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Planetesimals in Turbulent DisksPlanetesimals in Turbulent Disks
Mordecai-Mark Mac LowChao-Chin Yang
American Museum of Natural History
Jeffrey S. OishiUniversity of California at Berkeley
Kristen MenouColumbia University
Mordecai-Mark Mac LowChao-Chin Yang
American Museum of Natural History
Jeffrey S. OishiUniversity of California at Berkeley
Kristen MenouColumbia University
• Planetesimals form within gas disksPlanetesimals form within gas disks• Laminar disks cause migrationLaminar disks cause migration• Real disks are MRI turbulent, thoughReal disks are MRI turbulent, though• How do planetesimals behave in more How do planetesimals behave in more
realistic disks?realistic disks?• migrationmigration• orbital ellipticity & inclinationorbital ellipticity & inclination• velocity dispersionvelocity dispersion• dead zonesdead zones
• Planetesimals form within gas disksPlanetesimals form within gas disks• Laminar disks cause migrationLaminar disks cause migration• Real disks are MRI turbulent, thoughReal disks are MRI turbulent, though• How do planetesimals behave in more How do planetesimals behave in more
realistic disks?realistic disks?• migrationmigration• orbital ellipticity & inclinationorbital ellipticity & inclination• velocity dispersionvelocity dispersion• dead zonesdead zones
Numerical TechniquesNumerical Techniques Pencil Code (Brandenburg & Dobler 2002)
http://www.nordita.dk/data/brandenb/pencil-code/
Finite-difference MHD code (w / particles) Sixth-order spatial, third-order time Hyperdiffusion for time-centered scheme Div B = 0 maintained using vector
potential Parallelized along pencils using MPI Height-dependent Ohmic resistivity Shearing-sheet local box w/stratification
Pencil Code (Brandenburg & Dobler 2002) http://www.nordita.dk/data/brandenb/pencil-code/
Finite-difference MHD code (w / particles) Sixth-order spatial, third-order time Hyperdiffusion for time-centered scheme Div B = 0 maintained using vector
potential Parallelized along pencils using MPI Height-dependent Ohmic resistivity Shearing-sheet local box w/stratification
Turbulent MigrationTurbulent Migration
Nelso
n &
Pap
alo
izou
04
Nelso
n &
Pap
alo
izou
04
see also:see also:Papaloizou & Nelson 03Papaloizou & Nelson 03Laughlin et al 04Laughlin et al 04Nelson 05Nelson 05
A A random random walk!walk!
tTorq
ue
How do torques act over multiple How do torques act over multiple orbits?orbits?• Use Use test particlestest particles to follow orbital to follow orbital evolution.evolution.• Following large numbers allows Following large numbers allows quantification of random walks.quantification of random walks.initial conditions:initial conditions:• net flux to maintain constant alphanet flux to maintain constant alpha• zero ellipticity, finite ellipticity orbitszero ellipticity, finite ellipticity orbits• low and high mass disks (constant Q)low and high mass disks (constant Q)• unstratified and stratified ideal MHDunstratified and stratified ideal MHD
Motion of an Individual Particle
Motion of an Individual Particle
Mean radial distance → radial drift Amplitude of epicycles → eccentricity e Amplitude of vertical oscillations → inclination i
Mean radial distance → radial drift Amplitude of epicycles → eccentricity e Amplitude of vertical oscillations → inclination i
Yan
g, M
ac L
ow,
& M
enou
, 20
09,
in p
rep
Yan
g, M
ac L
ow,
& M
enou
, 20
09,
in p
rep
Eccentricity ChangeEccentricity Change
Δe = 0.002H
R⎛⎝⎜
⎞⎠⎟ρ
ρ0
⎛
⎝⎜⎞
⎠⎟t
500 orbits⎛⎝⎜
⎞⎠⎟
1 2
Yang, M
ac Lo
w &
Menou 2
009, in
pre
pYang, M
ac Lo
w &
Menou 2
009, in
pre
pextends extends semi-semi-
analytic analytic result of result of
Ogihara, Ida Ogihara, Ida & Morbidelli & Morbidelli 07, 07, based based onon Laughlin Laughlin Steinacker & Steinacker &
Adams 04Adams 04 to both to both
excitation excitation and and
