Spectral characteristic evolution: a new algorithm for gravitational wave propagation

被引:26
作者
Handmer, Casey J. [1 ]
Szilagyi, Bela [1 ]
机构
[1] CALTECH, Pasadena, CA 91125 USA
基金
美国国家科学基金会;
关键词
numerical relativity; gravitational radiation; general relativity; algorithm; spectral;
D O I
10.1088/0264-9381/32/2/025008
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present a spectral algorithm for solving the full nonlinear vacuum Einstein field equations in the Bondi framework. Developed within the Spectral Einstein Code, we demonstrate spectral characteristic evolution as a technical precursor to Cauchy characteristic extraction, a rigorous method for obtaining gauge-invariant gravitational waveforms from existing and future astrophysical simulations. We demonstrate the new algorithm's stability, convergence, and agreement with existing evolution methods. We explain how an innovative spectral approach enables a two orders of magnitude improvement in computational efficiency.
引用
收藏
页数:24
相关论文
共 41 条
  • [31] Software algorithm and hardware design for real-time implementation of new spectral estimator
    Ciaccio, Edward J.
    Biviano, Angelo B.
    Garan, Hasan
    BIOMEDICAL ENGINEERING ONLINE, 2014, 13
  • [32] Quasinormal-mode filters: A new approach to analyze the gravitational-wave ringdown of binary black-hole mergers
    Ma, Sizheng
    Mitman, Keefe
    Sun, Ling
    Deppe, Nils
    Hebert, Francois
    Kidder, Lawrence E.
    Moxon, Jordan
    Throwe, William
    Vu, Nils L.
    Chen, Yanbei
    PHYSICAL REVIEW D, 2022, 106 (08)
  • [33] Simulation of the orbit and spin period evolution of the double pulsars PSR J0737-3039 from their birth to coalescence induced by gravitational wave radiation
    Liu, Peng
    Yang, Yi-Yan
    Zhang, Jian-Wei
    Rah, Maria
    RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 21 (04)
  • [34] Gravitational wave GW170817: A new-born sub-millisecond pulsar and the properties of coalescing double neutron stars
    Yang, Y. Y.
    Zhang, C. M.
    Li, D.
    Chen, L.
    Linghu, R. F.
    Zhi, Q. J.
    Pan, Y. Y.
    Menezes, D.
    Chardonnet, P.
    NEW ASTRONOMY, 2019, 70 : 51 - 56
  • [35] A Hybrid Chebyshev Pseudo-Spectral Finite-Difference Time-Domain Method for Numerical Simulation of 2D Acoustic Wave Propagation
    Tong, Xiaozhong
    Sun, Ya
    MATHEMATICS, 2024, 12 (01)
  • [36] The spectral order of accuracy: A new unified tool in the design methodology of excitation-adaptive wave equation FDTD schemes
    Finkelstein, B.
    Kastner, R.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2009, 228 (24) : 8958 - 8984
  • [37] A new algorithm for concealed accessory pathway localization using T-wave-subtracted retrograde P-wave polarity during orthodromic atrioventricular reentrant tachycardia
    Thomas Rostock
    Karsten Sydow
    Daniel Steven
    Boris Lutomsky
    Helge Servatius
    Imke Drewitz
    Viktoria Falke
    Kai Müllerleile
    Rodolfo Ventura
    Thomas Meinertz
    Stephan Willems
    Journal of Interventional Cardiac Electrophysiology, 2008, 22 : 55 - 63
  • [38] A new algorithm for concealed accessory pathway localization using T-wave-subtracted retrograde P-wave polarity during orthodromic atrioventricular reentrant tachycardia
    Rostock, Thomas
    Sydow, Karsten
    Steven, Daniel
    Lutomsky, Boris
    Servatius, Helge
    Drewitz, Imke
    Falke, Viktoria
    Muellerleile, Kai
    Ventura, Rodolfo
    Meinertz, Thomas
    Willems, Stephan
    JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY, 2008, 22 (01) : 55 - 63
  • [39] Developing a New Algorithm Based on Statistical Analysis of the Spectral Behavior of Features for Extracting Training Data Automatically for Classification of Remotely Sensed Images
    Sahar Hoseynzadeh
    Farshid Farnood Ahmadi
    Journal of the Indian Society of Remote Sensing, 2020, 48 : 535 - 551
  • [40] Developing a New Algorithm Based on Statistical Analysis of the Spectral Behavior of Features for Extracting Training Data Automatically for Classification of Remotely Sensed Images
    Hoseynzadeh, Sahar
    Ahmadi, Farshid Farnood
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2020, 48 (04) : 535 - 551