Compare Neutron Star Inspiral and Premature Collapse

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Compare Neutron Star Inspiral and Premature Collapse Jian Tao ( [email protected] ) Washington University Gravity Group MWRM-16 Nov 18 th , 2006

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Compare Neutron Star Inspiral and Premature Collapse. Jian Tao ( [email protected] ) Washington University Gravity Group MWRM-16 Nov 18 th , 2006. Introduction. Our numerical implementations Neutron star inspiral simulations and some comparisons to other groups’ results - PowerPoint PPT Presentation

Transcript of Compare Neutron Star Inspiral and Premature Collapse

Page 1: Compare Neutron Star Inspiral and Premature Collapse

Compare Neutron Star Inspiral and Premature Collapse

Jian Tao ( [email protected] )

Washington University Gravity Group

MWRM-16 Nov 18th, 2006

Page 2: Compare Neutron Star Inspiral and Premature Collapse

Introduction

Our numerical implementations Neutron star inspiral simulations and

some comparisons to other groups’ results

Premature collapse problem Conclusions and future plans

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GR-Astro-AMR implementation

Computer Science Side High level programming abstraction with Cactus Adaptive grid hierarchy implementation with GrACE Interconnection between Cactus and GrACE with PAGH

Physics Side Initializing with unigrid code or by

interpolating

existing data sets Evolving with GR-Astro-AMR (HRSC code) Analyzing with AMR and unigrid analysis

code

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Neutron star inspiral (I) Initial data (CFQE Spectral Data)

Binary Polytropic EOS EOS K=123.84 Gamma=2 Separation d : 39.5 km Omega : 2220.05 rad/s Baryon mass S1 : 1.625 M_sol Baryon mass S2 : 1.625 M_sol ADM mass : 2.995 M_sol Total ang mom: 8.53 M_sol^2

(K. Taniguchi, E. Gourgoulhon,Physical Review D 68, 124025, 2003)

Isolated Star Baryon mass : 1.625 M_sol ADM mass : 1.515 M_sol Proper radius : 11.99 M_sol

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Neutron star inspiral (II)

Zoomed into the central region

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Neutron star inspiral (III) Geodesic separation

Different touching time means different phase of gravitational waves

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Inspiral analysis (Rest Mass) Rest mass

Baryon number shouldn’t be changed Rest mass should stay the same

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Inspiral analysis (Rest Mass) Rest Mass

HRSC scheme helps to conserve the rest mass

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Inspiral analysis (Constraints) Constraints

Ham_Max and abs(Ham_Min) (left) Convergence test for evolution (right)

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Compare conserved quantities

dxyz = 0.46 M_s L=148 M_s(633,633,317) 240 GB memory

(Masaru Shibata, Keisuke Taniguchi & Koji Uryu, 2003)Less than 2.4GB memory

(GR-Astro-AMR results)

ADM Mass Small computational boundaries contribute to the

conservation of ADM mass by retaining gravitational waves

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Compare conserved quantities

dxyz = 0.46 M_s L=148 M_s(633,633,317) 240 GB memory

(Masaru Shibata, Keisuke Taniguchi & Koji Uryu, 2003)

Less than 2.4GB memory(GR-Astro-AMR results)

Angular Momentum Higher resolution better conservation Oscillations might come from initial data

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Premature Collapse Problem (I)

A Brief History J. Wilson and G. Mathews reported so called “neutron star

crushing effect” in 1995 Many papers published to disprove the crushing effect E. Flannagan pointed out an error in their formulation in

1999 J. Wilson and G. Mathews still found destabilization effect,

though small, in their simulations even after they fixed the error found by Flannagan

Mark Miller investigated the problem with fully dynamical general relativistic simulation in 2005

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Premature Collapse Problem (II)

Theoretical analysis (E. Flannagan, 1998)

post-Newtonian matched asymptotic expansion works when R/r is small

Simulations carried out by Mark Miller start with corotational binary system

Question : what if R/r is big ? How about irrotational binaries ?

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Decompression Effetc Numerical result

Proper radius of the isolated stars as R (same for both) Geodesic distance between two stars as the binary

separation

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Summary and future works Summary

GR-Astro-AMR code is applied to study neutron star inspirals and compared to a similar uni-grid similation by other groups

Investigated premature collapse problem with full general relativistic simulations

Future plans Investigate other possible sources of errors Try and implement 4th order finite difference operators Look into non-CFQE initial data