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TESTING THE LIMITATIONS OF A CHARACTERISTIC NUMERICAL RELATIVITY CODE

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Eleventh Marcel Grossmann Meeting on General ... An overview of the CHARACTERISTIC FORMALISM. CURRENT STATUS of the 3D code ... where qA is a complex dyad ... – PowerPoint PPT presentation

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Title: TESTING THE LIMITATIONS OF A CHARACTERISTIC NUMERICAL RELATIVITY CODE


1
TESTING THE LIMITATIONS OF A CHARACTERISTIC
NUMERICAL RELATIVITY CODE
  • Kevin Lai
  • Department of Mathematical Sciences
  • University of South Africa
  • Eleventh Marcel Grossmann Meeting on General
    Relativity
  • Berlin, July 23-29, 2006
  • Collaborators N. Bishop, B. Szilagyi, C.
    Reisswig, J. Thornburg
  • laicw_at_astro.unisa.ac.za
  • http//gauss1.unisa.ac.za/cwlai/talks/talks.html

2
Overview
  • MOTIVATION for a characteristic code
  • An overview of the CHARACTERISTIC FORMALISM
  • CURRENT STATUS of the 3D code
  • A brief outline of Bishops LINEARIZED ANALYTIC
    SOLUTIONS
  • Numerical RESULTS
  • Summary and future work

3
Motivation for a Characteristic Code
  • The most popular approach to NR is based on the
    31 FORMALISM, where spacetime is foliated into
    SPACELIKE hypersurfaces
  • STABILITY problem code crashes before it evolves
    to generate physically interesting results
  • Usually they need some sort of ARTIFICIAL OUTER
    BOUNDARY CONDITIONS, it may be hard to justify
    the consistency of the BCs with the system under
    consideration, and the accuracy of the results is
    in doubt
  • The calculation of gravitational waves can only
    be performed at a FINITE DISTANCE FROM THE
    SOURCE, the validity of which depends on how
    large the computational domain is. Also, the
    observational results for gravitational waves is
    effectively at infinite distance from the source

4
Motivation for a Characteristic Code
  • Another approach to NR is based on the
    CHARACTERISTIC FORMALISM, where spacetime is
    foliated according to the CHARACTERISTIC
    STRUCTURE
  • It has been demonstrated that characteristic code
    is capable of LONG-TERM EVOLUTION
  • The entire spacetime can be COMPACTIFIED into the
    computational domain, PHYSICALLY MOTIVATED
    BOUNDARY CONDITIONS can be incorporated
  • It employs the characteristics of the system of
    equations, it is therefore in a sense a more
    NATURAL choice of coordinate. The gravitational
    waves are evaluated at null infinity (Bondi
    et.al.)

5
Motivation for a Characteristic Code
  • The system of equations is decomposed into a
    hierarchical system of PDEs, an almost explicit
    integration scheme can be used, it is therefore
    likely to be more EFFICIENT than a 31 code
  • Some astrophysical systems, say, an ORBITING
    COMPACT STAR CAPTURED BY A BLACK HOLE, has not
    been solved by the traditional 31 approach. On
    the other hand, the characteristic approach has
    been used to give some promising results

6
Overview of Characteristic Formalism
  • Our spacetime is foliated into a family of
    outgoing null hypersurfaces labeled by u
  • The angular direction is labeled by xA
  • Surface area radial coordinate labeled by r
  • The Bondi-Sachs metric can be written as

7
Overview of Characteristic Formalism
  • Some metric components are represented by
    spin-weighted fields
  • where qA is a complex dyad
  • Einsteins equations are decomposed into
    hypersurface equations R11, qA R1A, hAB RAB for
    b, U, and W, evolution equation qA qB RAB for J,
    and constraint equations R0a . Angular
    derivatives are represented by the eth operators
  • Initial data are J on u0. Inner boundary data
    for J, b, U, and W which need to satisfy the
    constraints at rrmin

