grmhd astrophysics simulations using cosmos++

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GRMHD Astrophysics Simulations using Cosmos++ Joseph Niehaus, Chris Lindner, Chris Fragile

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GRMHD Astrophysics Simulations using Cosmos++. Joseph Niehaus , Chris Lindner, Chris Fragile. Why do Computational Astrophysics?. Tests the extremes of space that cannot be simulated by conventional means Many vital parameters cannot be observed Many problems have no exploitable symmetry. - PowerPoint PPT Presentation

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Page 1: GRMHD Astrophysics Simulations using Cosmos++

GRMHD Astrophysics Simulations using Cosmos++

Joseph Niehaus, Chris Lindner, Chris Fragile

Page 2: GRMHD Astrophysics Simulations using Cosmos++

Why do Computational Astrophysics?

• Tests the extremes of space that cannot be simulated by conventional means

• Many vital parameters cannot be observed

• Many problems have no exploitable symmetry

Page 3: GRMHD Astrophysics Simulations using Cosmos++

Finite Volume Simulations• Divide the computational area into

zones• Each zone contains essential data

about the material contained inside

• The simulation is evolved in time through a series of time steps

• As the simulation progresses, cells communicate with each other

Page 4: GRMHD Astrophysics Simulations using Cosmos++

Highlights of Cosmos++

• Developers: P. Anninos, P. C. Fragile, J. Salmonson, & S. Murray– Anninos & Fragile (2003) ApJS, 144, 243– Anninos, Fragile, & Murray (2003) ApJS, 147, 177– Anninos, Fragile & Salmonson (2005) ApJ, 635, 723

• Multi-dimensional Arbitrary-Lagrange-Eulerian (ALE) fluid dynamics code– 1, 2, or 3D unstructured mesh

• Local Adaptive Mesh Refinement (Khokhlov 1998)

Page 5: GRMHD Astrophysics Simulations using Cosmos++

Highlights of Cosmos++• Multi-physics code for Astrophysics/Cosmology

– Newtonian & GR MHD– Arbitrary spacetime curvature (K. Camarda -> Evolving

GRMHD)– Relativistic scalar fields– Radiation transport (Flux-limited diffusion -> Monte Carlo)– Equilibrium & Non-Equilibrium Chemistry (30+ reactions)– Radiative Cooling– Newtonian external & Self-gravity

• Developed for large parallel computation– LLNL Thunder, NCSA Teragrid, NASA Columbia, JPL Cosmos,

BSC MareNostrum

Page 6: GRMHD Astrophysics Simulations using Cosmos++

Local Adaptive Mesh Refinement

Page 7: GRMHD Astrophysics Simulations using Cosmos++

GRMHD Equations in Cosmos++Extended Artificial Viscosity (eAV)

mass conservation

momentum conservation

induction

“divergence cleanser”

2

22

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p

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kjkj

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iit

ccBc

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SSS

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DVD

Page 8: GRMHD Astrophysics Simulations using Cosmos++

Active Galaxy Centaurus A

Page 9: GRMHD Astrophysics Simulations using Cosmos++

Describing a Black Hole• Three possible intrinsic properties:

– Mass– Angular momentum (spin)– Electric charge

• Nothing else can be known about a black hole– “No hair” theorem

Astrophysically unlikely

Page 10: GRMHD Astrophysics Simulations using Cosmos++

Black Hole Accretion Disks• Often formed from binary star systems• Black hole accretes matter from donor star• Disk of plasma forms around black hole• Angular momentum is exchanged throughMagnetic fields• Magnetically dominated flux points away from black hole’s poles, forming jets

Page 11: GRMHD Astrophysics Simulations using Cosmos++

Accretion Disks: What we don’t knowJets•What powers jets?•What sets their orientation?•How is the black hole oriented?

Cooling and Heating•What type of radiative transport occurs in the disk?•How does this effect disk structure?•How does this effect what we observe?

QPOs•What is the source of these phenomena? Blundell, K. M. & Bowler, M. G., 2004, ApJ, 616, L159

Total intensity image at 4.85 GHz of SS433

Page 12: GRMHD Astrophysics Simulations using Cosmos++

What determines jet orientation in accretion disk systems?