dampingdamping
Inclination GrowthInclination Growth
Over a lifetime of 1 Myr, at ROver a lifetime of 1 Myr, at R ~ 30 AU, i < 0.2 ~ 30 AU, i < 0.2 degreesdegrees
Yang, M
ac Lo
w &
Menou 2
009, in
pre
pYang, M
ac Lo
w &
Menou 2
009, in
pre
p
H
R=0.1
Radial DriftRadial Drift
Δr = 1.5 ×10−3Hρ
ρ0
⎛
⎝⎜⎞
⎠⎟t
500P⎛⎝⎜
⎞⎠⎟
1 2
Yang, M
ac Lo
w &
Menou 2
009, in
pre
pYang, M
ac Lo
w &
Menou 2
009, in
pre
p
quantifies quantifies random walk of random walk of
Nelson & Papaloizou Nelson & Papaloizou 0505
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
thickerthicker thinnerthinner
Dead ZonesDead Zones
cosmic ray ionization (Gammie 96)
dust absorbs charge (Wardle & Ng 99, Sano et al. 00 )
cosmic ray ionization (Gammie 96)
dust absorbs charge (Wardle & Ng 99, Sano et al. 00 )
trace metal ions (Fromang et al 02)
turbulent mixing of ions (Inutsuka & Sano 05, Ilgner & Nelson 06ab, 08, Turner et al. 07)
trace metal ions (Fromang et al 02)
turbulent mixing of ions (Inutsuka & Sano 05, Ilgner & Nelson 06ab, 08, Turner et al. 07)
Oish
i, Mac Lo
w, &
Menou 0
7O
ishi, M
ac Lo
w, &
Menou 0
7
ReReMM=3=3
ReReMM=30=30
ReReMM=100=100
ReReMM=∞=∞
Magnetic pressure vs timeMagnetic pressure vs time
Oishi, Mac Low, & Menou 07Oishi, Mac Low, & Menou 07
Dead zones don’t Dead zones don’t cut off accretion cut off accretion
(confirms & (confirms & extends extends Fleming & Fleming &
Stone 2003Stone 2003))
Shakura & Sunyaev Shakura & Sunyaev viscous stress viscous stress
Advection-Diffusion Approx
Advection-Diffusion Approx
Johnson, Goodman, & Menou (2006) Type I migration = advection Turbulent random walk = diffusion Treat using Fokker-Planck model Assumes stationary torques, finite
correlation times. -> diffusion shortens lifetimes on
average, but allows a few to survive to very long times
Johnson, Goodman, & Menou (2006) Type I migration = advection Turbulent random walk = diffusion Treat using Fokker-Planck model Assumes stationary torques, finite
correlation times. -> diffusion shortens lifetimes on
average, but allows a few to survive to very long times
Oishi, Mac Low, & Menou 07Oishi, Mac Low, & Menou 07
Stationary Stationary torque torque distributionsdistributions
Finite Finite correlatiocorrelation times.n times.
Oishi, Mac Low, & Menou (2007)Oishi, Mac Low, & Menou (2007)
Torques Torques decreasdecrease, but e, but do do notnot vanish vanish in dead in dead zoneszones
Oishi, Mac Low, & Menou 07Oishi, Mac Low, & Menou 07
dead zone thickness
MRI diffusion coefficientMRI diffusion coefficient
QuickTime™ and a decompressor
are needed to see this picture.
Turbulence ParameterTurbulence Parameter
Johnson et al. 06Johnson et al. 06
Nelson 05 found Nelson 05 found = = 0.5 in global, 0.5 in global, unstratified, ideal MRI unstratified, ideal MRI modelsmodels
QuickTime™ and a decompressor
are needed to see this picture.
Johnson, Goodman & Menou 06Johnson, Goodman & Menou 06
MMSN
= 0.2
Mp = 10-2 M
0.1
1
10
diffusive
advective
planetesimals can planetesimals can be in diffusive be in diffusive regime…regime…
Oishi, Mac Low & Menou 07Oishi, Mac Low & Menou 07
ConclusionsConclusions MRI turbulence excites only modest
growth in eccentricity and inclination. Our shearing-sheet results suggest low
radial velocity dispersions, allowing planetesimal formation by collision.
MRI turbulence will cause populations of small planetesimals to diffuse both inwards and outwards, potentially leading to preservation of a significant fraction against gas-driven migration.
MRI turbulence excites only modest growth in eccentricity and inclination.
Our shearing-sheet results suggest low radial velocity dispersions, allowing planetesimal formation by collision.
MRI turbulence will cause populations of small planetesimals to diffuse both inwards and outwards, potentially leading to preservation of a significant fraction against gas-driven migration.