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The Growth of Protoplanets via the Accretion of Small Bodies in Disks Perturbed by the Planetary Gravity

Tatsuya Okamura Department of Physics, Nagoya University, Nagoya, Aichi 464-8602, Japan [email protected] Hiroshi Kobayashi Department of Physics, Nagoya University, Nagoya, Aichi 464-8602, Japan
Abstract

Planets grow via the collisional accretion of small bodies in a protoplanetary disk. Such small bodies feel strong gas drag and their orbits are significantly affected by the gas flow and atmospheric structure around the planet. We investigate the gas flow in the protoplanetary disk perturbed by the gravity of the planet by three-dimensional hydrodynamic simulation. We then calculate the orbital evolutions of particles in the gas structure obtained from the hydrodynamic simulation. Based on the orbital calculations, we obtain the collision rate between the planet and centimeter to kilometer sized particles. Our results show that meter-sized or larger particles effectively collide with the planet due to the atmospheric gas drag, which significantly enhances the collision rate. On the other hand, the gas flow plays an important role for smaller particles. Finally, considering the effects of the atmosphere and gas flow, we derive the new analytic formula for the collision rate, which is in good agreement with our simulations. We estimate the growth timescale and accretion efficiency of drifting bodies for the formation of a gas-giant solid core using the formula. We find the accretion of sub-kilometer sized bodies achieve a short growth timescale (0.05Myr\sim 0.05\ {\rm Myr}) and a high accretion efficiency (1\sim 1) for the core formation at 5 au in the minimum mass solar nebula model.

1 Introduction

In the last ten years, the growth of protoplanets is considered via the accretion of mm-cm sized particles (pebbles) as well as km sized planetesimals (e.g., Ormel & Klahr, 2010; Lambrechts & Johansen, 2012). Pebbles, formed from dust grain coagulation, drift inward, and are effectively accreted onto protoplanets in inner protoplanetary disks. These pebbles are aerodynamically small and well coupled to the gas, so that the gas flow significantly affects the collision rate between pebbles and planets. Recently, the detailed flow structures around a low-mass and non-gap-opening planet embedded in a protoplanetary disk were revealed by hydrodynamic simulations (Ormel et al., 2015b; Fung et al., 2015; Lambrechts & Lega, 2017; Cimerman et al., 2017; Kurokawa & Tanigawa, 2018; Kuwahara et al., 2019; Béthune & Rafikov, 2019; Fung et al., 2019; Moldenhauer et al., 2021) The common flow structures of these studies are the horseshoe and vertical flow. The horseshoe flow extends along the orbital direction of the planet in the anterior-posterior direction of the planet and has a vertical structure like a column. The vertical flow comes from high altitudes to planets. These flow structures influence the collision rate between pebbles and the planet (Ormel, 2013). Popovas et al.(2018, 2019) showed the horseshoe flow takes pebbles away from the planet and prevents the particles from accreting onto the planet. Kuwahara & Kurokawa (2020a) showed the vertical flow helps small particles accreting onto the planet, so that the collision rate increases if pebbles have a vertical distribution. The analytic formula for the collision rates with planets has been derived for particles well coupled to the gas (Ormel & Klahr, 2010; Ormel, 2013).

On the other hand, the planetary atmosphere enhances the accretion rate of meter-sized or larger bodies. Once protoplanets grow larger than the Moon, they can have atmospheres (e.g., Mizuno et al., 1978). The gas density of the atmosphere may be in orders of magnitude larger than the protoplanetary disk. In addition, a close encounter with a planet accelerates the velocity of particles and the velocity may exceed the speed of sound. These effects effectively reduce the kinetic energy of particles so that the particles are captured in the atmosphere. The effective capture radius for sub-kilometer sized bodies is much larger than the physical radius of the planet (Inaba & Ikoma, 2003). For the accretion rate, Inaba & Ikoma (2003) derived the analytic formula, which is valid for accretion of sub-kilometer sized or larger particles. However, their formula overestimates the accretion rate of the meter-sized or smaller particles because the effective capture radius is estimated to be comparable to the Hill radius of the planet. Therefore, the atmosphere structure and flow around a protoplanet is necessary to derive accretion rates of centimeter to kilometer sized particles consistently.

Kurokawa & Tanigawa (2018) showed by hydrodynamic simulation, the atmospheric structure isolated from the protoplanetary disk is formed around the planet due to the cooling. Therefore, the self-consistent flow and atmosphere around a planet is obtainable via hydrodynamic simulation. The accretion rate of bodies from pebbles to planetesimals can be calculated via the orbital simulation of bodies based on the density and velocity profile in the disk obtained via the hydrodynamic simulation. Such combined simulations were carried out only for meter-sized or smaller particles (Popovas et al., 2018, 2019; Kuwahara & Kurokawa, 2020a, b). However, the accretion rate for a wide size range of particles is helpful to discuss the dominant accreted bodies onto a planet.

In this paper, we investigate the collision rate between small bodies and a planet in the protoplanetary disk perturbed by the planetary gravity. Our goal is to find out the effects of the gas flow and planetary atmosphere on the collision rate. We perform hydrodynamic simulations and orbital calculations of centimeter to kilometer sized particles in the gas flow obtained from the hydrodynamic simulation. Based on simulations, we derive the new analytic formula for the collision rate in the disk perturbed by the planetary gravity including the gas flow and planetary atmosphere. In §2, we describe the simulation methods for hydrodynamics and orbital evolution of particles. In §3, we show the gas flow and atmospheric structure around a planet given by the hydrodynamic simulation and obtain the collision rate between the planet and particles via orbital calculation. In §4, we derive the new analytic formulae for the collision rate. In §5 and 6, we discuss and summarize our findings.

2 Methods

2.1 Hydrodynamic Simulations

2.1.1 Basic Equations

We investigate the gas flow around a protoplanet with a circular orbit of radius aa in a protoplanetary disk around the host star with mass MM_{*} via hydrodynamic simulation. We assume a compressible, inviscid, non-isothermal, non-self-gravitating fluid. The basic equations of the hydrodynamic simulations are the equation of continuity, the Euler’s equation, and the energy conservation equation, given by

ρgt+(ρg𝒗g)=0,\frac{\partial\rho_{\mathrm{g}}}{\partial t}+\nabla\cdot(\rho_{\mathrm{g}}\mbox{\boldmath${v}$}_{\mathrm{g}})=0, (1)
(t+𝒗g)𝒗g=pρg+(𝑭cor+𝑭tid+𝑭p),\left(\frac{\partial}{\partial t}+\mbox{\boldmath${v}$}_{\mathrm{g}}\cdot\nabla\right)\mbox{\boldmath${v}$}_{\mathrm{g}}=-\frac{\nabla p}{\rho_{\mathrm{g}}}+(\mbox{\boldmath${F}$}_{\mathrm{cor}}+\mbox{\boldmath${F}$}_{\mathrm{tid}}+\mbox{\boldmath${F}$}_{\mathrm{p}}), (2)
Et+[(E+p)𝒗g]\displaystyle\frac{\partial E}{\partial t}+\nabla\cdot[(E+p)\mbox{\boldmath${v}$}_{\mathrm{g}}] =\displaystyle= ρg𝒗g(𝑭cor+𝑭tid+𝑭p)\displaystyle\rho_{\mathrm{g}}\mbox{\boldmath${v}$}_{\mathrm{g}}\cdot(\mbox{\boldmath${F}$}_{\mathrm{cor}}+\mbox{\boldmath${F}$}_{\mathrm{tid}}+\mbox{\boldmath${F}$}_{\mathrm{p}}) (3)
\displaystyle- U(ρg,T)U(ρg,T0)β/Ω,\displaystyle\frac{U(\rho_{\mathrm{g}},T)-U(\rho_{\mathrm{g}},T_{0})}{\beta/\Omega},

where ρg\rho_{\mathrm{g}} is the gas density, 𝒗g\mbox{\boldmath${v}$}_{\mathrm{g}} is the gas velocity, pp is the pressure, 𝑭cor\mbox{\boldmath${F}$}_{\mathrm{cor}} is the Coriolis force, 𝑭tid\mbox{\boldmath${F}$}_{\mathrm{tid}} is the tidal force, 𝑭p\mbox{\boldmath${F}$}_{\mathrm{p}} is the gravitational force, Ω\Omega is the orbital frequency, β\beta is the dimensionless cooling timescale, TT and T0T_{0} is the fluid and background temperatures, respectively, and UU and EE are, respectively, the internal and total energy densities, given by

U=pγ1,U=\frac{p}{\gamma-1}, (4)
E=U+12ρgvg2,E=U+\frac{1}{2}\rho_{\mathrm{g}}v_{\mathrm{g}}^{2}, (5)

with the ratio of specific heat γ=7/5\gamma=7/5.

The forces in Eqs. (2) and (3) are given by 𝑭cor=2Ω𝒆z×𝒗g\mbox{\boldmath${F}$}_{\mathrm{cor}}=-2\Omega\mbox{\boldmath${e}$}_{z}\times\mbox{\boldmath${v}$}_{\mathrm{g}}, 𝑭tid=3xΩ2𝒆xzΩ2𝒆z\mbox{\boldmath${F}$}_{\mathrm{tid}}=3x\Omega^{2}\mbox{\boldmath${e}$}_{x}-z\Omega^{2}\mbox{\boldmath${e}$}_{z}, and

𝑭p=(GMpr2+rs2){1exp[12(ttinj)2]},\mbox{\boldmath${F}$}_{\mathrm{p}}=\nabla\left(\frac{GM_{\mathrm{p}}}{\sqrt{r^{2}+r^{2}_{\mathrm{s}}}}\right)\left\{1-\mathrm{exp}\left[-\frac{1}{2}\left(\frac{t}{t_{\mathrm{inj}}}\right)^{2}\right]\right\}, (6)

where 𝒆i\mbox{\boldmath${e}$}_{i} is the unit vector in the ii-direction, MpM_{\mathrm{p}} is the mass of the planet, GG is the gravitational constant, rr is the distance from the center of the planet, rsr_{\mathrm{s}} is the softening length, and tinjt_{\mathrm{inj}} is the injection time of planetary gravity. To avoid the numerical effect, the gravity of the planet is gradually inserted using the injection time tinj=0.5Ω1t_{\mathrm{inj}}=0.5\Omega^{-1} (Ormel et al., 2015a). The planet have an atmosphere with radius RB\sim R_{\rm B}, where RBGMp/cs2R_{\rm B}\equiv GM_{\rm p}/c_{\rm s}^{2} is the Bondi radius and csc_{\rm s} is the isothermal sound speed. To resolve the atmospheric structure, we set rs=0.1RBr_{\mathrm{s}}=0.1R_{\rm B} according to Kurokawa & Tanigawa (2018).

The last term in Eq. (3) is the cooling function according to the β\beta cooling model where the temperature TT relaxes toward T0T_{0} in the timescale β/Ω\beta/\Omega (e.g., Gammie, 2001). In this study, we adopt the β\beta cooling model to obtain the density profile and flow around the planetary atmosphere according to Kurokawa & Tanigawa (2018), who showed the atmosphere is formed around the planet using the β\beta cooling model. We set β=(RBΩ/0.1cs)2\beta=(R_{\mathrm{B}}\Omega/0.1c_{\rm s})^{2} according to the previous studies (Kurokawa & Tanigawa, 2018; Kuwahara & Kurokawa, 2020a, b).

