DSMC Simulation of the Plasma Bombardment on Io - PowerPoint PPT Presentation

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DSMC Simulation of the Plasma Bombardment on Io

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DSMC Simulation of the Plasma Bombardment on Io s Sublimated and Sputtered Atmosphere Chris Moore0 and Andrew Walker1 N. Parsons2, D. B. Goldstein1, P. L. Varghese1 ... – PowerPoint PPT presentation

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Title: DSMC Simulation of the Plasma Bombardment on Io


1
DSMC Simulation of the Plasma Bombardment on Ios
Sublimated and Sputtered Atmosphere
  • Chris Moore0 and Andrew Walker1
  • N. Parsons2, D. B. Goldstein1, P. L. Varghese1,
    L. M. Trafton1, D.A. Levin2
  • 0Sandia National Labs1University of Texas at
    Austin2Penn State University
  • 50th AIAA Aerospace Sciences Meeting
  • 1/10/2012

Supported by the NASA Planetary Atmospheres and
Outer Planets Research Programs. Computations
performed at the Texas Advanced Computing Center.
Sandia is a multiprogram laboratory operated by
Sandia Corporation, a Lockheed Martin
Company,for the United States Department of
Energys National Nuclear Security
Administration under contract DE-AC04-94AL85000.
2
Outline
  • Brief motivation and background information on Io
  • Overview of physical models in our planetary DSMC
    Code
  • Description of new physical models
  • Particle description of the plasma
  • Surface sputtering due to energetic ions
  • Ion reaction chemistry
  • Photo-chemistry
  • Atmospheric Simulations
  • Conclusions

2
3
Motivation
  • Jovian plasma torus sweeps past Ios atmosphere
    causing
  • Heating
  • Chemistry
  • Changes to the global winds
  • Enhanced gas columns due to sputtering
  • Observed auroral glows
  • Matching obs. can be used to probe the torus
    conditions

Jupiter
Io
Plasma Torus
Io Flux Tube
Illustration by Dr. John Spencer
  • Io supplies the Jovian plasma torus
  • Surface and atmospheric sputtering
  • Ionization
  • Charge exchange

3
4
Background Information on Io
Frost patch of condensed SO2
Volcanic plume with ring deposition
Illustration by Dr. John Spencer
  • Io is the closest satellite to Jupiter
  • Radius 1820 km (slightly larger than our moon)
  • Atmosphere sustained by volcanism and sublimation
    from SO2 surface frosts
  • Dominant dayside atmospheric species is SO2
    lesser species - S, S2, SO, O, O2
  • Io is the most volcanically active body in the
    solar system
  • Volcanism is due to an orbital resonance with
    Europa and Ganymede which causes strong tidal
    forces in Io

4
5
Brief Overview of DSMC
  • DSMC simulates gas dynamics using a large
    number of representative particles
  • Position, velocity, internal state, etc. stored
  • Particle collisions and movement are decoupled in
    a given timestep
  • Particles are moved by integrating Fma
  • Binary collisions allowed to occur between
    particles in the same collision cell

5
6
Overview of our DSMC code
  • Atmospheric models
  • Rotational and vibrational energy states
  • Sub-stepped emission
  • Variable gravity
  • Simulate plasma with particles
  • Chemistry neutral, photo, ion, electron
  • Surface models
  • Non-uniform SO2 surface frosts
  • Comprehensive surface thermal model
  • Volcanic hot spots.
  • Residence time on the non-frost surface
  • Surface sputtering by energetic ions
  • Numerical models
  • Spatially and temporally varying weighting
    functions.
  • Adaptive vertical grid that resolves mfp
  • Sample onto to uniform output grid
  • Separate plasma and neutral timesteps

Time scales Chemistry 10-12 seconds Surface
sputtering 10-10 seconds Plasma Timestep 0.005
seconds Ion-Neutral Collisions 0.01 seconds -
hours Vibrational Half-life millisecond-second Cyc
lotron Gyration 0.5 seconds Neutral Time step 0.5
seconds Neutral Collisions 0.1 seconds -
hours Residence Time seconds - hours Ballistic
Time 2-3 minutes Flow Evolution Several
hours Eclipse 2 hours SO2 Photo Half-life 36
hours Io Day 42 hours
6
7
Overview of our DSMC code
  • Atmospheric models
  • Rotational and vibrational energy states
  • Sub-stepped emission
  • Variable gravity
  • Simulate plasma with particles
  • Chemistry neutral, photo, ion, electron
  • Surface models
  • Non-uniform SO2 surface frosts
  • Comprehensive surface thermal model
  • Volcanic hot spots.
  • Residence time on the non-frost surface
  • Surface sputtering by energetic ions
  • Numerical models
  • Spatially and temporally varying weighting
    functions.
  • Adaptive vertical grid that resolves mfp
  • Sample onto to uniform output grid
  • Separate plasma and neutral timesteps

