numerical ‘black hole’ simulations

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Numerical ‘black hole’ simulations Luis Lehner LSU [NSF-NASA-Sloan-Research Corporation]

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Numerical ‘black hole’ simulations. Luis Lehner LSU [NSF-NASA-Sloan-Research Corporation]. Overview. Status of ‘basic’ efforts What we know & would like to know at continuum level From continuum to discrete Head-ways/messages to other disciplines - PowerPoint PPT Presentation

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Page 1: Numerical ‘black hole’ simulations

Numerical ‘black hole’ simulations

Luis LehnerLSU

[NSF-NASA-Sloan-Research Corporation]

Page 2: Numerical ‘black hole’ simulations

Overview• Status of ‘basic’ efforts

– What we know & would like to know at continuum level

– From continuum to discrete

– Head-ways/messages to other disciplines

• Status through 3 examples (3,2,1 + time dimensions). From ‘qualitative’ to precision physics….– Astrophysical black hole simulations

– Higher dimensional black holes and related systems

• Final comments

Page 3: Numerical ‘black hole’ simulations

Where are we now‘The good, the bad and the ugly’

• Initial value problem: Advanced on development, analysis and use of formulations of Einstein equations. – Previously used equations were weakly hyperbolic generically ill-posed!

– Can be ‘fixed’ by adding constraints (and coord conditions) in a suitable manner

– Yet, lots of possibilities, ‘infinitely’ many different formulations.

• Poor’s man way: parameter search, dynamical adjusting them, and/or ‘clean-up’ constraints.

pCBuuAu ii

t ,,

Tiglio,LL,Neilsen

Page 4: Numerical ‘black hole’ simulations

• Initial value boundary problem: Well posedness established [Friedrich-Nagy].

– Allows for specifying the ‘right’ boundary –physical– data. Just one formulation where this is known at the non-linear level

– A couple of others at linear level, well posed but unable to specify desired boundary condition

• Poor’s man way of dealing with this: Push boundaries far out.

• A more refined way, understand well posedness of underlying problem with suitable boundary conditions. For radiative ones, in a standard formulation elliptic gauge equation to rule out weak (polynomial) instability [Sarbach-Reula in a model problem].

• For global problem. Reach future null infinity by matching formulations or conformal eqns.

sconstraint control toneed,0

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t

unn

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ifuAu

Page 5: Numerical ‘black hole’ simulations

Moving to numerical arena• Guiding principle: reproduce analytical steps at ‘all’ cost.

– System:

– What’s involved here?

– Why did we get this?

– Numerically? Obtain a (semi-) discrete energy estimate

• Operator?

• Boundaries?

• Dissipation?

• Integration in time. RK3-RK4 preserves the discrete energy stability!

utxButxAu ii

t ),(),( ,,

baEEdvuuFE

bax uuuuu |2

,

2),(),(.. uuDuDuutsD

0),(..)( LuutsuLRHSRHS

}/)(;/)(;/{|),( zyxyxxi

ii AAAAAAFADuuADuu

Gustaffson-Kreiss-Oliger; Strand; Olsson; Tadmor Calabrese-L.L.-Neilsen-Pullin-Reula-Sarbach-Tiglio

Page 6: Numerical ‘black hole’ simulations

Example 1

• Binary black hole simulations.– Leading edge, a few efforts leading to ‘orbits’.

• Rationale, use what is available the ‘best’ possible way and push ahead the problem at hand.

– F. Pretorius effort:• Einstein eqns in harmonic coordinates.

• Adaptive mesh refinement to achieve high resolution near black holes• Addition of constraint terms to ‘damp’ spurious growth. [H. Friedrich, Sarbach-Tom]

Page 7: Numerical ‘black hole’ simulations

• Generalized harmonic coordinates introduce a set of arbitrary Generalized harmonic coordinates introduce a set of arbitrary source functionssource functions HH u u into the usual definition of harmonic into the usual definition of harmonic coordinatescoordinates

• WithWith H H u u regarded as independent functions regarded as independent functions, the principle part , the principle part of the equation for of the equation for eacheach metric element reduces to a simple metric element reduces to a simple wave equationwave equation

• Constraints:Constraints:

• Behavior?Behavior?

• To help with constraint’s growth, modify eqns by adding To help with constraint’s growth, modify eqns by adding constraints constraints [Gundach et al, following Brodbeck-Huebner-Reula-Frittelli][Gundach et al, following Brodbeck-Huebner-Reula-Frittelli]

Hggg

x

1

0..., gg

0...,

CngCnCngg

xHC

CRC

Page 8: Numerical ‘black hole’ simulations

Effect of damping terms• Axisymmetric simulation Axisymmetric simulation

of a Schwarzschild black of a Schwarzschild black hole, Painleve-Gullstrand hole, Painleve-Gullstrand coords.coords.

