{
 "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": "2023-12-01T18:14:27.375259Z",
     "iopub.status.busy": "2023-12-01T18:14:27.374595Z",
     "iopub.status.idle": "2023-12-01T18:14:28.251107Z",
     "shell.execute_reply": "2023-12-01T18:14:28.249797Z"
    }
   },
   "outputs": [],
   "source": [
    "from dustpy import Simulation\n",
    "import dustpy.constants as c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-01T18:14:28.257208Z",
     "iopub.status.busy": "2023-12-01T18:14:28.256740Z",
     "iopub.status.idle": "2023-12-01T18:14:28.261674Z",
     "shell.execute_reply": "2023-12-01T18:14:28.260905Z"
    }
   },
   "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": "2023-12-01T18:14:28.266124Z",
     "iopub.status.busy": "2023-12-01T18:14:28.265900Z",
     "iopub.status.idle": "2023-12-01T18:14:28.270964Z",
     "shell.execute_reply": "2023-12-01T18:14:28.270097Z"
    }
   },
   "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": "2023-12-01T18:14:28.275586Z",
     "iopub.status.busy": "2023-12-01T18:14:28.275310Z",
     "iopub.status.idle": "2023-12-01T18:14:28.283460Z",
     "shell.execute_reply": "2023-12-01T18:14:28.282494Z"
    }
   },
   "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": "2023-12-01T18:14:28.288258Z",
     "iopub.status.busy": "2023-12-01T18:14:28.287883Z",
     "iopub.status.idle": "2023-12-01T18:14:28.294388Z",
     "shell.execute_reply": "2023-12-01T18:14:28.293087Z"
    }
   },
   "outputs": [],
   "source": [
    "ri = np.logspace(0., 3., 100) * c.au\n",
    "sim.grid.ri = refinegrid(ri, r0+3.*w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-01T18:14:28.299786Z",
     "iopub.status.busy": "2023-12-01T18:14:28.299193Z",
     "iopub.status.idle": "2023-12-01T18:14:28.902999Z",
     "shell.execute_reply": "2023-12-01T18:14:28.902057Z"
    }
   },
   "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": "2023-12-01T18:14:28.908058Z",
     "iopub.status.busy": "2023-12-01T18:14:28.907785Z",
     "iopub.status.idle": "2023-12-01T18:14:28.912382Z",
     "shell.execute_reply": "2023-12-01T18:14:28.911566Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.t.snapshots = np.logspace(3., 6., 31) * c.year"
   ]
  },
  {
   "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": "2023-12-01T18:14:28.916973Z",
     "iopub.status.busy": "2023-12-01T18:14:28.916706Z",
     "iopub.status.idle": "2023-12-01T18:14:28.921477Z",
     "shell.execute_reply": "2023-12-01T18:14:28.920648Z"
    }
   },
   "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": "2023-12-01T18:14:28.926195Z",
     "iopub.status.busy": "2023-12-01T18:14:28.925904Z",
     "iopub.status.idle": "2023-12-01T18:14:28.930521Z",
     "shell.execute_reply": "2023-12-01T18:14:28.929628Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.addgroup(\"planetesimals\", description=\"Planetesimal quantities\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-01T18:14:28.950944Z",
     "iopub.status.busy": "2023-12-01T18:14:28.950172Z",
     "iopub.status.idle": "2023-12-01T18:14:28.957944Z",
     "shell.execute_reply": "2023-12-01T18:14:28.956527Z"
    }
   },
   "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": "2023-12-01T18:14:28.963483Z",
     "iopub.status.busy": "2023-12-01T18:14:28.962811Z",
     "iopub.status.idle": "2023-12-01T18:14:28.977729Z",
     "shell.execute_reply": "2023-12-01T18:14:28.976677Z"
    }
   },
   "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": "2023-12-01T18:14:29.040512Z",
     "iopub.status.busy": "2023-12-01T18:14:29.039648Z",
     "iopub.status.idle": "2023-12-01T18:14:29.047136Z",
     "shell.execute_reply": "2023-12-01T18:14:29.045655Z"
    }
   },
   "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": "2023-12-01T18:14:29.051288Z",
     "iopub.status.busy": "2023-12-01T18:14:29.050567Z",
     "iopub.status.idle": "2023-12-01T18:14:29.056794Z",
     "shell.execute_reply": "2023-12-01T18:14:29.055583Z"
    }
   },
   "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": "2023-12-01T18:14:29.061106Z",
     "iopub.status.busy": "2023-12-01T18:14:29.060463Z",
     "iopub.status.idle": "2023-12-01T18:14:29.067295Z",
     "shell.execute_reply": "2023-12-01T18:14:29.065915Z"
    }
   },
   "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": "2023-12-01T18:14:29.072276Z",