The time, velocity, and length are considered to be normalized by the reciprocal of the Keplerian orbital frequency Ω1\Omega^{-1}, the isothermal sound speed csc_{\mathrm{s}}, and the gas scale hight Hcs/ΩH\equiv c_{\mathrm{s}}/\Omega, respectively. The basic equations are then characterized by a dimensionless number, given by

m=RBH=GMpΩcs3.m=\frac{R_{\mathrm{B}}}{H}=\frac{GM_{\mathrm{p}}\Omega}{c_{\mathrm{s}}^{3}}. (7)

The Hill radius is written as a function of mm:

RH=(m3)1/3H.R_{\mathrm{H}}=\left(\frac{m}{3}\right)^{1/3}H. (8)

We assume a solar mass host star and a disk temperature profile T=270(a/1au)1/2T=270(a/1\ \mathrm{au})^{-1/2}(i.e., the minimum mass solar nebula model, Weidenschilling, 1977b; Hayashi et al., 1985), so that MpM_{\mathrm{p}} is given by (Kurokawa & Tanigawa, 2018)

Mp12m(a1au)3/4M.M_{\mathrm{p}}\simeq 12m\left(\frac{a}{1\ \mathrm{au}}\right)^{3/4}M_{\oplus}. (9)

We investigate the cases with m=0.1m=0.1, 0.050.05, and 0.030.03, which correspond to Mp/M=1.2M_{\rm p}/M_{\oplus}=1.2 (4.0)(4.0), 0.60.6 (2.0)(2.0), and 0.360.36 (1.2)(1.2) at 11 (5)(5) au, respectively.

2.1.2 Simulation Setups and Boundary Conditions

In this study, we use the hydrodynamic simulation code Athena++ (White et al., 2016; Stone et al., 2020). We choose the HLLC algorithm for a Riemann solver. Our simulations are performed in a spherical-polar coordinate (r,θ,ϕ)(r,\theta,\phi) centered on the planet. We focus on the embedded, non-gap-opening regime and thus the local simulations are likely to be valid. In order to resolve the flow structure around the planet in detail, we adopt a logarithmic grid for the radial dimension. In the polar angle direction, the cell size is proportional to (3ψ2+1)(3\psi^{2}+1), where ψ\psi is the angle from the midplane. The cell spacing near the midplane is smaller than near the pole (i.e., resolution near the midplane is higher than near the pole; Kurokawa & Tanigawa, 2018). The numerical resolution is set to be 128×64×128128\times 64\times 128 in the rr, θ\theta, and ϕ\phi directions, respectively. The computational domain ranges from 0 to 2π2\pi for ϕ\phi, from 0 to π\pi for θ\theta, and from rinnr_{\mathrm{inn}} to routr_{\mathrm{out}} for rr, where rinnr_{\mathrm{inn}} and routr_{\mathrm{out}} are the radii at the inner and outer boundaries, respectively.

We assume the initial and outer boundary values in hydrodynamic simulations are those of a Kepler disk without pressure gradient term, therefore given by

ρg,0=ρ0exp[12(zH)2],\rho_{\mathrm{g},0}=\rho_{0}\ \mathrm{exp}\left[-\frac{1}{2}\left(\frac{z}{H}\right)^{2}\right], (10)
𝒗g,0=32Ωx𝒆y,\mbox{\boldmath${v}$}_{\mathrm{g},0}=-\frac{3}{2}\Omega x\mbox{\boldmath${e}$}_{y}, (11)

where ρ0\rho_{0} is the density at the midplane and zz is the distance from the midplane. We focus on the shear regime of pebble accretion, where the shear velocity is more dominant than the headwind of the gas to determine the accretion rate. The condition satisfied to be in the shear regime is given by (Ormel, 2017)

Mp\displaystyle M_{\mathrm{p}} \displaystyle\gg 18vhw3GΩSt0\displaystyle\frac{1}{8}\frac{v_{\mathrm{hw}}^{3}}{G\Omega St_{0}} (12)
\displaystyle\simeq 2.0×104M1St0\displaystyle 2.0\times 10^{-4}M_{\oplus}\frac{1}{St_{0}}
×\displaystyle\times (a1au)3/2(vhw50ms1)3,\displaystyle\left(\frac{a}{1\ \mathrm{au}}\right)^{3/2}\left(\frac{v_{\mathrm{hw}}}{50\ \mathrm{m\ s^{-1}}}\right)^{3},

where vhwv_{\rm hw} is the headwind of the gas and St0St_{0} is the dimensionless stopping time of a particle (see Eq. 25). We perform simulations for Mp=0.361.2MM_{\mathrm{p}}=0.36-1.2\ M_{\oplus} at a=1aua=1\ {\rm au} (Mp=1.24.0MM_{\rm p}=1.2-4.0\ M_{\oplus} at a=5aua=5\ {\rm au}) and St0=3.0×1031.0×1013St_{0}=3.0\times 10^{-3}-1.0\times 10^{13}, so that we ignore the headwind in our simulations.

We set the radius of the inner boundary according to that of the planet (Kuwahara & Kurokawa, 2020a). We assume the density of the planet ρpl=5g/cm3\rho_{\mathrm{pl}}=5\ \mathrm{g}/\mathrm{cm}^{3}, so that the radius of the inner boundary is given by

rinn\displaystyle r_{\mathrm{inn}} =\displaystyle= (3Mp4πρpl)1/3=(9M4πρpl)1/3RHa\displaystyle\left(\frac{3M_{\mathrm{p}}}{4\pi\rho_{\mathrm{pl}}}\right)^{1/3}=\left(\frac{9M_{*}}{4\pi\rho_{\mathrm{pl}}}\right)^{1/3}\frac{R_{\rm H}}{a} (13)
\displaystyle\simeq 3×103m1/3\displaystyle 3\times 10^{-3}m^{1/3}
×\displaystyle\times (ρpl5gcm3)1/3(M1M)1/3(a1au)1.\displaystyle\left(\frac{\rho_{\mathrm{pl}}}{5\ \mathrm{g\ cm^{-3}}}\right)^{-1/3}\left(\frac{M_{*}}{1M_{\odot}}\right)^{1/3}\left(\frac{a}{1\ \mathrm{au}}\right)^{-1}.

We introduce the reflective boundary condition for the inner boundary, but Kurokawa & Tanigawa (2018) reported this condition generates the unphysical energy flow in the results of simulations by Athena++. In order to prevent this unphysical affair from affecting the entire flow, we introduce the artificial cooling at the three inner cells (β=105\beta=10^{-5}; Kurokawa & Tanigawa, 2018). The boundary condition in the azimuthal direction is set to the periodic boundary, which means A(r,θ,ϕ)=A(r,θ,ϕ+2π)A(r,\ \theta,\ \phi)=A(r,\ \theta,\ \phi+2\pi) holds for an arbitrary physical quantity AA. We calculate until the steady state flow is almost achieved at t=tendt=t_{\rm end}. We set tendt_{\rm end} according to Kuwahara & Kurokawa (2020a). A summary of our simulation parameters is showed in Table 1, which are chosen from the values at a=1aua=1\ {\rm au}.

Table 1: List of parameters for our simulations. The first column shows the value of dimensionless mass of the planet. The second to eighth columns represent the corresponding values at 1au1\ {\rm au} for the mass of the planet normalized by the earth mass, the Bondi radius, the Hill radius, the size of the inner boundary, the size of the outer boundary, termination time of the hydrodynamic simulation, dimensionless cooling timescale β\beta.
m physical mass (MM_{\oplus}) RB(H)R_{\mathrm{B}}\ (H) RH(H)R_{\mathrm{H}}\ (H) rinn(H)r_{\mathrm{inn}}\ (H) rout(H)r_{\mathrm{out}}\ (H) tend(Ω1)t_{\mathrm{end}}\ (\Omega^{-1}) β\beta
0.03 0.36 0.03 0.22 9.32×1049.32\times 10^{-4} 0.5 50 0.09
0.05 0.6 0.05 0.26 1.1×1031.1\times 10^{-3} 0.75 100 0.25
0.1 1.2 0.1 0.32 1.39×1031.39\times 10^{-3} 5 150 1

2.2 Orbital Calculations

2.2.1 Equations and Gas Drag Law

We calculate orbits of particles in the gas flow obtained from hydrodynamic simulations. The equation of motion of the particle is given by

d𝒗dt=(2vyΩ+3xΩ22vxΩzΩ2)GMpr3(xyz)+𝑭dragmp,\displaystyle\frac{d\mbox{\boldmath${v}$}}{dt}=\left(\begin{array}[]{ccc}2v_{y}\Omega+3x\Omega^{2}\\ -2v_{x}\Omega\\ -z\Omega^{2}\end{array}\right)-\frac{\mathrm{G}M_{\mathrm{p}}}{r^{3}}\left(\begin{array}[]{ccc}x\\ y\\ z\end{array}\right)+\frac{\mbox{\boldmath${F}$}_{\mathrm{drag}}}{m_{\mathrm{p}}}, (20)
(21)

where 𝒗=(vx,vy,vz)\mbox{\boldmath${v}$}=(v_{x},v_{y},v_{z}) is the velocity vector of the particle, 𝒓=(x,y,z)\mbox{\boldmath${r}$}=(x,y,z) is its position vector with respect to the center of the planet, and mpm_{\mathrm{p}} is the mass of the particle. The first and second terms on the right-hand side of Eq. (21) are the Coriolis and tidal forces and the gravity force of the planet, respectively. The third term is the gas drag force given by (e.g., Adachi et al., 1976)

𝑭drag=CD2πrp2ρgu𝒖,\mbox{\boldmath${F}$}_{\mathrm{drag}}=-\frac{C_{\mathrm{D}}}{2}\pi r_{\mathrm{p}}^{2}\rho_{\mathrm{g}}u\mbox{\boldmath${u}$}, (22)

where rpr_{\mathrm{p}} is a particle radius, 𝒖𝒗𝒗g,u=|𝒖|\mbox{\boldmath${u}$}\equiv\mbox{\boldmath${v}$}-\mbox{\boldmath${v}$}_{\mathrm{g}},\ u=|\mbox{\boldmath${u}$}| is the velocity of a particle relative to the gas, and CDC_{\mathrm{D}} is the gas drag coefficient. We consider centimeter to kilometer sized particles; CDC_{\mathrm{D}} is given by the Stokes gas drag for small particles, while CDC_{\mathrm{D}} is constant for large particles (Adachi et al., 1976). In addition, if particle velocities exceed the sound speed due to planetary gravity, the supersonic gas drag law should be applied. The gas drag coefficient, CDC_{\mathrm{D}} is approximated to be (Adachi et al., 1976; Tanigawa et al., 2014).

CD=12νrpu+(2w)M1.6+M+w,C_{\mathrm{D}}=\frac{12\nu}{r_{\rm p}u}+\frac{(2-w)M}{1.6+M}+w, (23)

where ν\nu is the kinetic viscosity, Mu/csM\equiv u/c_{\mathrm{s}} is the Mach number, and w=0.4w=0.4 is the correction factor. In Eq. (23), the first, second, and third terms indicate Stokes, quadratic, and supersonic drag coefficients, respectively, and we ignore Epstein drag for simplicity. In our simulation, we do not consider the evaporation or ablation. The kinetic viscosity is given by ν=lmfpcs/2\nu=l_{\rm mfp}c_{\rm s}/2, where lmfp=μmH/ρgσl_{\rm mfp}=\mu m_{\rm H}/\rho_{\rm g}\sigma is the mean free path of the gas, μ=2.34\mu=2.34 is the mean molecular weight, mH=1.67×1024gm_{\rm H}=1.67\times 10^{-24}\ {\rm g} is the mass of the proton, and σ=2×1015cm2\sigma=2\times 10^{-15}\ {\rm cm}^{2} is the molecular collision cross section (Chapman & Cowling, 1970; Adachi et al., 1976). The stopping time of a particle is expressed by

tstop=mpu|𝑭drag|=4ρprp29ρgcslmfp(1+2M+1.6w1.6+Mrpu6cslmfp)1,t_{\mathrm{stop}}=\frac{m_{\mathrm{p}}u}{|\mbox{\boldmath${F}$}_{\mathrm{drag}}|}=\frac{4\rho_{\mathrm{p}}r_{\mathrm{p}}^{2}}{9\rho_{\mathrm{g}}c_{\mathrm{s}}l_{\mathrm{mfp}}}\left(1+\frac{2M+1.6w}{1.6+M}\cdot\frac{r_{\mathrm{p}}u}{6c_{\mathrm{s}}l_{\mathrm{mfp}}}\right)^{-1}, (24)

where ρp\rho_{\mathrm{p}} is the density of a particle. We investigate the orbits of particles with different radii. We introduce the Stokes parameter, StSt defined as the stopping time multiplied by Ω\Omega. The initial particle has ucsu\ll c_{\rm s} so that the gas drag is mainly given in the Stokes gas drag regime. This initial Stokes parameter is approximated to be

St0=4.5×104(ρp1gcm3)(cs1kms1)1(rp1cm)2,St_{0}=4.5\times 10^{-4}\left(\frac{\rho_{\mathrm{p}}}{1\ \mathrm{g}\ \mathrm{cm}^{-3}}\right)\left(\frac{c_{\mathrm{s}}}{1\ \mathrm{km\ s^{-1}}}\right)^{-1}\left(\frac{r_{\mathrm{p}}}{1\ \mathrm{cm}}\right)^{2}, (25)

where the value of csc_{\mathrm{s}} is chosen as that approximately at 1au1\ \mathrm{au} in the minimum mass solar nebula model. Note that StSt continuously changes during the calculation. The value of StSt can be less than St0St_{0} due to the gas drag for ucsu\gg c_{\rm s}. We use St0St_{0} given in Eq. (25) as a parameter instead of the radii of particles.