• Left and right simulations Left and right simulations use use identicalidentical parameters parameters except for the use of except for the use of constraint dampingconstraint damping

• Not ‘robust’ for al Not ‘robust’ for al problemsproblems

Page 9: Numerical ‘black hole’ simulations

status, prospects….• ‘Realistic’ initial data still unknown, presently trying to

understand generic features of binary black hole mergers– Initial data defined by boosted over-critical scalar field configurations.– choice for initial geometry and scalar field profile:choice for initial geometry and scalar field profile:

• spatial metric and its first time derivative is conformally flatspatial metric and its first time derivative is conformally flat• maximal (gives initial value of lapse and time derivative of conformal factor) and maximal (gives initial value of lapse and time derivative of conformal factor) and

harmonic (gives initial time derivatives of lapse and shift)harmonic (gives initial time derivatives of lapse and shift)• Hamiltonian and Momentum constraints solved for initial values of the conformal factor Hamiltonian and Momentum constraints solved for initial values of the conformal factor

and shift, respectivelyand shift, respectively

– advantages of this approachadvantages of this approach• ““simple” in that initial time slice is singularity freesimple” in that initial time slice is singularity free• all non-trivial initial geometry is driven by the scalar field—when the scalar field all non-trivial initial geometry is driven by the scalar field—when the scalar field

amplitude is zero he recovers Minkowski spacetimeamplitude is zero he recovers Minkowski spacetime

– disadvantagesdisadvantages• ad-hoc in choice of parameters to produce a desired binary systemad-hoc in choice of parameters to produce a desired binary system• uncontrollable amount of “junk” initial radiation (scalar and gravitational) in the uncontrollable amount of “junk” initial radiation (scalar and gravitational) in the

spacetime; though spacetime; though allall present initial data schemes suffer from this to some degree. present initial data schemes suffer from this to some degree.– Numerical ingredientsNumerical ingredients

• Adaptive mesh refinement technique employedAdaptive mesh refinement technique employed• ‘‘Compactification’ of spatial coordinates + artificial dissipation to wipe out everything Compactification’ of spatial coordinates + artificial dissipation to wipe out everything

that leaves sufficiently far.that leaves sufficiently far.

Page 10: Numerical ‘black hole’ simulations

‘dynamics’• Initially:Initially:

– equal mass componentsequal mass components– eccentricity eccentricity e e ~ 0 - 0.2~ 0 - 0.2– coordinate separation of coordinate separation of

black holes ~ 13black holes ~ 13MM– proper distance between proper distance between

horizons ~ 16horizons ~ 16M M – velocity of each black hole velocity of each black hole

~0.16~0.16– spin angular momentum = 0spin angular momentum = 0– ADM Mass ~ 2.4ADM Mass ~ 2.4MM

• Final black hole:Final black hole:– MMff ~ 1.9~ 1.9M M – Kerr parameter a ~ 0.70Kerr parameter a ~ 0.70– ‘‘error’error’ ~ 5% ~ 5%

Page 11: Numerical ‘black hole’ simulations

)2/tan(),2/tan(),2/tan( zzyyxx

Scalar field Scalar field rr, compactified , compactified (code) coordinates(code) coordinates

Scalar field Scalar field rr, uncompactified , uncompactified coordinatescoordinates

Page 12: Numerical ‘black hole’ simulations

Simulation (center of mass) coordinatesSimulation (center of mass) coordinates

Reduced mass frame; heavier lines are Reduced mass frame; heavier lines are position of BH 1 relative to BH 2 (green position of BH 1 relative to BH 2 (green star); thinner black lines are reference star); thinner black lines are reference ellipsesellipses

Page 13: Numerical ‘black hole’ simulations

Real component of the Newman-Real component of the Newman-Penrose scalar Penrose scalar times times rr,,z=0z=0 slice of slice of

the solutionthe solution

Real component of the Newman-Real component of the Newman-Penrose scalar Penrose scalar times times rr,,x=0x=0 slice slice

of the solutionof the solution

Page 14: Numerical ‘black hole’ simulations
Page 15: Numerical ‘black hole’ simulations

Summary of computation – Summary of computation – medium resolution simulationmedium resolution simulation

• base grid resolution 33base grid resolution 3333

– 9 levels of 2:1 mesh refinement (9 levels of 2:1 mesh refinement (effectiveeffective finest grid resolution of 8192finest grid resolution of 819233) … switched to 8 ) … switched to 8 levels maximum at around 150Mlevels maximum at around 150M

– ~ 50,000 time steps on finest level~ 50,000 time steps on finest level

– ~550 hours on 48 nodes of UBC’s vnp4 Xeon ~550 hours on 48 nodes of UBC’s vnp4 Xeon cluster (26,000 CPU hours total)cluster (26,000 CPU hours total)

– maximum total memory usage ~ 10GB, disk maximum total memory usage ~ 10GB, disk usage ~ 100GB (and this is very infrequent usage ~ 100GB (and this is very infrequent output!)output!)