We can answer this question by simulating systems where the angular momentum of the disk is not aligned with the angular momentum ofThe black hole

“Tilted accretion disks”(Fragile, Mathews, & Wilson, 2001, Astrophys. J., 553, 955)

•Can arise from asymmetric binary systems•Breaks the main degeneracy in the problem

Page 13: GRMHD Astrophysics Simulations using Cosmos++

Spherical-Polar Grid• Most commonly used type of

grid for accretion disk simulations– good angular momentum

conservation– easy to accommodate event

horizon• Not very good for simulating

jets in 3D– zones get very small along

pole forcing a very small integration timestep

– pole is a coordinate singularity

• creates problems, particularly for transport of fluid across the pole

Page 14: GRMHD Astrophysics Simulations using Cosmos++

Cubed-Sphere Grid• Common in atmospheric

codes• Not seen as often in

astrophysics• Adequate for simulating

disks– good angular momentum

conservation– easily accommodates event

horizon• Advantages for simulating

jets– nearly uniform zone sizing

over entire grid– no coordinate singularities

(except origin)

Page 15: GRMHD Astrophysics Simulations using Cosmos++

The Cubed Sphere

Each block has its own coordinate system

Six cubes are projected into segments of a sphere

Page 16: GRMHD Astrophysics Simulations using Cosmos++

Jet Orientation

Page 17: GRMHD Astrophysics Simulations using Cosmos++

Energy Equations in Cosmos++Extended Artificial Viscosity (eAV)

internal energy

total energy conservation

iiij

ijB

jji VBBBBQPPVgggF

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00

41

BhTWFV

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Page 18: GRMHD Astrophysics Simulations using Cosmos++

Why Two Energy Equations?

• Tracked Simultaneously through code• Attempt to recapture as much heat as possible

– Attempting to counteract numerical diffusion• Used when total energy below error

– Both energies compared if both below error• Higher energy chosen

Page 19: GRMHD Astrophysics Simulations using Cosmos++

Heating Processes• Magnetic

– Magnetic Reconnection– Recaptured through total energy equation

• No explicit term

• Hydrodynamic– Shockwaves & Gas Compression– Handled directly by both energy equations

• Viscous– Internal heating due to fluid dynamics– Recaptured through total energy

Page 20: GRMHD Astrophysics Simulations using Cosmos++

Radiative Cooling Processes• Bremsstrahlung

– “Braking” cooling, emits radiation when decelerating

• Synchrotron– Relativistic electrons & positrons

• Inverse Compton– Electrons colliding with photons– Becomes prevalent as optical depth increases

Page 21: GRMHD Astrophysics Simulations using Cosmos++

Radiative Cooling Processes

cm 107.2

G 8380g/cm 10

7

310

H

B

Page 22: GRMHD Astrophysics Simulations using Cosmos++

2.5D Simulations

• Initial stable solution for rotating torus

• Set up for MRI growth– Poloidal fields

• No mass or energy transported azimuthally– Vectors tracked numerically

Page 23: GRMHD Astrophysics Simulations using Cosmos++

2.5D Simulations

• 3 Scenarios for Comparison– M

• Similar to past runs• No heating or cooling

– Physical assumption– TM

• Heating included– Total energy & Internal energy equations

– TMC• Heating and Cooling Processes• Total energy & Internal energy

Page 24: GRMHD Astrophysics Simulations using Cosmos++

2D Simulations - Resultstorus2d.m.h torus2d.tm.h torus2d.tmc.h

Page 25: GRMHD Astrophysics Simulations using Cosmos++

Conclusions

• Cosmos++• GR MHD• AMR• Radiative cooling

• Accretion Disks• Cooling/Heating• Jets/Tilted Disks• QPO’s

Page 26: GRMHD Astrophysics Simulations using Cosmos++

Untilted Disk Jets

MagneticField Lines

Unbound Material

Page 27: GRMHD Astrophysics Simulations using Cosmos++

15 Degree Tilt Jets

MagneticField Lines

Unbound Material