2.2.2 Numerical Setups: 3D Orbital Calculations

A particle is launched from a starting point (xs,ys,zsx_{\mathrm{s}},y_{\mathrm{s}},z_{\mathrm{s}}), where ysy_{\mathrm{s}} is fixed at ys=40RHy_{\mathrm{s}}=40R_{\mathrm{H}}, and xsx_{\mathrm{s}} and zsz_{\mathrm{s}} are varied (Ida & Nakazawa, 1989; Ormel & Klahr, 2010). The particle is initially well coupled to the gas for St01St_{0}\ll 1, while the motion is determined by Kepler’s laws for St01St_{0}\gg 1. We thus set the initial condition according to the gas motion for St0<1St_{0}<1 or the orbital elements for St0>1St_{0}>1. If the orbital eccentricities of particles are much smaller than the Hill radius of the planet divided by aa, the collision rate is independent of eccentricities (Ida & Nakazawa, 1989). We set initially circular orbits. The initial conditions are given as follows.

zs\displaystyle z_{\rm s} =\displaystyle= {z0(St0<1),iassinωz0sinω(St0>1),\displaystyle\left\{\begin{array}[]{cc}z_{0}\ \ \ (St_{0}<1),\\ ia_{\rm s}\ \mathrm{sin}\ \omega\equiv z_{0}\ \mathrm{sin}\ \omega\ \ \ (St_{0}>1),\\ \end{array}\right.
𝒗0\displaystyle\mbox{\boldmath${v}$}_{0} =\displaystyle= (0,32Ωxs,vz,0),\displaystyle\left(0,-\frac{3}{2}\Omega x_{\mathrm{s}},v_{z,0}\right), (28)
vz,0\displaystyle v_{z,0} =\displaystyle= {0(St0<1),z0cosω(St0>1),\displaystyle\left\{\begin{array}[]{cc}0\ \ \ (St_{0}<1),\\ z_{0}\ \mathrm{cos}\ \omega\ \ \ (St_{0}>1),\\ \end{array}\right.

where ii is the initial inclination of the particle, asa_{\rm s} is its initial semimajor axis and ω\omega is its longitude of ascending node. We assume ω\omega is distributed uniformly in the range between 0 and π\pi, and take the average for the calculation of the collision rate. For St0<1St_{0}<1, we ignore the zz-component of the tidal force in Eq. (21) assuming the balance with turbulent stirring according to Kuwahara & Kurokawa (2020a, b).

The lower limits of xsx_{\mathrm{s}} and z0z_{\mathrm{0}} are set to xs=0.0001Hx_{\mathrm{s}}=0.0001H and z0=0z_{\mathrm{0}}=0 and the spacial intervals of xsx_{\mathrm{s}} and z0z_{\mathrm{0}} are 0.0001H0.0001H and 0.02H0.02H. The upper limits of xsx_{\mathrm{s}} and z0z_{\mathrm{0}} are set to a few disk scale hights. We calculate orbits only coming from positive xx and yy because of the symmetry.

We use ρg\rho_{\mathrm{g}}, 𝒗g\mbox{\boldmath${v}$}_{\mathrm{g}}, and csc_{\mathrm{s}} given from the hydrodynamic simulation at t=tendt=t_{\mathrm{end}}, at which the fluid is in a quasi-steady state. The starting point of the particle is out of the computational domain of our hydrodynamic simulation (routr_{\mathrm{out}}), so that we set the velocity and density of gas in r>routr>r_{\mathrm{out}} are the same as the outer boundary conditions given in Eqs. (10) and (11). In our hydrodynamic simulations for m=0.03m=0.03 and m=0.05m=0.05, unexpected vortices are appeared in the horseshoe structure. These vortices are found by Kuwahara & Kurokawa (2020a, b), which are caused by the low resolution of the distant place from the planet. In these cases, we only use the results of the hydrodynamic simulation in r<0.3H(m=0.03)r<0.3H\ (m=0.03) and in r<0.55H(m=0.05)r<0.55H\ (m=0.05), respectively. All physical quantities obtained via hydrodynamic simulations are the discrete data, so that we interpolate physical quantities using the linear interpolation method (Kuwahara & Kurokawa, 2020a).

Orbital integration is terminated if any one of the following conditions is satisfied. (i) A particle goes far away; |y|>40RH|y|>40R_{\mathrm{H}}. (ii) A particle collides with the planet; r<rinnr<r_{\mathrm{inn}}, where rinnr_{\mathrm{inn}} is the inner boundary for hydrodynamic simulations and the physical radius of the planet in Eq. (13).

We numerically integrate Eq. (21) using the Runge-Kutta-Fehlberg scheme (Fehlberg, 1969; Eshagh, 2005; Ormel & Klahr, 2010). This integration method controls each time step comparing a fourth-order solution with a fifth-order solution. We set the relative error tolerance of 10810^{-8}, which ensures numerical convergence (Ormel & Klahr, 2010; Visser & Ormel, 2016).

We show the sketch of the orbital calculation of particles in Fig. 1.

Refer to caption
Figure 1: Sketch of the orbital calculation of particles in the co-rotating frame. A planet is located at the origin of the frame. We calculate orbits only coming from positive xx and yy because of the symmetry. The dashed circle shows the outer radius of the hydrodynamic simulation. If the particle is within the radius, we use the gas velocity and density obtained from the hydrodynamic simulation. On the other hand, the particle is out of the radius, we use the gas velocity and density that is the same as the outer boundary conditions of the hydrodynamic simulation.

3 Results of Simulations

3.1 Hydrodynamic Simulation

Figures 2 and 3 show the flow structures in the midplane (z=0z=0) and in the plane of y=0y=0 at t=tendt=t_{\mathrm{end}}, respectively. The additional simulations for t>tendt>t_{\mathrm{end}} show that the flow structure and physical quantities almost keep constant subsequent to t=tendt=t_{\mathrm{end}}, so that the fluid is in a quasi-steady state. The characteristic structures of the gas flow formed in the simulations are similar to the previous studies (Ormel et al., 2015b; Fung et al., 2015; Lambrechts & Lega, 2017; Cimerman et al., 2017; Kurokawa & Tanigawa, 2018; Popovas et al., 2018; Kuwahara et al., 2019; Chrenko & Lambrechts, 2019; Béthune & Rafikov, 2019; Fung et al., 2019). These structures are divided into four parts. (i) The Keplerian shear streams exist the distant place from the planet (|x|0.4H|x|\gtrsim 0.4H in Fig. 2). These streamlines are almost same as the initial and outer boundary conditions, because the planet is too far to change the flow. (ii) The horseshoe flow extends along the orbital direction of the planet in the anterior-posterior direction of the planet. The U-turn flows caused by the horseshoe flow are seen in |x|0.1H|x|\lesssim 0.1H and |y|0.2H|y|\gtrsim 0.2H in Fig. 2. (iii) The vertical flow comes from high altitudes to planets, as seen in |x|0.1H|x|\lesssim 0.1H and |z|0.1H|z|\gtrsim 0.1H in Fig. 3. Of course, this result is specific to three-dimensional calculations. (iv) The atmospheric structure is formed around the planet, as seen in |r|0.1H|r|\lesssim 0.1H in Figs. 2 and 3. This region is isolated from the outer flow, which means the gas recycling does not occur. This isolated envelope is formed due to the cooling (Kurokawa & Tanigawa, 2018).

To see the atmospheric density profile we plot the density profile averaged over the azimuthal direction (ϕ\phi) in the midplane (Fig. 4). The density at r<0.1Hr<0.1H significantly increases wi th decreasing rr, while the radial density slope at r4×103Hr\lesssim 4\times 10^{-3}H becomes shallower due to the softening. In a quasi-steady state, the density profile reaches the solution of the isothermal hydrostatic equilibrium in the one-dimensional analysis (see derivation in Appendix A). It should be noted that the density enhancement around the planet occurs even for r0.1H0.3RHRBr\gtrsim 0.1H\approx 0.3R_{\rm H}\approx R_{\rm B}. Although the outer boundary of an atmosphere is conventionally set to the smaller of RHR_{\rm H} and RBR_{\rm B} (e.g., Inaba & Ikoma, 2003), the atmospheric density enhancement occurs rRHr\lesssim R_{\rm H} even if RH>RBR_{\rm H}>R_{\rm B}.

In the simulation, the density profile of the atmosphere is determined by the hydrostatic equilibrium in the cooling model that we use. The profile is different from that for the growing planet, because the β\beta cooling model is too simple. On the other hand, the cooling is effective in the vicinity of the planet. Once the closed flow pattern forms the atmosphere, the flow outside the atmosphere would be almost independent of the cooling. Taking into account our finding in the hydrodynamic simulations, we discuss the effect of the more realistic atmosphere in §5.2.

Refer to caption
Figure 2: Flow patterns in the midplane (z=0z=0) for m=0.1m=0.1 at t=150Ω1t=150\ \Omega^{-1} are shown by blue arrows and streamlines. The length of the arrows do not scale to the gas velocity. Color contour shows the gas density.
Refer to caption
Figure 3: Flow patterns in xx-zz plane (y=0y=0) for m=0.1m=0.1 at t=150Ω1t=150\ \Omega^{-1} are shown by blue arrows and streamlines. The length of the arrows do not scale to the gas velocity. Color contour shows the velocity in the radial direction.
Refer to caption
Figure 4: Gas density profile in the midplane (z=0z=0) for m=0.1m=0.1 is plotted as a function of distance from the center of the planet. The red dot shows the gas density averaged over the azimuthal direction (ϕ\phi) in the midplane for our numerical simulation. The blue dashed line corresponds to the analytical solution in Eq. (A4).

3.2 Two-dimensional Orbital Calculations

3.2.1 Example of 2D Orbits

First of all, we perform two-dimensional orbital calculations in which particles have orbits in the midplane (z=0z=0). Figure 5 shows the trajectories of the particles with different St0St_{0}.

For the large Stokes parameter, St0=1.0×1013St_{0}=1.0\times 10^{13} (Fig. 5a), the trajectories are almost the same as those in the gas-free case because particles are too large to be affected by the gas drag (Ida & Nakazawa, 1989). Particles collide with the planet for the initial positions (xsx_{\rm s}) in three discrete bands (Fig. 5a).

For St0=1.0×102St_{0}=1.0\times 10^{2} (Fig. 5b), the orbits outside the Hill sphere is almost the same as those for St0=1.0×1013St_{0}=1.0\times 10^{13}. However, the particles feel strong gas drag in the atmosphere. All the particles entering the Bondi sphere collide with the planet.

For St01St_{0}\gg 1, the orbits of particles are almost independent of St0St_{0} and similar to the gas-free ones unless r<RHr<R_{\mathrm{H}}. In the Hill sphere, the velocities of particles can be larger than the sound velocity and the gas density increases (see Fig. 4). Therefore, gas drag effectively damps the kinetic energies of particles, which induces the capture of passing particles.