     "iopub.status.busy": "2023-12-01T18:14:29.071617Z",
     "iopub.status.idle": "2023-12-01T18:14:29.080164Z",
     "shell.execute_reply": "2023-12-01T18:14:29.078819Z"
    }
   },
   "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": "2023-12-01T18:14:29.085594Z",
     "iopub.status.busy": "2023-12-01T18:14:29.084997Z",
     "iopub.status.idle": "2023-12-01T18:14:29.090903Z",
     "shell.execute_reply": "2023-12-01T18:14:29.089517Z"
    }
   },
   "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": "2023-12-01T18:14:29.104711Z",
     "iopub.status.busy": "2023-12-01T18:14:29.102144Z",
     "iopub.status.idle": "2023-12-01T18:14:29.112033Z",
     "shell.execute_reply": "2023-12-01T18:14:29.110741Z"
    }
   },
   "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": "2023-12-01T18:14:29.117637Z",
     "iopub.status.busy": "2023-12-01T18:14:29.117087Z",
     "iopub.status.idle": "2023-12-01T18:14:29.123305Z",
     "shell.execute_reply": "2023-12-01T18:14:29.122077Z"
    }
   },
   "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": "2023-12-01T18:14:29.129389Z",
     "iopub.status.busy": "2023-12-01T18:14:29.128721Z",
     "iopub.status.idle": "2023-12-01T18:14:29.135120Z",
     "shell.execute_reply": "2023-12-01T18:14:29.133723Z"
    }
   },
   "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": "2023-12-01T18:14:29.141063Z",
     "iopub.status.busy": "2023-12-01T18:14:29.140397Z",
     "iopub.status.idle": "2023-12-01T18:14:29.147153Z",
     "shell.execute_reply": "2023-12-01T18:14:29.145722Z"
    }
   },
   "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": "2023-12-01T18:14:29.154105Z",
     "iopub.status.busy": "2023-12-01T18:14:29.152811Z",
     "iopub.status.idle": "2023-12-01T18:14:29.159466Z",
     "shell.execute_reply": "2023-12-01T18:14:29.158084Z"
    }
   },
   "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": "2023-12-01T18:14:29.165473Z",
     "iopub.status.busy": "2023-12-01T18:14:29.164814Z",
     "iopub.status.idle": "2023-12-01T18:14:29.174294Z",
     "shell.execute_reply": "2023-12-01T18:14:29.172917Z"
    }
   },
   "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": "2023-12-01T18:14:29.180271Z",
     "iopub.status.busy": "2023-12-01T18:14:29.179574Z",
     "iopub.status.idle": "2023-12-01T18:14:29.415923Z",
     "shell.execute_reply": "2023-12-01T18:14:29.415034Z"
    }
   },
   "outputs": [],
   "source": [
    "sim.update()\n",
    "sim.writer.datadir = \"example_planetesimal_formation\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-01T18:14:29.420841Z",
     "iopub.status.busy": "2023-12-01T18:14:29.420612Z",
     "iopub.status.idle": "2023-12-02T20:09:19.909195Z",
     "shell.execute_reply": "2023-12-02T20:09:19.907871Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "DustPy v1.0.5\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[94m1 day, 1:54:50\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": "2023-12-02T20:09:19.914589Z",
     "iopub.status.busy": "2023-12-02T20:09:19.914314Z",
     "iopub.status.idle": "2023-12-02T20:09:19.919544Z",
     "shell.execute_reply": "2023-12-02T20:09:19.918758Z"
    }
   },
   "outputs": [],
   "source": [
    "from dustpy import plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-02T20:09:19.924164Z",
     "iopub.status.busy": "2023-12-02T20:09:19.923845Z",
     "iopub.status.idle": "2023-12-02T20:09:21.119701Z",
     "shell.execute_reply": "2023-12-02T20:09:21.118158Z"
    }
   },
   "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": "2023-12-02T20:09:21.128905Z",
     "iopub.status.busy": "2023-12-02T20:09:21.128167Z",
     "iopub.status.idle": "2023-12-02T20:09:21.197907Z",
     "shell.execute_reply": "2023-12-02T20:09:21.197017Z"
    }
   },
   "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": "2023-12-02T20:09:21.202679Z",
     "iopub.status.busy": "2023-12-02T20:09:21.202467Z",
     "iopub.status.idle": "2023-12-02T20:09:21.206941Z",
     "shell.execute_reply": "2023-12-02T20:09:21.206151Z"
    }
   },
   "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": "2023-12-02T20:09:21.211199Z",
     "iopub.status.busy": "2023-12-02T20:09:21.210974Z",
     "iopub.status.idle": "2023-12-02T20:09:21.846183Z",
     "shell.execute_reply": "2023-12-02T20:09:21.845405Z"
    }
   },
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}