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Sink Particles for FLASH

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Title: Sink Particles for FLASH


1
Sink Particles for FLASH
Robi Banerjee ITA, University of Heidelberg
2
Why sink particles?
  • modeling of dense regions in collapse
  • simulations (e.g. star and cloud formation)
  • controlled violation of the Truelove
  • criterion (preventing artificial fragmentation
    by
  • resolving the Jeans length)
  • allows long term runs of star forming regions
  • (clusters, binaries, )
  • BUT arithmetic part of the simulation
  • gt physical interpretation?

3
Implementation
Based on Paul Rickers particle module(advancing
of particles, handles boundaries, moves particles
across CPUs/blocks, mapping of grid variables
onto the particles and vice versa)
Extensions / modifications
  • creation of particles on the fly
  • time dependent particle masses
  • mass accretion
  • gravity use 1/r2 force for particle
    contribution
  • MPI communication for a small number of
  • particles

4
Implementation
  • Gravity
  • Solve Poisson equation with for gas distribution
  • Compute gravitational acceleration from Fgas
  • Add particle contribution to g

5
Implementation
  • Particle creation
  • Conditions by gravitational collapse
  • Density criterion ?gas gt ?crit (?crit module
    parameter)
  • Check for neighboring particle, i.e. dont create
    a new particle if particle exists within r lt
    raccr
  • Check for local gravitational minimum

Note choose ?crit so that Truelove criterion
is not violated, i.e. ?J gt NJ ?xmin
Jeans refinement condition available ( ?J
(pc2/G?)1/2 )
6
Implementation
  • Mass accretion / momentum transfer

7
Implementation
  • Inter CPU communication

Use local list of all particles to update
particle properties (adequate for limited number
of sink particles 100 1000)
  • Get local list of all sink particles
  • Update particle properties locally
  • Communicate particle properties

Local all-particle list is also used to
calculate gravitational acceleration
8
Test-particle in gaseous potential
  • Gas in quasi
  • hydrostatic equilibrium
  • (Bonnor-Ebert sphere)
  • Isolated grav. BCs
  • Reflecting hydro BCs
  • non-accreting,
  • massless particle
  • Leapfrog integrator
  • Cell-in-Cloud mapping
  • of acceleration

9
Test-particle in gaseous potential
after 65 orbits (orbital time 6.34
My)excentricity due to varying potential
10
Particle-Particle interaction
Test of 1/r2 acceleration
No self-gravity Two Equal mass particles
(orbit setup) Leapfrog integrator
Cell-in-Cloud mapping of acceleration
11
Particle-Particle interaction
stable orbits with 1/r2 acceleration
12
Collapse of a Bonnor-Ebert sphere
  • Mass 9.35 M?
  • ?0 1.67x10-20 g cm-3
  • Radius 0.39 pc (? 7)
  • Sound speed 0.2 km/sec
  • tff 5x105 years
  • Sink particle properties
  • ?crit 1.67x10-16 g cm-3
  • 104 ?0
  • raccr 1.1x1016 cm
  • ?J

e.g. RB, Pudritz Holmes 2004, RB Pudritz
2006, 2007
13
Collapse of a Bonnor-Ebert sphere
14
Collapse of a Bonnor-Ebert sphere
  • asymptodic solution
  • ? r-3/2
  • (Foster Chevalier 1993,
  • Ogino et al. 1999)

15
Collapse of a Bonnor-Ebert sphere
16
Collapse of a Bonnor-Ebert sphere
  • Low threshold run
  • ?crit 1.67x10-18 g cm-3
  • 100 ?0
  • raccr 1.1x1017 cm
  • ?J

17
Sink particles in action(Formation of Molecular
Clouds)
18
Sink particles in action(Formation of Molecular
Clouds)
  • So far 14 particles created
  • Masses up to 350 M?

19
To Do
  • a few more tests Boss Bodenheimer
  • (Bate Burkert) binary formation
  • compare to Shu SIS analytic model
  • Bondi-Hoyle accretion in the low density
  • regime (Krumholz et al. 2004)
  • calculate/store angular momentum
  • use for outflows
  • use for radiation feedback
  • (stellar properties/evolution)
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