For St0=1.0St_{0}=1.0 (Fig. 5c), the orbits of particles are similar to those for St0=1.0×102St_{0}=1.0\times 10^{2}. The orbits of particles in y<0y<0 are closer to the streamlines than those for St0=102St_{0}=10^{2} are. In addition, all particles entering the Hill sphere accrete onto the planet.

For St0=1.0×102St_{0}=1.0\times 10^{-2} (Fig. 5d), the orbits are the almost same as the steady streamlines in Fig. 2. The horseshoe width is much smaller than that for St01St_{0}\gtrsim 1. Particles are prevented from accreting onto the planet by the horseshoe flow and Keplerian shear flow, and the particles coming from the narrow band between the horseshoe and Keplerian shear flows are allowed to collide with the planet. This result is consistent with previous studies (Popovas et al., 2018; Kuwahara & Kurokawa, 2020a, b; Homma et al., 2020).

Figure 5: Trajectories of particles with different Stokes parameter for m=0.1m=0.1 are shown by solid lines. We restrict the motion of particles to 2D. The red and blue lines show the trajectories of particles that do and do not collide with the planet, respectively. The outer dotted and inner black circles are the Hill sphere and the Bondi sphere, respectively. The interval of orbits at the starting points is 0.01H0.01H.

3.2.2 2D Collision Rate

We calculate the two-dimensional specific collision rate, Pcol=Pcol,2DP_{\mathrm{col}}=P_{\mathrm{col,2D}}, based on the orbital calculations. The definition of Pcol,2DP_{\mathrm{col,2D}} is given by

Pcol,2D=20Φ(xs)|v0,y|𝑑xs=3Ω0Φ(xs)xs𝑑xs,P_{\mathrm{col},2D}=2\int_{0}^{\infty}\Phi(x_{\mathrm{s}})|v_{0,y}|dx_{\mathrm{s}}=3\Omega\int_{0}^{\infty}\Phi(x_{\mathrm{s}})x_{\mathrm{s}}dx_{\mathrm{s}}, (31)

where Φ(xs)=1\Phi(x_{\mathrm{s}})=1 if the particle collides with the planet and zero otherwise, and v0,yv_{0,y} is yy-component of the initial velocity in Eq. (28). In order to account for the collision from both positive xsx_{\rm s} and negative xsx_{\rm s}, we multiply the integral over positive xsx_{\rm s} by two.

Figure 6 shows the collision rate for m=0.1m=0.1 as a function of St0St_{0}. For St01012St_{0}\gtrsim 10^{12}, the collision rate converges to a constant value, which is the same as the gas-free limit (Ida & Nakazawa, 1989; Inaba et al., 2001).

For St01St_{0}\gtrsim 1, the collision rate increases with decreasing St0St_{0}. For large St0St_{0}, particles are scattered away due to close encounters with the planet, so that Pcol,2DP_{\mathrm{col,2D}} is small. However for small St0St_{0}, particles feel strong gas drag during close encounters because of high atmospheric density. Our hydrodynamic simulations indicate that density enhancement occurs even at rRBr\gtrsim R_{\rm B} if r<RHr<R_{\rm H} (see Fig. 4). For 1St01021\lesssim St_{0}\lesssim 10^{2}, particles can be captured at the outer edge of the atmosphere, rRHr\sim R_{\rm H}. In addition, a close encounter with the planet accelerates the velocity, which can exceed the sound velocity. The super-sonic gas drag effectively reduces the kinetic energy prior to scattering. Particles are then captured by atmosphere, which enhances Pcol,2DP_{\mathrm{col,2D}} (Inaba & Ikoma, 2003).

For St01St_{0}\lesssim 1, Pcol,2DP_{\mathrm{col,2D}} decreases with decreasing St0St_{0}. Small particles are well coupled to the gas. The flow pattern of the gas due to horseshoe and Keplerian shear limits the accretion of particles onto the planet (see Fig. 5d). Therefore, the collision rate sharply decreases with decreasing St0St_{0}.

Refer to caption
Figure 6: Two-dimensional specific collision rate, Pcol,2DP_{\mathrm{col,2D}}, for m=0.1m=0.1 as a function of St0St_{0} given by Eq. (25). Red dots represent the collision rate obtained from the hydrodynamic and orbital calculations. The blue solid and yellow dashed lines indicate the detailed and simple analytical solutions given in Table 2, respectively.

3.3 Three-dimensional Orbital Calculations

3.3.1 Example of 3D Orbits

First, we show the case of large particles (for St0>1St_{0}>1). For iasia_{\rm s} or z0z_{0} RH\ll R_{\rm H}, the 3D orbits projected on the xx-yy plane are almost the same as the 2D orbits. Figure 7a shows the orbits of particles projected on the yy-zz plane for St0=1.0×103St_{0}=1.0\times 10^{3}. For iRH/asi\gg R_{\rm H}/a_{\rm s}, particles pass through the planet. Particles passing near the planet can be accreted onto the planet.

Figure 7b shows the orbits of the smaller particles projected on the yy-zz plane for St0=1.0×102St_{0}=1.0\times 10^{-2}. Particles can be accreted if they pass near the planet as well as the case of St01St_{0}\gtrsim 1.

Figure 7: Trajectories of particles for different z0z_{0} with interval 0.02H0.02\ {\rm H} projected on the yy-zz plane are shown by the solid lines for St0=1.0×103St_{0}=1.0\times 10^{3} with xs=0.75Hx_{\rm s}=0.75\ H (a) and for St0=1.0×102St_{0}=1.0\times 10^{-2} with xs=0.33Hx_{\rm s}=0.33\ H (b). The colors of solid lines and the outer dotted and inner circles are the same as Fig. 5. Note that the ranges of zz are different in Pannels (a) and (b).

3.3.2 3D Collision Rate

We calculate the three-dimensional specific collision rate. We then need the vertical distribution of particles for the calculation.

For St0>1St_{0}>1, we set the Rayliegh type distribution for inclinations (Ida & Makino, 1992). Assuming the random orbital phases, we obtain the collision rate as,

Pcol,3D(i)=6Ωπi200π0z0,max/asΦ(xs,i,ω)xsi\displaystyle P_{\rm col,3D}(i^{*})=\frac{6\Omega}{\pi i^{*2}}\int_{0}^{\infty}\int_{0}^{\pi}\int_{0}^{z_{0,\mathrm{max}}/a_{\rm s}}\Phi(x_{\rm s},i,\omega)x_{\rm s}i
×exp(i2i2)dxsdωdi\displaystyle\times\mathrm{exp}\left(-\frac{i^{2}}{i^{*2}}\right)dx_{\rm s}d\omega di
, (32)

where ii^{*} is the dispersion of ii and z0,maxz_{0,\mathrm{max}} is the upper limit of z0z_{0}. Note that the vertical distribution of particles under this assumption corresponds to a Gaussian distribution for z0z_{0} with the scale hight of asi/2a_{\rm s}i^{*}/\sqrt{2} (see Appendix B).

For St0<1St_{0}<1, we assume the Gaussian distribution function of z0z_{0}. The collision rate is given by

Pcol,3D(Hd)=3Ω2πHd00Φ(xs,z0)\displaystyle P_{\rm col,3D}(H_{\rm d})=\frac{3\Omega}{\sqrt{2\pi}H_{\rm d}}\int_{0}^{\infty}\int_{0}^{\infty}\Phi(x_{\rm s},z_{0})
×xsexp(z022Hd2)dxsdz0,\displaystyle\times x_{\rm s}\mathrm{exp}\left(-\frac{z_{0}^{2}}{2H_{\rm d}^{2}}\right)dx_{\rm s}dz_{0}, (33)

where HdH_{\rm d} is the scale hight of particles.

Figure 8 shows Pcol,3D(i)P_{\rm col,3D}(i^{*}) for St0>1.0St_{0}>1.0 as a function of Hd=asi/2H_{\mathrm{d}}=a_{\rm s}i^{*}/\sqrt{2}, using the relation between HdH_{\rm d} and ii^{*} given in Eq. (B6). For HdRHH_{\rm d}\ll R_{\mathrm{H}}, Pcol,3DP_{\rm col,3D} is independent of HdH_{\rm d} and almost the same as Pcol,2DP_{\rm col,2D}. For HdRHH_{\rm d}\gg R_{\mathrm{H}}, Pcol,3DP_{\rm col,3D} decreases with HdH_{\rm d}. This is caused by the passing by without collisions for high inclination particles (see Fig. 7a).

Figure 9 shows Pcol,3D(Hd)P_{\rm col,3D}(H_{\rm d}) for St0<1.0St_{0}<1.0. The dependence of Pcol,3DP_{\rm col,3D} on HdH_{\rm d} is similar to that for St0>1St_{0}>1. For St0=0.003St_{0}=0.003, Pcol,3D(Hd)P_{\rm col,3D}(H_{\rm d}) increases around the Hd=RHH_{\rm d}=R_{\rm H}. This increase is caused by the vertical gas flow that enters from high latitudes as seen in Fig. 3 (see also Kuwahara & Kurokawa, 2020a).

Refer to caption
Figure 8: Three-dimensional specific collision rates, Pcol,3DP_{\rm col,3D}, for m=0.1m=0.1 as a function of the particle scale hight Hd=ai/2H_{\rm d}=ai^{*}/\sqrt{2}, where ii^{*} is the dispersion of inclinations and aa is the semimajor axis of the planet. Dots represent the collision rates obtained via the hydrodynamic and orbital simulations for St0=103St_{0}=10^{3}(red), 10710^{7}(green), 101310^{13}(blue). Dashed lines indicate the analytical solutions given in Table 2. The vertical solid black line is the Hill radius for reference.
Refer to caption
Figure 9: Same as Fig. 8 but for St0<1St_{0}<1.

4 Analytic Formulae for PcolP_{\rm col}

4.1 Analytic Formula of the 2D Collision Rate

In this subsection, we derive the analytic formulae for the two-dimensional collision rate. The dominant effects determining the accretion rate depend on St0St_{0}. Therefore, we give different assumptions depending on St0St_{0} to derive analytic formulae below. In §. 4.1.1, we introduce the previous study for the analytic formula without gas drag. In §. 4.1.2, we consider the atmospheric capture regime, where particles with St01St_{0}\gtrsim 1 entering atmospheres are captured due to the energy losses by gas drag in atmospheres. In §. 4.1.3, we consider particles with St01St_{0}\lesssim 1 settle down to a planet with terminal velocities during a close encounter with the planet. In §. 4.1.4, we consider particles with St01St_{0}\ll 1 are strongly affected by the horseshoe and shear flows of gas.

4.1.1 Gas Free Limit

First, we confirm the analytic formula in the gas free limit that means particles and St0St_{0} are extremely large. The two-dimensional collision rate for the gas-free limit was derived in the previous studies, given by (Ida & Nakazawa, 1989; Inaba et al., 2001)

Pcol,free0(Rpl)RH2Ω=11.3Rpl/RH,\frac{P_{\mathrm{col},\mathrm{free}0}(R_{\rm pl})}{R_{\mathrm{H}}^{2}\Omega}=11.3\sqrt{R_{\mathrm{pl}}/R_{\mathrm{H}}}, (34)

where RplR_{\mathrm{pl}} is the radius of the planet. This formula is in agreement with our simulations for the huge Stokes number. Note that Eq. (34) is valid for RplRHR_{\rm pl}\ll R_{\rm H}. We improve the formula for RplRHR_{\rm pl}\sim R_{\rm H} in §4.1.2.

4.1.2 Atmospheric Capture

Second, we derive the analytic formula for the atmospheric capture regime. Particles entering planetary atmosphere have high velocities due to planetary gravity. We estimate the terminal velocity of particles at r=RBr=R_{\mathrm{B}} as

u\displaystyle u \displaystyle\sim GMpRB2St0Ω\displaystyle\frac{GM_{\mathrm{p}}}{R_{\rm B}^{2}}\frac{St_{0}}{\Omega} (35)
=\displaystyle= St0mcs.\displaystyle\frac{St_{0}}{m}c_{\mathrm{s}}.