8
Current Status of the 3D Code
  • The current 3D code is derived from the PITT code
    developed at Pittsburgh by L. Lehner, N. Bishop,
    R. Gomez et.al. using the characteristic
    formalism
  • The code is rewritten using the framework
    provided by Cactus (B. Szilagyi, N. Bishop, C.
    Reisswig, J. Thornburg, C. W. Lai), and is
    capable of running in parallel on multiple
    processors. It has been tested on a cluster of 8
    processors, with a maximum resolution of 1613,
    and the CPU time roughly satisfy
  • Two different versions 2-patch stereographic
    angular coordinates and 6-patch angular
    coordinates

9
Current Status of the 3D Code
  • The code is 2nd order convergent
  • The PITT code has been used to model a MASSIVE
    PARTICLE ORBITING NEAR A SCHWARZSCHILD BLACK HOLE
    for small particle mass compared to the mass of
    the black hole (PRD68,084015, 2003)
  • Computed inspiral Dr-0.016 Quadrupole formula
    Dr-2.98x10-6 Perturbation method Dr-4.75x10-6
  • Computed rate of energy loss dE/du 2.669x10-13
  • Quadrupole formula dE/du 1.10x10-16
  • Perturbation method dE/du 1.75x10-16

10
Brief Outline of the Linearized Solutions
  • Construct linearized solutions using the same
    coordinates and metric variables as in the code
    so direct comparison between numerical and
    analytic solutions can be made. Intermediate
    quantities can be compared should there be any
    needs to trace where the discrepancies came from
  • Consider a matter distribution in the form of a
    thin, low density, spherical shell (
    ) which may vary over the angular direction
    around a Schwarzschild black hole ( )
    or empty space ( )
  • Density and metric variables are regarded as
    small quantities
  • where and
    Schwarzschild (vacuum) spacetime corresponds to
    . All
    2nd order quantities are ignored

11
Brief Outline of the Linearized Solutions
  • For simplicity we assume the quantities have
    harmonic time dependence and the angular
    dependence is simply the spin-weighted spherical
    harmonics which are the eigenfunctions of the
    eth operators
  • where

12
Brief Outline of the Linearized Solutions
  • Einstein equations are reduced to a system of
    ODEs, which can be solved analytically for cases
    where at least one of n or M vanishes. The news
    is given by
  • It turns out b0 is a constant throughout the
    vacuum region, and the solutions in general
    depend on 3 (complex) parameters b0, C1, C2

13
Brief Outline of the Linearized Solutions
  • The solution for l2 and M0 is
  • The news is given by

14
Brief Outline of the Linearized Solutions
  • The solution for l3 and M0 is
  • The news is given by

15
Numerical Results
  • The code is 2nd order convergence

16
Numerical Results
  • Noise developed in the interpatch region

17
Numerical Results
  • Ghost points of the blue patch lie on the grid
    lines of the other (red, green, yellow, pink)
    grids
  • Interpatch interpolation is effectively 1D, 4th
    order approximation of angular derivatives
    relatively straightforward to implement

18
Numerical Results
  • Comparison for 2-patch and 6-patch ( angular
    cells are roughly the same in all cases)

19
Numerical Results
20
Numerical Results
21
Numerical Results
22
Numerical Results
23
Numerical Results
24
Numerical Results
  • Dependence of convergent factor on l

25
Numerical Results
  • Assume Nq a x lb
  • Spectrum of a polytrope of radius 15km in an
    orbit at r10M around a Schwarzschild black hole
    of 10 solar mass
  • Roughly speaking, to resolve up to l40, Nq115

26
Summary and Future Work
  • We have a 2nd order convergent (including the
    news) parallel code for characteristic evolution
  • There is noise developed in the interpatch region
    in the 2-patch stereographic code which could be
    reduced by using the 6-patch method
  • A crude criteria for the minimum resolution
    required for the simulation of compact star
    orbiting a giant black hole is obtained
  • Actual simulation will be done soon!
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