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8 - Algorithmic Regularization

Published online by Cambridge University Press:  06 April 2020

Seppo Mikkola
Affiliation:
University of Turku, Finland
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Summary

The gravitational field of a black hole differs significantly from the point-mass field that is normally used in N-Body simulations. The additional terms needed are called Post-Newtonian ones and abbreviated as PN-terms. They depend in addition of coordinates also on velocities. Thus the methods discussed in Section~\ref{v-dependence} must be used in numerical integration. An other problem is that the orbital elements of two-body motions cannot any more be evaluatedin the same way as in the Newtonian point-mass dynamics. Finally one must remember that black holes rotate and form a so called Kerr-hole that produce a fielddiffering from the non-rotating one and the rotation, the black hole spin, changes due to interactions withother bodies. These complexities is discussed and formulae given in this short chapter

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Chapter
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Gravitational Few-Body Dynamics
A Numerical Approach
, pp. 173 - 210
Publisher: Cambridge University Press
Print publication year: 2020

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  • Algorithmic Regularization
  • Seppo Mikkola, University of Turku, Finland
  • Book: Gravitational Few-Body Dynamics
  • Online publication: 06 April 2020
  • Chapter DOI: https://doi.org/10.1017/9781108868105.010
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  • Algorithmic Regularization
  • Seppo Mikkola, University of Turku, Finland
  • Book: Gravitational Few-Body Dynamics
  • Online publication: 06 April 2020
  • Chapter DOI: https://doi.org/10.1017/9781108868105.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Algorithmic Regularization
  • Seppo Mikkola, University of Turku, Finland
  • Book: Gravitational Few-Body Dynamics
  • Online publication: 06 April 2020
  • Chapter DOI: https://doi.org/10.1017/9781108868105.010
Available formats
×