For St0mSt_{0}\gtrsim m, the velocity can be greater than the sound velocity, so that the super-sonic gas drag given by the second term in Eq. (23) is effective in the atmosphere.

The kinetic energies of particles are damped by gas drag in the atmosphere. Once the particles’ energies are smaller than the gravitational energy at the Hill radius, the orbits of the particles are bound by the planet. The kinetic energy at infinity is negligible. The condition for capture of particles is then given by

ΔE<GMpmpRH,\Delta E<-\frac{GM_{\mathrm{p}}m_{\mathrm{p}}}{R_{\mathrm{H}}}, (36)

where ΔE\Delta E is the energy loss due to gas drag in the atmosphere. We estimate ΔE\Delta E from the integral of the energy loss along the particle orbit in the atmosphere with radius RatmR_{\rm atm}, given by

ΔE(q)\displaystyle\Delta E(q) \displaystyle\approx ζπrp2ρatm(r)u3𝑑t\displaystyle-\zeta\int\pi r_{\mathrm{p}}^{2}\rho_{\mathrm{atm}}(r)u^{3}\ dt
=\displaystyle= 4ζπGMprp2qRatmρatm(r)r(rq)𝑑r,\displaystyle-4\zeta\pi GM_{\mathrm{p}}r_{\mathrm{p}}^{2}\int^{R_{\mathrm{atm}}}_{q}\frac{\rho_{\mathrm{atm}}(r)}{\sqrt{r(r-q)}}\ dr,

where ζ\zeta is the number of close encounters between the planet and the particle and we assume a parabolic orbit with pericenter distance qq for the particle and then we use the relations u2=2GMp/ru^{2}=2GM_{\rm p}/r and dr/dt=2GMp(rq)/rdr/dt=\sqrt{2GM_{\rm p}(r-q)}/r for the derivation. We multiply two because the integral range is the half of a parabola. The number of close encounters and the atmospheric radius are determined according to our simulation and we adopt ζ=2\zeta=2 and Ratm=0.5RHR_{\rm atm}=0.5\ R_{\rm H}. The following condition gives the captured radius RcapR_{\mathrm{cap}}

ΔE(Rcap)=GMpmpRH.\Delta E(R_{\mathrm{cap}})=-\frac{GM_{\mathrm{p}}m_{\mathrm{p}}}{R_{\mathrm{H}}}. (38)

We derive RcapR_{\mathrm{cap}} satisfing Eq. (38).

According to Inaba & Ikoma (2003), we obtain PcolP_{\rm col} from Pcol,free0P_{\rm col,free0} using RcapR_{\rm cap} instead of RplR_{\rm pl}. However, Pcol,free0P_{\rm col,free0} is valid for RplRHR_{\rm pl}\ll R_{\rm H}. Figure 10 shows the collision rate in the gas-free case as a function of the planetary radius. For Rpl>0.05RHR_{\rm pl}>0.05R_{\rm H}, we obviously need to modify the formula. Therefore, we give the collision rate

Pcol,free=MIN[MAX(Pcol,free0,Pcol,free1),Pcol,free2],P_{\mathrm{col},\mathrm{free}}=\mathrm{MIN}\left[\mathrm{MAX}\left(P_{\rm col,free0},\ P_{\rm col,free1}\right),\ P_{\rm col,free2}\right], (39)

where

Pcol,free1(Rpl)RH2Ω\displaystyle\frac{P_{\rm col,free1}(R_{\rm pl})}{R_{\rm H}^{2}\Omega} =\displaystyle= 1.06×103(Rpl/RH)2,\displaystyle 1.06\times 10^{3}(R_{\rm pl}/R_{\rm H})^{2}, (40)
Pcol,free2(Rpl)RH2Ω\displaystyle\frac{P_{\rm col,free2}(R_{\rm pl})}{R_{\rm H}^{2}\Omega} =\displaystyle= 4.66(Rpl/RH)0.15.\displaystyle 4.66(R_{\rm pl}/R_{\rm H})^{0.15}. (41)

For the atmospheric collision rate, we use RcapR_{\rm cap} instead of RplR_{\rm pl} and then obtain

Pcol,atm=Pcol,free(Rcap).P_{\rm col,atm}=P_{\rm col,free}(R_{\rm cap}). (42)
Refer to caption
Figure 10: Pcol,2DP_{\rm col,2D} is shown as a function of the planetary radius in the gas-free case.

4.1.3 Settling

Third, we derive the analytic formula for the settling regime. There are two regimes for settling; the cases of the supersonic gas drag and the Stokes gas drag.

For St01St_{0}\lesssim 1, Ormel & Klahr (2010) derived PcolP_{\rm col} for constant StSt in the Keplerian shear flow. They obtained the analytic formula by comparing the encounter time with the settling time. For a particle with an impact parameter xsx_{\rm s}, the encounter time is estimated to be tenc=xs/|v0,y|t_{\mathrm{enc}}=x_{\rm s}/|v_{0,y}|, where |v0,y|=3Ωxs/2|v_{0,y}|=3\Omega x_{\rm s}/2 is the encounter velocity. The settling time needed for particles to settle down to the planet is given by tset=xs/utermt_{\mathrm{set}}=x_{\rm s}/u_{\mathrm{term}}, where utermu_{\mathrm{term}} is the terminal velocity determined by the force balance between the gravitational force and gas drag.

As explained above, for St0mSt_{0}\gtrsim m, the velocity of the particle approaching the planet exceeds the sound velocity, so that the supersonic gas drag, the second term in Eq. (23), is effective. The equation of force balance between the gravity and gas drag is given by

GMpmpr2=πrp2ρguterm2,\frac{GM_{\mathrm{p}}m_{\mathrm{p}}}{r^{2}}=\pi r_{\mathrm{p}}^{2}\rho_{\mathrm{g}}u_{\mathrm{term}}^{2}, (43)

so that the terminal velocity is expressed by

uterm=4GMpρp3ρgxs2(9ρgcslmfp4ρpSt0Ω)1/4.u_{\mathrm{term}}=\sqrt{\frac{4GM_{\mathrm{p}}\rho_{\mathrm{p}}}{3\rho_{\mathrm{g}}x_{\rm s}^{2}}}\left(\frac{9\rho_{\mathrm{g}}c_{\mathrm{s}}l_{\mathrm{mfp}}}{4\rho_{\mathrm{p}}}\frac{St_{0}}{\Omega}\right)^{1/4}. (44)

For tenctsett_{\rm enc}\gtrsim t_{\rm set}, particles are accreted onto the planets. The accretion condition is given as

C1xs|v0,y|>xsuterm,C_{1}\frac{x_{\rm s}}{|v_{0,y}|}>\frac{x_{\rm s}}{u_{\mathrm{term}}}, (45)

where C1C_{1} is the constant value on the order of unity. The impact parameter xsx_{\rm s} required for the settling is given by

xs<xss=(83)1/4C1(ρpρgcsRHΩlmfpRHSt0)1/8RH.x_{\rm s}<x_{\rm ss}=\left(\frac{8}{3}\right)^{1/4}\sqrt{C_{1}}\left(\frac{\rho_{\mathrm{p}}}{\rho_{\mathrm{g}}}\frac{c_{\mathrm{s}}}{R_{\mathrm{H}}\Omega}\frac{l_{\mathrm{mfp}}}{R_{\mathrm{H}}}St_{0}\right)^{1/8}R_{\rm H}. (46)

If xssx_{\rm ss} is much larger than the half width of the horseshoe orbit, PcolP_{\rm col} is given by

Pcol=3Ωxss2.P_{\rm col}=3\Omega x_{\rm ss}^{2}. (47)

Using Eqs. (46) and (47), we obtain

Pcol,ssRH2Ω=26C1(ρpρgcsRHΩlmfpRHSt0)1/4.\frac{P_{\mathrm{col},\mathrm{ss}}}{R_{\mathrm{H}}^{2}\Omega}=2\sqrt{6}C_{1}\left(\frac{\rho_{\mathrm{p}}}{\rho_{\mathrm{g}}}\frac{c_{\mathrm{s}}}{R_{\mathrm{H}}\Omega}\frac{l_{\mathrm{mfp}}}{R_{\mathrm{H}}}St_{0}\right)^{1/4}. (48)

On the other hand, if the terminal velocity of particles is smaller than the sound speed, we consider StSt0St\approx St_{0} even in the encounter. In that case, the Stokes gas drag, the first term in Eq. (23), is effective. The terminal velocity is given by

uterm=GMpr2St0Ω.u_{\mathrm{term}}=\frac{GM_{\mathrm{p}}}{r^{2}}\frac{St_{0}}{\Omega}. (49)

Same as above, Eq. (49) gives

xss=(2C1St0)1/3RH.x_{\rm ss}=(2C_{1}St_{0})^{1/3}R_{\mathrm{H}}. (50)

Using Eqs. (47) and (50), we obtain the collision rate,

Pcol,setRH2Ω=3(2C1St0)2/3.\frac{P_{\mathrm{col},\mathrm{set}}}{R_{\mathrm{H}}^{2}\Omega}=3\left(2C_{1}St_{0}\right)^{2/3}. (51)

According to the our simulations, C1=1.5C_{1}=1.5.

4.1.4 Effects of the Horseshoe and Outflow around the Bondi Radius

Finally, we derive the analytic formula considering the effects of the horseshoe and outflow around the Bondi radius. In our simulation, the outflow with a few percent of the sound speed is found around the Bondi radius, as shown in the previous study (Kuwahara et al., 2019). For smaller St0St_{0}, the horseshoe and outflow around the Bondi radius is effective. The collision rate is then given by Pcol=2Δxs|v0,y|P_{\mathrm{col}}=2\Delta x_{\rm s}|v_{0,y}|, where Δxs=|xssrHS|\Delta x_{\rm s}=|x_{\rm ss}-r_{\mathrm{HS}}| is the difference between the impact parameter and the half horseshoe width rHSr_{\mathrm{HS}}. The particles passing around rRBr\sim R_{\rm B} are accreted onto the planet if they can enter the Bondi radius (see Fig. 5d). We consider the passing particles are distributed from r=RBr=R_{\rm B} to r=RB+Δrr=R_{\rm B}+\Delta r. The mass conservation gives Δxs|v0,y|=Δrvθ\Delta x_{\rm s}|v_{0,y}|=\Delta rv_{\theta}. If the particle at r=RB+Δrr=R_{\rm B}+\Delta r enters the Bondi radius with the radial drift of Δr\Delta r during the encounter, the particle then accrete onto the planet. Therefore, the accretion condition is given by the passing time comparable to or longer than the drift time; RB/vθΔr/vrR_{\rm B}/v_{\theta}\gtrsim\Delta r/v_{r}. We thus estimate PcolP_{\rm col} as

Pcol=2RBvr.P_{\rm col}=2R_{\rm B}v_{r}. (52)

Assuming the outflow velocity of ξcs\xi c_{\rm s} with ξ1\xi\ll 1, vrv_{r} is expressed by the terminal velocity utermu_{\rm term} and the outflow velocity ξcs\xi c_{\rm s}, given by

vr=GMPr2St0Ωξcs.v_{r}=\frac{GM_{\rm P}}{r^{2}}\frac{St_{0}}{\Omega}-\xi c_{\rm s}. (53)

Using Eqs. (52) and (53), we obtain

Pcol,hoRH2Ω=2RBRH[3St0(RB/RH)2ξ3(RB/RH)].\frac{P_{\mathrm{col},\mathrm{ho}}}{R_{\mathrm{H}}^{2}\Omega}=2\frac{R_{\mathrm{B}}}{R_{\mathrm{H}}}\left[\frac{3St_{0}}{\left(R_{\mathrm{B}}/R_{\mathrm{H}}\right)^{2}}-\xi\sqrt{\frac{3}{\left(R_{\mathrm{B}}/R_{\mathrm{H}}\right)}}\right]. (54)

We adopt ξ=0.1m\xi=0.1m, based on the results of hydrodynamic simulations for m=0.030.1m=0.03-0.1. Note that the radial outflow velocity determined by ξ\xi is much smaller than the flow velocity around rRBr\sim R_{\rm B} derived by Kuwahara et al. (2019). We use the mm dependence of ξ\xi given by their formula.