Length scales Atomic interactions 10-9
m Sputtering radius 10-7 m Debye Length lt1
m Electron Larmor radius 3 m Dayside neutral
m.f.p. 10 m Volcanic plume vents 0.110
km Ion-neutral m.f.p. 500 m Electron-ion
m.f.p. 1 km Ion Larmor radius 3
km Atmospheric scale height 10100 km Nightside
neutral m.f.p. 100 km Volcanic plumes 100500
km Ios radius 1820 km Jovian plasma
torus 105 km
7
8
3D / Parallel
  • 3D
  • Spherical grid northern hemisphere
  • 33 latitude/longitude cells
  • Non-uniform radial grid
  • Parallel
  • MPI, 900 CPUs
  • Parameters
  • 360 million molecules instantaneously
  • Simulated 10 hours to quasi-SS
  • 25,000 computational hours

8
9
Surface Sputtering
  • Ion energies in the collision cascade regime
  • Little sputtering contribution from electronic
    excitation
  • Sputtering yield proportional to incident ion
    energy

9
10
Surface Sputtering
  • Ion energies in the collision cascade regime
  • Little sputtering contribution from electronic
    excitation
  • Sputtering yield proportional to incident ion
    energy
  • Sputtering yield exponential with surface frost
    temperature

SO2 sputtering yield, S, versus SO2 frost
temperature. Lanzerotti et al. (1982)
10
11
Surface Sputtering
  • Ion energies in the collision cascade regime
  • Little sputtering contribution from electronic
    excitation
  • Sputtering yield proportional to incident ion
    energy
  • Sputtering yield exponential with surface frost
    temperature
  • Sputtered particles leave with Thompson energy
    distribution

Sputtered SO2 energy distribution. Boring et al.
(1984)
11
12
Charged Particle Motion
  • Acceleration during move
  • Use predictor-corrector integrator
  • Pre-computed (MHD) fields used
  • Electrons are assumed to move with the ions
  • Debye length ltlt m.f.p.

Simulate simple ion motion and impact onto
surface
B-Field
E-Field (Out of the page)
12
13
Heavy Interactions MD/QCT1
  • SO2 O collisions simulated using Molecular
    Dynamics/Quasi-Classical Trajectories (MD/QCT)
  • RK-4 integration of Hamiltonian equations
  • Particles interact via their potentials
  • Cases run for range of collider velocities and
    initial SO2 internal energies
  • Each case consists of 10,000 separate
    trajectories Microcanonical sample unique
    impact parameters and initial SO2 component
    coordinates
  • Potential Energy Surface
  • Total potential of SO2 O system is the
    summation of the collisional interaction
    potential and molecular potential of the SO2
    molecule
  • Collisional interaction Lennard-Jones 6-12
    potential
  • SO2 molecular potential Murrell 3-body
    potential
  • Allows for accurate dissociation of SO2 molecule
    to SO O, O2 S, or S 2O

13
1Parsons, N. and Levin, D., 50th AIAA Aerospace
Sciences Meeting 2012-0227
14
Heavy Interactions
  • MD/QCT (fast neutrals/ions) or theoretical cross
    section data vs. translational and internal
    energy
  • Linearly interpolate between nearest cross
    section data points
  • If no MD/QCT data, use Arrhenius coefficients
    TCE
  • Always use the total cross section to determine
    the reaction rate (number of selections and
    fraction accepted)
  • VHS cross section Total cross section above 20
    km/s

14
15
Photo-chemistry
  • Rate constants, kreact,s,i, assume quite sun
  • Assume gas is optically thin
  • Optical depth over photo-dissociation wavelengths
    less than 0.1
  • Give dissociation products an average excess
    kinetic energy
  • Accurate below the exobase where products are
    collisionally equilibrated

1 Io Day
0-D box initialized with only SO2 particles.
Lines are analytic, diamonds from DSMC.
15
16
Simulation Conditions
  • Io just before ingress ? Plasma incident onto
    dusk terminator
  • Assume uniform SO2 frost ? No rock surface or
    residence time
  • Assume simple radiative equilibrium surface
    temperature model
  • Do not account for Ios rotation, thermal inertia

