopub.status.busy": "2024-06-21T13:37:13.129095Z",
     "iopub.status.idle": "2024-06-21T13:37:13.135112Z",
     "shell.execute_reply": "2024-06-21T13:37:13.133945Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.integrator.instructions.append(inst_planetesimals)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The integrator has now a new instruction for the planetesimal surface density."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.140838Z",
     "iopub.status.busy": "2024-06-21T13:37:13.140171Z",
     "iopub.status.idle": "2024-06-21T13:37:13.148155Z",
     "shell.execute_reply": "2024-06-21T13:37:13.147024Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Instruction (Dust: implicit 1st-order direct solver),\n",
       " Instruction (Gas: implicit 1st-order direct solver),\n",
       " Instruction (Planetesimals: explicit 1st-order Euler method)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.integrator.instructions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not need to change the time step function, since the default function already includes the external dust source terms.\n",
    "\n",
    "Before we run the simulation we update the entire simulation object and change the name of the data directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.154053Z",
     "iopub.status.busy": "2024-06-21T13:37:13.153370Z",
     "iopub.status.idle": "2024-06-21T13:37:13.402373Z",
     "shell.execute_reply": "2024-06-21T13:37:13.401287Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.update()\n",
    "sim.writer.datadir = \"example_planetesimal_formation\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-21T13:37:13.407453Z",
     "iopub.status.busy": "2024-06-21T13:37:13.407179Z",
     "iopub.status.idle": "2024-06-22T06:15:30.740279Z",
     "shell.execute_reply": "2024-06-22T06:15:30.739266Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "DustPy v1.0.6\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 2.78e-14\u001b[0m\n",
      "        for particle collision\n",
      "            m[135] =  1.93e+07 g    with\n",
      "            m[137] =  3.73e+07 g\u001b[0m\n",
      "\u001b[93m    - Full fragmentation:\u001b[0m\n",
      "\u001b[0m        max. rel. error: \u001b[92m 5.55e-16\u001b[0m\n",
      "        for particle collision\n",
      "            m[55] =  7.20e-05 g    with\n",
      "            m[55] =  7.20e-05 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 example_planetesimal_formation.\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0000.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0001.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0002.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0003.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0004.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0005.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0006.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0007.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0008.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0009.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0010.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0011.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0012.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0013.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0014.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0015.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0016.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0017.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0018.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0019.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0020.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0021.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0022.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0023.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0024.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0025.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0026.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0027.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0028.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0029.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0030.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Writing file \u001b[94mexample_planetesimal_formation/data0031.hdf5\u001b[0m\n",
      "Writing dump file \u001b[94mexample_planetesimal_formation/frame.dmp\u001b[0m\n",
      "Execution time: \u001b[94m16:38:17\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "sim.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot our results now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-22T06:15:30.747192Z",
     "iopub.status.busy": "2024-06-22T06:15:30.746955Z",
     "iopub.status.idle": "2024-06-22T06:15:30.751262Z",
     "shell.execute_reply": "2024-06-22T06:15:30.750537Z"
    }
   },
   "outputs": [],
   "source": [
    "from dustpy import plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-22T06:15:30.755717Z",
     "iopub.status.busy": "2024-06-22T06:15:30.755465Z",
     "iopub.status.idle": "2024-06-22T06:15:31.906994Z",
     "shell.execute_reply": "2024-06-22T06:15:31.906173Z"
    }
   },
   "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": [
    "To check on planetesimal formation we extract the planetesimal parameters. Furthermore, we look at the total gas and dust masses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-22T06:15:31.916732Z",
     "iopub.status.busy": "2024-06-22T06:15:31.916414Z",
     "iopub.status.idle": "2024-06-22T06:15:32.025147Z",
     "shell.execute_reply": "2024-06-22T06:15:32.023788Z"
    }
   },
   "outputs": [],
   "source": [
    "SigmaGas = sim.writer.read.sequence(\"gas.Sigma\")\n",
    "SigmaDust = sim.writer.read.sequence(\"dust.Sigma\")\n",
    "Mplan = sim.writer.read.sequence(\"planetesimals.M\")\n",
    "t = sim.writer.read.sequence(\"t\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculation of total gas and dust masses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-22T06:15:32.029786Z",
     "iopub.status.busy": "2024-06-22T06:15:32.029588Z",
     "iopub.status.idle": "2024-06-22T06:15:32.033765Z",
     "shell.execute_reply": "2024-06-22T06:15:32.033028Z"
    }
   },
   "outputs": [],
   "source": [
    "Mgas = (sim.grid.A * SigmaGas).sum(-1)\n",
    "Mdust = (sim.grid.A * SigmaDust.sum(-1)).sum(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-22T06:15:32.038132Z",
     "iopub.status.busy": "2024-06-22T06:15:32.037904Z",
     "iopub.status.idle": "2024-06-22T06:15:32.595469Z",
     "shell.execute_reply": "2024-06-22T06:15:32.594699Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1125 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig = plt.figure(figsize=(6., 12./1.6), dpi=150)\n",
    "ax00 = fig.add_subplot(211)\n",
    "ax00.loglog(sim.grid.r/c.au, sim.gas.Sigma, label=\"Gas\")\n",
    "ax00.loglog(sim.grid.r/c.au, sim.dust.Sigma.sum(-1), label=\"Dust\")\n",
    "ax00.loglog(sim.grid.r/c.au, sim.planetesimals.Sigma, label=\"Planetesimals\")\n",
    "ax00.set_xlim(sim.grid.r[0]/c.au, sim.grid.r[-1]/c.au)\n",
    "ax00.set_ylim(1.e-5, 1.e4)\n",
    "ax00.set_xlabel(\"Distance from star [au]\")\n",
    "ax00.set_ylabel(\"Surface density [g/cm²]\")\n",
    "ax00.legend()\n",
    "\n",
    "ax10 = fig.add_subplot(212)\n",
    "ax10.loglog(t/c.year, Mgas/c.M_earth, label=\"Gas\")\n",
    "ax10.loglog(t/c.year, Mdust/c.M_earth, label=\"Dust\")\n",
    "ax10.loglog(t/c.year, Mplan/c.M_earth, label=\"Planetesimals\")\n",
    "ax10.set_xlim(t[1]/c.year, t[-1]/c.year)\n",
    "ax10.set_ylim(1.e-1, 1.e5)\n",
    "ax10.set_xlabel(r\"Time [yrs]\")\n",
    "ax10.set_ylabel(r\"Mass [$M_\\oplus$]\")\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}