4.2 Analytic Formulae of 3D Collision Rates

In this subsection, we focus on the three-dimensional specific collision rate.

For St0>1St_{0}>1, the ii^{*} dependence of PcolP_{\rm col} is given in Inaba et al. (2001). Here, we consider the capture radius instead of the planetary radius according to §4.1.2 (e.g., Inaba & Ikoma, 2003). We then obtain

Pcol,3D(i)RH2Ω\displaystyle\frac{P_{\mathrm{col,3D}}(i^{*})}{R_{\mathrm{H}}^{2}\Omega} =\displaystyle= {(Pcol,2DRH2Ω)2\displaystyle\left\{\left(\frac{P_{\rm col,2D}}{R_{\mathrm{H}}^{2}\Omega}\right)^{-2}\right. (55)
+[Rcap24πaiRH(17.3+232RHRcap)]2}1/2,\displaystyle\left.+\left[\frac{R_{\rm cap}^{2}}{4\pi ai^{*}R_{\mathrm{H}}}\left(17.3+\frac{232R_{\mathrm{H}}}{R_{\rm cap}}\right)\right]^{-2}\right\}^{-1/2},

where RcapR_{\rm cap} is the captured radius obtained from Eq. (38).

For St0<1St_{0}<1, Pcol,3DPcol,2DP_{\rm col,3D}\approx P_{\rm col,2D} for HdRHH_{\rm d}\ll R_{\rm H}, while Pcol,3Dxss/HdP_{\rm col,3D}\propto x_{\rm ss}/H_{\rm d} for HdRHH_{\rm d}\gg R_{\rm H} (see Fig. 9). Therefore, we empirically give

Pcol,3D(Hd)=[(Pcol,2D)2+(Pcol,2Dxss0.65Hd)2]1/2,P_{\mathrm{col,3D}}(H_{\rm d})=\left[\left(P_{\mathrm{col,2D}}\right)^{-2}+\left(P_{\mathrm{col,2D}}\frac{x_{\rm ss}}{0.65H_{\mathrm{d}}}\right)^{-2}\right]^{-1/2}, (56)

where Pcol,2DP_{\rm col,2D} is given by the smallest of Eqs. (48), (51), and (54) and xssx_{\rm ss} is determined accordingly (see Table 2). If Pcol,2DP_{\rm col,2D} is given by Eq. (54), we set xss=2RBx_{\rm ss}=2R_{\rm B}.

Figures 8, 9, 11, and 12 show the analytical solution and simulation results. These formulae are in agreement with our simulation for almost all Stokes numbers, but for St0=0.003St_{0}=0.003 in m=0.1m=0.1 the mean collision rate is underestimated for HdRHH_{\rm d}\gtrsim R_{\rm H}. This is the result of vertical gas flow that enters from high latitudes (Kuwahara & Kurokawa, 2020a; Homma et al., 2020). This flow brings the particle that accretes onto the planet, so that the collision rate is maintained or increased.

4.3 Summary of Equations for PcolP_{\rm col}

In the following equations, we summarize the two dimensional collision rate.

Pcol,2D=MIN(Pcol,atm,Pcol,ss,Pcol,set,Pcol,ho),P_{\rm col,2D}={\rm MIN}(P_{\rm col,atm},\ P_{\rm col,ss},\ P_{\rm col,set},\ P_{\rm col,ho}), (57)

where

Pcol,atm\displaystyle P_{\mathrm{col},\mathrm{atm}} =\displaystyle= Pcol,free(Rcap),\displaystyle P_{\rm col,free}(R_{\rm cap}), (58)
Pcol,ssRH2Ω\displaystyle\frac{P_{\mathrm{col},\mathrm{ss}}}{R_{\mathrm{H}}^{2}\Omega} =\displaystyle= 26C1(ρpρgcsRHΩlmfpRHSt0)1/4,\displaystyle 2\sqrt{6}C_{1}\left(\frac{\rho_{\mathrm{p}}}{\rho_{\mathrm{g}}}\frac{c_{\mathrm{s}}}{R_{\mathrm{H}}\Omega}\frac{l_{\mathrm{mfp}}}{R_{\mathrm{H}}}St_{0}\right)^{1/4}, (59)
Pcol,setRH2Ω\displaystyle\frac{P_{\mathrm{col},\mathrm{set}}}{R_{\mathrm{H}}^{2}\Omega} =\displaystyle= 3(2C1St0)2/3,\displaystyle 3\left(2C_{1}St_{0}\right)^{2/3}, (60)
Pcol,hoRH2Ω\displaystyle\frac{P_{\mathrm{col},\mathrm{ho}}}{R_{\mathrm{H}}^{2}\Omega} =\displaystyle= 2RBRH[3St0(RB/RH)2ξ3(RB/RH)],\displaystyle 2\frac{R_{\mathrm{B}}}{R_{\mathrm{H}}}\left[\frac{3St_{0}}{\left(R_{\mathrm{B}}/R_{\mathrm{H}}\right)^{2}}-\xi\sqrt{\frac{3}{\left(R_{\mathrm{B}}/R_{\mathrm{H}}\right)}}\right],

Pcol,free(Rcap)P_{\rm col,free}(R_{\rm cap}) is given in Eq. (39). Figures 6, 11, and 12 show the analytical solution and simulation results for m=0.1m=0.1, 0.050.05, and 0.030.03, respectively. Our analytic formulae are in agreement with our simulation.

If you feel the formula for Pcol,freeP_{\rm col,free} in Pcol,atmP_{\rm col,atm} is complicated, Pcol,atmP_{\rm col,atm} can be simple by setting the planetary radius RplR_{\rm pl} to the capture radius RcapR_{\rm cap} in Eq. (34), thus

Pcol,atmRH2Ω=11.3MIN(Rcap/RH,1/8).\frac{P_{\mathrm{col},\mathrm{atm}}}{R_{\mathrm{H}}^{2}\Omega}=11.3\sqrt{{\rm MIN}(R_{\rm cap}/R_{\rm H},1/8)}. (62)

Although the maximum of RcapR_{\rm cap} is much larger than RH/8R_{\rm H}/8, the simple formula overestimates PcolP_{\rm col} for large RcapR_{\rm cap} so that we give the upper limit Rcap=RH/8R_{\rm cap}=R_{\rm H}/8 in Eq. (62). The simple formula is shown by the yellow dashed lines in Figs. 6, 11, and 12 and almost same as the more accurate formula.

If the vertical distribution is wide enough (HdRHH_{\rm d}\gtrsim R_{\rm H}), we need the three-dimensional specific collision rate Pcol,3DP_{\rm col,3D}. For St0>1St_{0}>1, Pcol,2DPcol,atmP_{\rm col,2D}\approx P_{\rm col,atm} and the vertical distribution of particles is determined by orbital inclinations ii. For ii^{*}, the dispersion of ii, Pcol,3DP_{\rm col,3D} is given by

Pcol,3D(i)RH2Ω\displaystyle\frac{P_{\mathrm{col,3D}}(i^{*})}{R_{\mathrm{H}}^{2}\Omega} =\displaystyle= {(Pcol,2DRH2Ω)2\displaystyle\left\{\left(\frac{P_{\rm col,2D}}{R_{\mathrm{H}}^{2}\Omega}\right)^{-2}\right. (63)
+[Rcap24πaiRH(17.3+232RHRcap)]2}1/2,\displaystyle\left.+\left[\frac{R_{\rm cap}^{2}}{4\pi ai^{*}R_{\mathrm{H}}}\left(17.3+\frac{232R_{\mathrm{H}}}{R_{\rm cap}}\right)\right]^{-2}\right\}^{-1/2},

where ii^{*} is related to the scale hight HdH_{\rm d} as i=2Hd/ai^{*}=\sqrt{2}H_{\rm d}/a (See Eq. B6). On the other hand, for St0<1St_{0}<1, PcolP_{\rm col} is determined by Pcol,ssP_{\rm col,ss}, Pcol,setP_{\rm col,set}, or Pcol,hoP_{\rm col,ho} and Pcol,3D(Hd)P_{\rm col,3D}(H_{\rm d}) is given by

Pcol,3D(Hd)=[(Pcol,2D)2+(Pcol,2Dxss0.65Hd)2]1/2,P_{\mathrm{col,3D}}(H_{\rm d})=\left[\left(P_{\mathrm{col,2D}}\right)^{-2}+\left(P_{\mathrm{col,2D}}\frac{x_{\rm ss}}{0.65H_{\mathrm{d}}}\right)^{-2}\right]^{-1/2}, (64)

where xssx_{\rm ss} is given by Eq. (46) if Pcol,2D=Pcol,ssP_{\rm col,2D}=P_{\rm col,ss}, xssx_{\rm ss} is given by Eq. (50) if Pcol,2D=Pcol,setP_{\rm col,2D}=P_{\rm col,set}, and xss=2RBx_{\rm ss}=2R_{\rm B} if Pcol,2D=Pcol,hoP_{\rm col,2D}=P_{\rm col,ho}.

We compare the analytic formula for m=0.1m=0.1, 0.050.05, and 0.030.03 in Figs. 8, 9, 11, and 12. The formula is in agreement with simulations for m=0.030.1m=0.03-0.1.

Table 2 shows the summary of how the collision rate PcolP_{\rm col} can be obtained.

Table 2: Summary of calculating the analytic collision rate.
Pcol,2DP_{\rm col,2D}
1. Determine the size or stopping time of a particle: Eq. (25)
2. Calculate the capture radius RcapR_{\rm cap}: Eqs. (LABEL:eq:dele) and (38)
3. Calculate Pcol,2DP_{\rm col,2D} in different regimes : Pcol,atmP_{\rm col,atm}   Eq. (58) or Eq. (62)
Pcol,ssP_{\rm col,ss}   Eq. (59)
Pcol,setP_{\rm col,set}   Eq. (60)
Pcol,hoP_{\rm col,ho}   Eq. (LABEL:eq:pcolhosum)
4. Result of Pcol,2DP_{\rm col,2D}: Pcol,2D=P_{\rm col,2D}= MIN(Pcol,atmP_{\rm col,atm}, Pcol,ssP_{\rm col,ss}, Pcol,setP_{\rm col,set}, Pcol,hoP_{\rm col,ho})
Pcol,3DP_{\rm col,3D}
5. Determine the distribution of particles: iorHdi^{*}\ {\rm or}\ H_{\rm d} (i=2Hd/ai^{*}=\sqrt{2}H_{\rm d}/a)
6. Calculate the impact parameter xssx_{\rm ss} : Eq. (46) if Pcol,2D=Pcol,ssP_{\rm col,2D}=P_{\rm col,ss}
Eq. (50) if Pcol,2D=Pcol,setP_{\rm col,2D}=P_{\rm col,set}
xss=2RBx_{\rm ss}=2R_{\rm B} if Pcol=Pcol,hoP_{\rm col}=P_{\rm col,ho}
7. Result of Pcol,3DP_{\rm col,3D}: Eq. (63) if Pcol,2D=Pcol,atmP_{\rm col,2D}=P_{\rm col,atm}
Eq. (64) otherwise
Figure 11: The same as Figs. 6, 8, and 9, but for m=0.05m=0.05.
Figure 12: The same as Figs. 6, 8, and 9, but for m=0.03m=0.03.

5 Discussion

5.1 Comparison with Previous Studies

We derive the analytic solutions for the collision rates. These formulae are improved comparing to the previous studies, as explained below.