Page 16: Numerical ‘black hole’ simulations
Page 17: Numerical ‘black hole’ simulations

Pushing ahead…

Zoom-whirl ?

finite number of ‘humps’

Page 18: Numerical ‘black hole’ simulations

Notes….• ‘First-sight’ prognosis… bbh orbits underway. Some qualitative, semi-

quantitative answers coming and in the way.

• Estimates of expected growth can play a major role:– to discern among different formulations

– to exploit this knowledge at the numerical level

• How must one deal with ‘non-constant’ characteristic structure?– e.g. u,t=f(x,y) u,x with f(x=0,y) = sin(y)

• Existing/gained knowledge spilling out to close fields– Eg. MHD eqns often used are weakly hyperbolic, upon re-expression yield vastly

improved simulations without ‘special tricks’ [Hirschman-Neilsen-Reula-LL]

• Every simulation still require large resources – too long times– . Further developments in numerics/computational techniques to come.

Page 19: Numerical ‘black hole’ simulations

‘lower’ the dimensionality by going higher…

Page 20: Numerical ‘black hole’ simulations

Black strings and bubbles• Black strings: higher dimensional black holes. In 5D black holes with

‘maximum’ symmetries are : S3 hyperspherical black hole or S2xR cylindrical black hole or black string.

• Bubbles. Topogically ‘weird’ spacetimes.

– An initially large sphere can’t be shrank to zero size

– Minkowski spacetime shown to be able to ‘quantum tunnel’ to a bubble spacetime (Witten bubble)

• Studying both systems require numerical simulations of Einstein equations in higher dimensions (5D) but symmetries allow for treating the black string in 2+1 and bubble in 1+1 dimensions.

Page 21: Numerical ‘black hole’ simulations

Black strings

1.- Contain singularities2.- Ruled by null-rays3.- Non-unique even in spherical symm

Stability? - Black string perturbations admit exponential growth

for L > Lc (Gregory-Laflamme)

- Entropy SBS<SBH (for a given M)

Conjecture: Black strings will bifurcate

Page 22: Numerical ‘black hole’ simulations

• Conjecture used in many scenarios• Density of states from Ads/CFT correspondence• Discussions of BH on brane worlds. BH in matrix theory, etc

Recent developments

• Horowitz-Maeda, can’t bifurcate in finite time. Conjecture: will ‘settle’ to a non-uniform stationary soln (ie. No bifurcation in infinite affine time)

• Gubser: transition to soln of first-order type in 5-6D (1st, ~2nd order pert)• Wiseman: stationary solns which are not the Horowitz-Maeda ones.• Kol: Transition from black string to BH through a conical singularity• Sorkin-Kol: for high enough dimensions transition is of 2nd order.

• Qns:– What is the final solution of a perturbed black string?– Can it bifurcate in ‘infinite time’?– Are Wiseman’s solns, physically relevant?

Page 23: Numerical ‘black hole’ simulations

Some details

• Spherical symmetry 2+1 problem. BUT a priori quite a zoo of possibilities!

• Line element:

• Initial data– Solve constraints with a seed perturbation in g

• Boundary?– Might need to ‘evolve’ for very long!. ‘Compactify’ r

direction (dissipation needed)

ds g dt g drdt

g dr g drdz g dz g d

rrr r

rr

rr rz zz

2 2 2

2 2 2

2

2

( )

Page 24: Numerical ‘black hole’ simulations

Monitoring the evolution

• Apparent horizon & Null surfaces

• Kretschmann invariant I=Rabcd Rabcd

– For BS, at ev. horizon: IA = 12/R4 ;

– For hyperspherical BH at ev horizon: IA = 72/R4

– Monitor I R4/12 {1,6} for {BS, hyper.BH}

• Excision at:– RAH – buffer

– min(RAH) – buffer

• Radial resolution near app horizon ~ M/(200 x n) {n=1..8}

Checked evolution independence on choice made

[Choptuik,LL,Olabarrieta,Pretorius,Petryk,Villegas]

Page 25: Numerical ‘black hole’ simulations
Page 26: Numerical ‘black hole’ simulations

Super-critical case

Page 27: Numerical ‘black hole’ simulations

‘Event’ horizon

Curvature

Page 28: Numerical ‘black hole’ simulations

• Affine time, =es growing exponentially (~1022)

• “bifurcation” in infinite affine time certainly possible

• ‘cascade’ of unstable strings also possible

[Garfinkle-LL-Pretorius]

Page 29: Numerical ‘black hole’ simulations

•Problem: Kaluza-Klein ‘bubbles’–Positive mass thm (Witten) requires existence of certain (asymptotically constant) spinors. In 5d Kaluza-Klein theory (asymptotically R3xS1) these spinors are not guaranteed.