16
17
3D Results SO2
  • SO2 number density peaks near the subsolar point
  • Day-to-night near surface flow develops from
    subsolar point
  • Retrograde wind forms and high density finger
    extends past the dawn terminator due to plasma
    pressure
  • Slight increase in the polar atmosphere due to
    preferential polar sputtering

Direction of Ios rotation
17
18
3D Results O2
  • O2 produced via photo-dissociation on dayside
  • Non-condensable O2 gas dynamics very different,
    but day-to-night flow still present
  • O2 finger extends much further onto the
    nightside, to the dusk terminator
  • Retrograde flow across nightside meets
    day-to-night flow at dusk terminator
  • O2 diffuses towards the poles where it is
    stripped away or destroyed by the plasma

Dawn Terminator
18
19
3D Results O
  • O density contours 4 km above Ios surface
  • High altitude ions stream along field lines to
    surface
  • On the nightside, ions stream to the surface
  • Upstream torus O
  • density 2400 cm-3
  • Dense dayside atmosphere prevents plasma
    penetration
  • Enhancement on the dayside from plasma flow

19
20
Surface Sputtering of SO2 Frost
  • Sputtering primarily on the nightside and at high
    latitudes
  • Dense atmospheric columns (gt 1015 cm-2) block
    energetic ions from reaching the surface
  • Obs. show green auroral glow only on Ios
    nightside
  • Sodium is believed to be sputtered off Ios
    surface
  • Simulated SO2 sputtering map suggests Na is the
    source of green aurora with sputtering blocked on
    dayside

20
21
Discussion
Current simulation
  • Direction of plasma flow relative to subsolar
    point important
  • Subsolar point changes during Ios orbit ?
    Atmospheric dynamics will change as Io orbits
    Jupiter
  • Sputtering only occurring near night time
    temperatures implies preferential scouring of
    surface by plasma from 270360
  • Eclipse inhibits formation of dayside atmosphere
  • Plasma directly impacts this quadrent
  • Ios surface frost poor in this region

21
22
Conclusions
  • The interaction of the Jovian plasma torus with
    Ios atmosphere was simulated using the DSMC
    method.
  • A sub-stepping method was used to time-resolve
    the movement and collisions of energetic ions and
    electrons from the Jovian plasma torus
  • MD/QCT simulations were used to compute the
    cross-sections for heavy reactions
  • Sputtering from Ios surface by energetic ions
    and fast neutrals was included
  • Formation of high density finger onto the
    nightside near the dawn terminator due to plasma
    pressure
  • Interesting O2 flow feature generated at the dusk
    terminator
  • Non-condensable O2 pushed across the nightside to
    the dusk terminator where it meets the opposite
    day-to-night flow
  • O2 stagnates and forced to diffuse slowly towards
    the pole until it is stripped away and/or
    dissociated
  • Sensitivity of sputtering on surface temperature
    can lead to sharp gradients in sputtering column
    density Sputtering blocked by large columns gt
    1015 cm-2
  • Concentrated at high latitudes and on low density
    nightside
  • Possible cause of observed (Voyager, Galileo)
    frost-poor region of Ios surface

22
23
Electron Interactions
  • Used measured (and theoretical) cross sections
    versus relative velocity (energy)
  • For SO2, SO, O2, S2, O, and S
  • Because of the large number of reactions,
    precompute reaction probabilities vs. finite set
    of energies
  • Account for anisotropic scattering

SO2 cross sections
Trace molecular cross sections
O cross sections
24
Surface Sputtering
  • Physically, sputtered particles shouldnt collide
    with each other
  • Sputtering occurs over area of 10-13 m2 ? point
    source
  • Collisions between sputtered particles tends to
    reduce the expansion velocity parallel to the
    surface
  • Solution Place sputtered particles at cell
    corner, weighted by the inverse distance from
    impact point to each corner

0
3
Lc,0
Lc,3
Lc,2
Lc,1
2
1
Surface Cell
2
1
12
25
Column Densities
  • Due to flow, SO2 column density no longer
    hydrostatic near dawn terminator on nightside
  • Nightside SO2 column density increases slightly
    towards pole
  • SO2 condensable, SO partially condensable, O2
    non-condensable
  • O2 dominates nightside
  • SO extends further than SO2 onto nightside
  • O2 shows large buildup in column density near
    dusk terminator

19
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