Large particles are captured via planetary atmosphere. Protoplanets larger than the Moon can have an atmosphere (e.g., Mizuno et al., 1978). Inaba & Ikoma (2003) obtained the analytic formula for PcolP_{\rm col} using the capture radius RcapR_{\rm cap} instead of the planetary radius, RplR_{\rm pl}. They set the atmospheric outer boundary is given by RBR_{\rm B} if RB<RHR_{\rm B}<R_{\rm H}. However, the hydrodynamic simulation shows the atmospheric radius, inside which the density is enhanced, is given by the Hill radius rather than by the Bondi radius (see Fig. 4), resulting in RcapRHR_{\rm cap}\sim R_{\rm H} for small particles. However, their formula overestimates PcolP_{\rm col} for RcapRHR_{\rm cap}\sim R_{\rm H}, because Eq. (34) is valid only for RcapRHR_{\rm cap}\ll R_{\rm H}. As discussed in §4.1.2, we thus improve the formula for RcapRHR_{\rm cap}\sim R_{\rm H}. On the other hand, Inaba & Ikoma (2003) considered a single encounter. Multiple encounters are important for RcapRplR_{\rm cap}\sim R_{\rm pl} so that we take into account the effect (see Eq. LABEL:eq:dele).

We consider the super-sonic gas drag as well as the Stokes gas drag. In the previous studies for St0<1St_{0}<1, mainly the Stokes or Epstein gas drag law were considered for discussing the pebble accretion. However, the velocity of the particles can be greater than the sound velocity, so that the super-sonic gas drag is effective (see Eq. 35). We derive the analytic solution for St01St_{0}\sim 1 considering the super-sonic gas drag. This solution enables smooth connection of analytic solutions, between the atmospheric and settling regimes.

For the even smaller particles (St01St_{0}\ll 1), the flow pattern of the gas due to horseshoe and Keplerian shear limits the accretion of particles onto the planet, as pointed out in the previous studies (Popovas et al., 2018; Kuwahara & Kurokawa, 2020a, b; Homma et al., 2020). We derive the analytic solution, considering the flow effect. For the three-dimensional case, the vertical gas flow enters from high latitudes. Thus, particles can accrete onto the planet from high latitudes. This three-dimensional effect is also shown in the previous studies. Taking into account the effect, we derive the analytical formula for the vertical distribution dependence of PcolP_{\rm col} (see §4.2).

5.2 Collision Rate for Realistic Atmosphere

In our simulation, the density of the atmosphere is unrealistic because the density profile reaches the hydrostatic isothermal solution and becomes shallower in the vicinity of the planet due to the softening. As showed above, the density profile is consistent with the hydrostatic equilibrium in rRHr\lesssim R_{\rm H} (see Fig. 4). Therefore, adopting the hydrostatic density profile of the atmosphere according to the accretion heating and the opacity, we then obtain realistic PcolP_{\rm col}. In this subsection, we calculate the analytic collision rate using the more realistic density profile for the atmpsphere than that obtained by the simulation.

We consider low opacity atmospheres, where the energy transportation is dominated by radiation rather than convection. For rRBr\ll R_{\rm B}, the analytical atmospheric density profile is approximately given by (Inaba & Ikoma, 2003; Kobayashi et al., 2011)

ρatm=πσSB12κLe(GMpμmHkB)41r3,\rho_{\rm atm}=\frac{\pi\sigma_{\rm SB}}{12\kappa L_{\rm e}}\left(\frac{GM_{\rm p}\mu m_{\rm H}}{k_{\rm B}}\right)^{4}\frac{1}{r^{3}}, (65)

where κ\kappa is the opacity of the atmosphere, kBk_{\rm B} is the Boltzmann constant, and σSB\sigma_{\rm SB} is the Stefan-Boltzmann constant. The planetary luminosity LeL_{\rm e} mainly comes from the accretion of bodies. We assume

Le=GMpRpldMpdt.L_{\rm e}=\frac{GM_{\rm p}}{R_{\rm pl}}\frac{dM_{\rm p}}{dt}. (66)

We calculate RcapR_{\rm cap} according to the density profile given in Eq. (65) and then obtain PcolP_{\rm col} from our analytic formula.

Figure 13 shows the analytical two-dimensional specific collision rates (Table 2) for the more realistic density profile, assuming dMp/dt=1×106Myr1dM_{\rm p}/dt=1\times 10^{-6}M_{\oplus}{\rm yr}^{-1}. The density profile in Eq. (65) with κ=0.01cm2g1\kappa=0.01\ {\rm cm}^{2}\ {\rm g}^{-1} is similar to the Eq. (A4) so that the collision rate is similar to our simulation (Fig. 13). For the planet formation, the accretion rate and PcolP_{\rm col} are determined consistently (e.g., Inaba et al., 2003; Chambers, 2006; Kobayashi et al., 2011; Kobayashi & Tanaka, 2018).

Refer to caption
Figure 13: Same as Fig. 6 but for the case of the more realistic atmosphere. The green and cyan lines correspond to the analytical solutions (Table 2) for κ=1cm2g1\kappa=1\ {\rm cm^{2}\ g^{-1}} and κ=0.01cm2g1\kappa=0.01\ {\rm cm^{2}\ g^{-1}}.

5.3 Estimate of Planetary Growth

In this subsection, we estimate the accretion timescale TaccT_{\rm acc} and the required disk mass MreqM_{\rm req} for the formation of a planet with mass MpM_{\rm p}. Solid materials drift inward to the protoplanetary disk. The drift velocity vdriftv_{\rm drift} is given by (Weidenschilling, 1977a; Adachi et al., 1976)

vdrift=2St01+St02vhw,v_{\rm drift}=-\frac{2St_{0}}{1+St_{0}^{2}}v_{\rm hw}, (67)

where vhwv_{\rm hw} is the headwind velocity. We define the accretion efficiency of solids

εM˙pM˙drift=PcolΣd2πaΣd|vdrift|,\varepsilon\equiv\frac{\dot{M}_{\rm p}}{\dot{M}_{\rm drift}}=\frac{P_{\rm col}\Sigma_{\rm d}}{2\pi a\Sigma_{\rm d}|v_{\rm drift}|}, (68)

where Σd\Sigma_{\rm d} is the surface density of solids. The required disk mass and the accretion timescale are, respectively, defined by

MreqχMpε,M_{\rm req}\equiv\frac{\chi M_{\rm p}}{\varepsilon}, (69)
TaccMpM˙p.T_{\rm acc}\equiv\frac{M_{\rm p}}{\dot{M}_{\rm p}}. (70)

where χ\chi is the gas to solid ratio. We assume the particle scale hight is given by (Youdin & Lithwick, 2007)

Hd=(1+St0α1+2St01+St0)1/2H,H_{\rm d}=\left(1+\frac{St_{0}}{\alpha}\frac{1+2St_{0}}{1+St_{0}}\right)^{-1/2}H, (71)

where α\alpha is the turbulent parameter (Shakura & Sunyaev, 1973).

Figure 14 shows TaccT_{\rm acc} and MreqM_{\rm req} for a planetary mass Mp=10MM_{\rm p}=10M_{\oplus}, a=5aua=5\ {\rm au}, Σd=2gcm2\Sigma_{\rm d}=2\ {\rm g\ cm^{-2}}, vhw50ms1v_{\rm hw}\approx 50\ {\rm m\ s^{-1}}, χ=100\chi=100, and α=1×103\alpha=1\times 10^{-3}. We obtain PcolP_{\rm col} via the analytic formula shown in Table 2 for low eccentricity partciles. Therefore our estimate is valid for St0100St_{0}\lesssim 100 (see Appendix C)

Very small particles (St0103St_{0}\lesssim 10^{-3}) are hardly accreted onto the planet (see §4.1.4), so that the accretion timescale and required mass are huge.

For St01St_{0}\sim 1, the accretion timescale is much shorter than the disk lifetime as the previous studies have shown (e.g, Ormel & Klahr, 2010). However, a massive disk is required for the formation of the single core of a gas giant planet.

For large particles (St010St_{0}\gtrsim 10), the accretion timescale is as short as that for St01St_{0}\sim 1, because of the atmospheric enhancement. The accretion efficiency is close to the unity because the drift velocity is slow. The required disk mass is thus a constant value; MreqχMpM_{\rm req}\approx\chi M_{\rm p} because of ε1\varepsilon\approx 1.

The radial drift of particles with St01St_{0}\sim 1 effectively supplies materials for planet growth in the inner disk. However, the accretion efficiency of such particles is low. Once collisional growth among drifting particles results in large bodies with St010St_{0}\gtrsim 10, the cores of giant planets are effectively formed. We will address this issue by treating the collisional evolution and radial drift consistently (e.g., Kobayashi & Tanaka, 2018).

Refer to caption
Figure 14: Blue and red lines show the accretion timescale and the required disk mass for κ=0.01cm2g1\kappa=0.01{\rm cm^{2}\ g^{-1}} (solid), 1cm2g11{\rm cm^{2}\ g^{-1}} (dased). Note that our analytic formulae are applicable for St0100St_{0}\lesssim 100 (see Appendix C).

6 Summary and Conclusions

In this paper, we investigate the effect of the protoplanetary disk perturbed by the planet on the collision rate of particles with the planet. We perform the non-isothermal three dimensional hydrodynamic simulation in the frame co-rotating with the planet and then integrate the equation of motion of particles in the gas flow obtained from the simulation considering the super-sonic and Stokes gas drag. We then derive the new analytic formulae for the collision rate, considering the following regimes:

1. Meter-sized or larger particles are captured via the planetary atmosphere. Because they approach the planet exceeding the sound velocity, they feel strong gas drag. The atmosphere decelerates and captures the particles. The collision rate is significantly enhanced by the atmosphere.

2. Smaller particles are influenced by the gas flow in the protoplanetary disk effectively. They are well coupled to the gas flow. The collision rates are determined by comparing two timescales: the encounter timescale in which a particle has a close encounter with a planet and the settling timescale in which a particle drifts onto a planet. If the settling timescale is shorter than the encounter timescale, a particle collide with a planet. For relatively large particles, the drift velocity is determined by the super-sonic gas drag, while the Stokes gas drag is dominant for smaller particles.

3. If the particles are very small, the horseshoe gas flow and the outflow around the planet prevent particles from colliding with the planet. As a result, the collision rate sharply decreases with the decreasing size of particles. Particles can collide with the planet in the narrow band between the Keplerian shear and horseshoe flows.

These analytical formulae (summarized in Table 2) are in good agreement with our numerical simulations. In the three-dimensional case, we also derive the analytic formulae (Eqs. 63 and 64) and confirm the consistency between simulations and the analytical solutions. We show the method to obtain the analytic collision rate with the analytic formulae in Table 2 and §4.3.

We estimate the formation timescale of a solid core for the gas giant formation (Fig. 14). The formation timescale is much shorter than the disk lifetime if St0=102St_{0}=10^{-2} to 10210^{2}. However, the drift velocity is so high that the accretion efficiency is small for St010St_{0}\lesssim 10. Therefore, the collisional evolution between pebbles drifting from the outer disk may be important to reconcile the issue. Our results are helpful to discuss the planet formation in a wide size distribution of bodies.

We are grateful to the anonymous referee for helpful comments, which significantly improves the original version of our manuscript. We would like to thank Elijah Mullens for valuable comments. This work is supported by the financial support of JSPS KAKENHI Grant (17K05632, 17H01103, 17H01105, 18H05438, 18H05436, 20H04612, 21K03642). Hydrodynamic simulations in this work were carried out on the Cray XC50 supercomputer at the Center for Computational Astrophysics, National Astronomical Observatory of Japan. We thank Athena++ developers: James M. Stone, Kengo Tomida, Christopher White, and Kyle Gerard Felker.