1.Are there negative mass configurations?

2.Is cosmic censorship valid?

•Answer to 1. Yes, negative mass configurations found

–Witten bubble (82): associated with instability of KK vacuum. More than 1 state with zero total energy.

–Brill-Pfister (89): explicit solutions to 5D vacuum constraints with negative mass.

–Brill-Horowitz (91): generalization to include ‘gauge’ fields.

•Qn: What’s the space-time like?

–Corley-Jacobson (94). Analyze area of the bubble, conclusion: It starts out expanding [collapsing], if this trend continues, unlikely to form a singularity.

•Conjecture: It will keep expanding [collapsing] out (otherwise go through another moment of time symmetry).

•But….. This only from estimates at the initial hypersurface… what does really happen?… Need to solve the eqns…

–Numerical effort (2000). Conclusion: negative mass bubbles expand but not forever…. At some point a naked singularity appears!!! (or does it?)

Page 30: Numerical ‘black hole’ simulations

• Consider:With U(r) 0 (for r=r+ ) a smooth function (U1 asymptotically)

Bubble is at r+.

Electrovac case, consider

Time symmetry (mom const =0); Hamiltonian constraint

With m,b constants. In particular MADM=m/4…but this can be negative

Initial acceleration of the bubble’s area [extending Corley-Jacobson]

• n=2. If m<0, bubble expands; m>0 both cases possible

• n>2. For k large, arbitrary negative acceleration with negative mass…sounds promising!

222122 )()( drdrrUdzrUds

....3,2;)( nRkrrkdxA nnu

u

nrkrbrmrU 222 /~

//1)(

]2][1[1 nnkmA

Revisiting the problem

Sarbach, LL PRD 03; 05.Sarbach, LL PRD 03; 05.

Page 31: Numerical ‘black hole’ simulations

Numerical evolution

• Variables functions of (t,r) only (1D evolution)• Understood constraint growth and suitable boundary conditions [a-la

Calabrese,LL,Tiglio 02]

• At bubble, regularity conditions used.

• Proved well posedness at continuum level, translated to the numerical arena thanks to SBP in a first order formulation.

• Improved resolution at bubble with a non-uniform radial coordinate.

k=0

Case studied numerically previously, nonaked singularity found, m<0 expands even faster than m>0

Page 32: Numerical ‘black hole’ simulations

More than we asked for…

What happens with a non-zero gauge field?• Choose n=2, and stick to cases where bubble starts out collapsing (positive mass)

Depending on field strength, the bubble either collapses (k<k*) to a black string or bounces back to expand (k>k*).

Changes behavior almost always without going through another moment of time symmetry

Last… it appears to approach a stationary solution… does it exist?

*kk

T

Page 33: Numerical ‘black hole’ simulations

Curvature invariant, sub/supra critical behaviorCurvature invariant, sub/supra critical behavior

Observation… there must be a static solution at the threshold

Page 34: Numerical ‘black hole’ simulations

• Put static anzats, solve resulting constraint and…

With V=(1-r-/r); U=(1-r+/r). And the parameters are obtained from

P=4r+(1-r-/r+)(3/2) and M=r+/4.

• New solution?… nah… obtained by ‘just’ analytically continuing that of a charged black string….[found in Horowitz-Maeda 03]

• Analyzed spectrum of operator and confirmed a

single growing mode ekt

• Pulsation operator, upper/lower bounds within a

suitable Hilbert space, Sturm-Liouville type problem

• Upon : tiz, zit eikz, k ~ 1/Lc

• Used to show a family of charged black strings becomes more unstable as charged is added (opposite to what was conjectured)

)(/)1/(32

1

)()(/)()(/)()( 2222222

rVdzrrdxA

dzrVrdzrVrUdrrUrVdtrVds

aa

Page 35: Numerical ‘black hole’ simulations

• What happened with the negative mass data that started contracting with arbitrary negative acceleration?– Bubble shrinks to arbitrarily small sizes, but ‘bounces’ back…

cosmic censorship stood its ground

Page 36: Numerical ‘black hole’ simulations

Final words• Numerical relativity can indeed provide ‘experimental’ set-up and pose new questions

• Critical phenomena

• Cosmology

• Bubble/black string problem

• Robust ‘generic’ implementations of Einstein equations will benefit (a lot!) from extra input ‘analytically’ obtained

• Estimates including lower order terms (problem dependent, but technique?)

• Estimates including constraint growth (or how to control them)

• Constraint preserving boundary conditions or how to go around them

• Radiative boundary conditions (no theory so far), how to proceed with non-constant characteristics?

• Translation of the above to numerics, implementation, resolution, etc + all the ‘extra-can-of-worms’ that come with this.

• In the mean time, we’ll do the best we can!