Appendix A Analytical Solution of the Density Profile

In our hydrodynamic simulations, we adopt the β\beta cooling model. The density profile reaches the isothermal solution in the quasi-steady state. To solve the density profile analytically, we assume the hydrostatic equilibrium in the isothermal case. The equation for the hydrostatic equilibrium is given by

pr=GMpr(r2+rs2)3/2ρg.\frac{\partial p}{\partial r}=-\frac{GM_{\mathrm{p}}r}{\left(r^{2}+r_{\mathrm{s}}^{2}\right)^{3/2}}\rho_{\mathrm{g}}. (A1)

We use the relation between the density and the pressure in the isothermal, p=ρgcs2p=\rho_{\mathrm{g}}c_{\mathrm{s}}^{2}. We then have

1ppr=RBr(r2+rs2)3/2.\frac{1}{p}\frac{\partial p}{\partial r}=-\frac{R_{\mathrm{B}}r}{\left(r^{2}+r_{\mathrm{s}}^{2}\right)^{3/2}}. (A2)

The solution to this equation is given by

p=p0exp(RBr2+rs2RBRH2+rs2),p=p_{0}\ \mathrm{exp}\left(\frac{R_{\mathrm{B}}}{\sqrt{r^{2}+r_{\mathrm{s}}^{2}}}-\frac{R_{\mathrm{B}}}{\sqrt{R_{\mathrm{H}}^{2}+r_{\mathrm{s}}^{2}}}\right), (A3)
ρg=ρ0exp(RBr2+rs2RBRH2+rs2),\rho_{\rm g}=\rho_{0}\ \mathrm{exp}\left(\frac{R_{\mathrm{B}}}{\sqrt{r^{2}+r_{\mathrm{s}}^{2}}}-\frac{R_{\mathrm{B}}}{\sqrt{R_{\mathrm{H}}^{2}+r_{\mathrm{s}}^{2}}}\right), (A4)

where we assume p=p0,ρg=ρ0p=p_{0},\ \rho_{\rm g}=\rho_{0} at the Hill radius.

The solution is plotted in Fig. 4 and in agreement with our simulation.

\restartappendixnumbering

Appendix B Relation between the Dust Scale Hight and the Dispersion of Inclinations

The large particles have orbital inclinations, so that the zz-coordinate is given by

z=iasinθs,z=ia\ {\rm sin}\theta_{\rm s}, (B1)

where θs\theta_{\rm s} is the true anomaly of the particle. Assuming the isotropic distribution of the true anomaly, the distribution function of zz for an arbitrary ii, f(z)f(z) is given by

f(z)=1π1dz/dθs=1πiacosθs=1πia(1z2/i2a2)1/2.f(z)=\frac{1}{\pi}\frac{1}{dz/d\theta_{\rm s}}=\frac{1}{\pi ia\ {\rm cos}\theta_{\rm s}}=\frac{1}{\pi ia\left(1-z^{2}/i^{2}a^{2}\right)^{1/2}}. (B2)

The Rayleigh-type distribution function of inclination is given by

n(i)=2ii2exp(i2i2).n(i)=\frac{2i}{i^{*2}}\mathrm{exp}\left(-\frac{i^{2}}{i^{*2}}\right). (B3)

Thus, the distribution function of zz is given by

z/af(z)n(i)𝑑i\displaystyle\int^{\infty}_{z/a}f(z)n(i)di =\displaystyle= z/a2exp(i2/i2)aπi2(1z2/i2a2)1/2𝑑i\displaystyle\int^{\infty}_{z/a}\frac{2\ \mathrm{exp}\left(-i^{2}/i^{*2}\right)}{a\pi i^{*2}\left(1-z^{2}/i^{2}a^{2}\right)^{1/2}}di (B4)
=\displaystyle= 1aπiexp(z2i2a2).\displaystyle\frac{1}{a\sqrt{\pi}i^{*}}\ {\rm exp}\left(-\frac{z^{2}}{i^{*2}a^{2}}\right).

Eq. (B4) corresponds to the Gaussian distribution of zz. On the other hand, the Gaussian distribution function of zz with the scale hight HdH_{\rm d} is given by

12πHdexp(z22Hd2).\frac{1}{\sqrt{2\pi}H_{\mathrm{d}}}\mathrm{exp}\left(-\frac{z^{2}}{2H_{\mathrm{d}}^{2}}\right). (B5)

Comparing the two distribution functions in Eqs. (B4) and (B5), we obtain

Hd=ai2.H_{\mathrm{d}}=\frac{ai^{*}}{\sqrt{2}}. (B6)
\restartappendixnumbering

Appendix C Condition for eRH/ae\lesssim R_{\rm H}/a

We here estimate the dispersion of eccentricity for small particles around a planet according to Kobayashi et al. (2010, 2011). The eccentricity damping rate due to the viscous stirring is given by (Ohtsuki et al., 2002)

de2dt=nMa2(RHa)4PVSΩ,\frac{de^{*2}}{dt}=n_{\rm M}a^{2}\left(\frac{R_{\rm H}}{a}\right)^{4}\langle P_{\rm VS}\rangle\Omega, (C1)

where ee^{*} is the dispersion of eccentricity, PVS\langle P_{\rm VS}\rangle is the dimensionless stirring rate, and nMn_{\rm M} is the surface number density of protoplanets given by

nM=124/3πb~RHa,n_{\rm M}=\frac{1}{2^{4/3}\pi\tilde{b}R_{\rm H}a}, (C2)

where b~10\tilde{b}\simeq 10 is a factor of the orbital separation of protoplanets (Kokubo & Ida, 2002). On the other hand, ee^{*}-damping rate due to the gas drag is given by

de2dt=2e2St0Ω.\frac{de^{*2}}{dt}=-2\frac{e^{*2}}{St_{0}}\Omega. (C3)

Gas drag effectively damps ee^{*} of small particles, so that we adopt PVS=73\langle P_{\rm VS}\rangle=73 is independent of ee^{*} for eRH/ae^{*}\ll R_{\rm H}/a. Thus, the equilibrium condition between the stirring and the damping gives

e2=(RH/a)3PVSΩSt027/3πb~0.46(RHa)3St0.e^{*2}=\frac{(R_{\rm H}/a)^{3}\langle P_{\rm VS}\rangle\Omega St_{0}}{2^{7/3}\pi\tilde{b}}\sim 0.46\left(\frac{R_{\rm H}}{a}\right)^{3}St_{0}. (C4)

For the planet formation with Mp=10MM_{\rm p}=10M_{\oplus} (RH/a0.02R_{\rm H}/a\approx 0.02), eRH/ae^{*}\lesssim R_{\rm H}/a for St0100St_{0}\lesssim 100. Therefore, our estimate in Fig. 14 is valid for St0100St_{0}\lesssim 100.

References

  • Adachi et al. (1976) Adachi, I., Hayashi, C., & Nakazawa, K. 1976, Progress of Theoretical Physics, 56, 1756
  • Béthune & Rafikov (2019) Béthune, W., & Rafikov, R. R. 2019, MNRAS, 488, 2365
  • Chambers (2006) Chambers, J. E. 2006, ApJ, 652, L133
  • Chapman & Cowling (1970) Chapman, S., & Cowling, T. G. 1970, The mathematical theory of non-uniform gases. an account of the kinetic theory of viscosity, thermal conduction and diffusion in gases
  • Chrenko & Lambrechts (2019) Chrenko, O., & Lambrechts, M. 2019, A&A, 626, A109
  • Cimerman et al. (2017) Cimerman, N. P., Kuiper, R., & Ormel, C. W. 2017, MNRAS, 471, 4662
  • Eshagh (2005) Eshagh, M. 2005, Journal of the Earth & Space Physics, 31, 1
  • Fehlberg (1969) Fehlberg, E. 1969, NASA Technical Report, 315
  • Fung et al. (2015) Fung, J., Artymowicz, P., & Wu, Y. 2015, ApJ, 811, 101
  • Fung et al. (2019) Fung, J., Zhu, Z., & Chiang, E. 2019, ApJ, 887, 152
  • Gammie (2001) Gammie, C. F. 2001, ApJ, 553, 174
  • Hayashi et al. (1985) Hayashi, C., Nakazawa, K., & Nakagawa, Y. 1985, in Protostars and Planets II, ed. D. C. Black & M. S. Matthews, 1100–1153
  • Homma et al. (2020) Homma, T., Ohtsuki, K., Maeda, N., et al. 2020, ApJ, 903, 98
  • Ida & Makino (1992) Ida, S., & Makino, J. 1992, Icarus, 96, 107
  • Ida & Nakazawa (1989) Ida, S., & Nakazawa, K. 1989, A&A, 224, 303
  • Inaba & Ikoma (2003) Inaba, S., & Ikoma, M. 2003, A&A, 410, 711
  • Inaba et al. (2001) Inaba, S., Tanaka, H., Nakazawa, K., Wetherill, G. W., & Kokubo, E. 2001, Icarus, 149, 235
  • Inaba et al. (2003) Inaba, S., Wetherill, G. W., & Ikoma, M. 2003, Icarus, 166, 46
  • Kobayashi & Tanaka (2018) Kobayashi, H., & Tanaka, H. 2018, ApJ, 862, 127
  • Kobayashi et al. (2011) Kobayashi, H., Tanaka, H., & Krivov, A. V. 2011, ApJ, 738, 35
  • Kobayashi et al. (2010) Kobayashi, H., Tanaka, H., Krivov, A. V., & Inaba, S. 2010, Icarus, 209, 836
  • Kokubo & Ida (2002) Kokubo, E., & Ida, S. 2002, ApJ, 581, 666
  • Kurokawa & Tanigawa (2018) Kurokawa, H., & Tanigawa, T. 2018, MNRAS, 479, 635
  • Kuwahara & Kurokawa (2020a) Kuwahara, A., & Kurokawa, H. 2020a, A&A, 633, A81
  • Kuwahara & Kurokawa (2020b) —. 2020b, A&A, 643, A21
  • Kuwahara et al. (2019) Kuwahara, A., Kurokawa, H., & Ida, S. 2019, A&A, 623, A179
  • Lambrechts & Johansen (2012) Lambrechts, M., & Johansen, A. 2012, A&A, 544, A32
  • Lambrechts & Lega (2017) Lambrechts, M., & Lega, E. 2017, A&A, 606, A146
  • Mizuno et al. (1978) Mizuno, H., Nakazawa, K., & Hayashi, C. 1978, Progress of Theoretical Physics, 60, 699
  • Moldenhauer et al. (2021) Moldenhauer, T. W., Kuiper, R., Kley, W., & Ormel, C. W. 2021, A&A, 646, L11
  • Ohtsuki et al. (2002) Ohtsuki, K., Stewart, G. R., & Ida, S. 2002, Icarus, 155, 436
  • Ormel (2013) Ormel, C. W. 2013, MNRAS, 428, 3526
  • Ormel (2017) —. 2017, The Emerging Paradigm of Pebble Accretion, ed. M. Pessah & O. Gressel, Vol. 445, 197
  • Ormel & Klahr (2010) Ormel, C. W., & Klahr, H. H. 2010, A&A, 520, A43
  • Ormel et al. (2015a) Ormel, C. W., Kuiper, R., & Shi, J.-M. 2015a, MNRAS, 446, 1026
  • Ormel et al. (2015b) Ormel, C. W., Shi, J.-M., & Kuiper, R. 2015b, MNRAS, 447, 3512
  • Popovas et al. (2019) Popovas, A., Nordlund, Å., & Ramsey, J. P. 2019, MNRAS, 482, L107
  • Popovas et al. (2018) Popovas, A., Nordlund, Å., Ramsey, J. P., & Ormel, C. W. 2018, MNRAS, 479, 5136
  • Shakura & Sunyaev (1973) Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 500, 33
  • Stone et al. (2020) Stone, J. M., Tomida, K., White, C. J., & Felker, K. G. 2020, ApJS, 249, 4
  • Tanigawa et al. (2014) Tanigawa, T., Maruta, A., & Machida, M. N. 2014, ApJ, 784, 109
  • Visser & Ormel (2016) Visser, R. G., & Ormel, C. W. 2016, A&A, 586, A66
  • Weidenschilling (1977a) Weidenschilling, S. J. 1977a, MNRAS, 180, 57
  • Weidenschilling (1977b) —. 1977b, Ap&SS, 51, 153
  • White et al. (2016) White, C. J., Stone, J. M., & Gammie, C. F. 2016, ApJS, 225, 22
  • Youdin & Lithwick (2007) Youdin, A. N., & Lithwick, Y. 2007, Icarus, 192, 588