KETJU: Post-Newtonian-Accurate Supermassive Black Hole Dynamics in GADGET-3

Antti Rantala; Pauli Pihajoki; Peter H. Johansson

doi:10.1017/S1743921316013004

KETJU: Post-Newtonian-Accurate Supermassive Black Hole Dynamics in GADGET-3

Antti Rantala, Pauli Pihajoki, Peter H. Johansson

Department of Physics

Research output: Contribution to journal › Conference article › Scientific

Abstract

We present KETJU, a new regularized tree code based on algorithmic chain regularization and implemented into Gadget-3. This new code is able to follow simultaneously galactic-scale dynamical and astrophysical processes and the small-scale supermassive black hole binary dynamics. We present here the general idea of this new code and show a test simulation of black hole binary dynamics in a galaxy merger of two massive elliptical galaxies. The separation of the black holes at the time of the merger is several orders of magnitude smaller in KETJU than when compared to ordinary Gadget-3 simulations. The merger timescale is also longer by 100 − 200 Myr.

Original language	English
Journal	Proceedings of the International Astronomical Union
Volume	12
Issue number	S324
Pages (from-to)	342-346
Number of pages	5
ISSN	1743-9213
DOIs	https://doi.org/10.1017/S1743921316013004
Publication status	Published - 1 May 2017
MoE publication type	B3 Article in conference proceedings
Event	IAU Symposium: New Frontiers in Black Hole Astrophysics - Cankarjev dom, Ljubljana, Slovenia Duration: 12 Sep 2016 → 16 Sep 2016 Conference number: 324

Fields of Science

115 Astronomy, Space science

Cite this

Rantala, A., Pihajoki, P., & Johansson, P. H. (2017). KETJU: Post-Newtonian-Accurate Supermassive Black Hole Dynamics in GADGET-3. Proceedings of the International Astronomical Union, 12(S324), 342-346. https://doi.org/10.1017/S1743921316013004

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abstract = "We present KETJU, a new regularized tree code based on algorithmic chain regularization and implemented into Gadget-3. This new code is able to follow simultaneously galactic-scale dynamical and astrophysical processes and the small-scale supermassive black hole binary dynamics. We present here the general idea of this new code and show a test simulation of black hole binary dynamics in a galaxy merger of two massive elliptical galaxies. The separation of the black holes at the time of the merger is several orders of magnitude smaller in KETJU than when compared to ordinary Gadget-3 simulations. The merger timescale is also longer by 100 − 200 Myr.",

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N2 - We present KETJU, a new regularized tree code based on algorithmic chain regularization and implemented into Gadget-3. This new code is able to follow simultaneously galactic-scale dynamical and astrophysical processes and the small-scale supermassive black hole binary dynamics. We present here the general idea of this new code and show a test simulation of black hole binary dynamics in a galaxy merger of two massive elliptical galaxies. The separation of the black holes at the time of the merger is several orders of magnitude smaller in KETJU than when compared to ordinary Gadget-3 simulations. The merger timescale is also longer by 100 − 200 Myr.

AB - We present KETJU, a new regularized tree code based on algorithmic chain regularization and implemented into Gadget-3. This new code is able to follow simultaneously galactic-scale dynamical and astrophysical processes and the small-scale supermassive black hole binary dynamics. We present here the general idea of this new code and show a test simulation of black hole binary dynamics in a galaxy merger of two massive elliptical galaxies. The separation of the black holes at the time of the merger is several orders of magnitude smaller in KETJU than when compared to ordinary Gadget-3 simulations. The merger timescale is also longer by 100 − 200 Myr.

KW - 115 Astronomy, Space science

U2 - 10.1017/S1743921316013004

DO - 10.1017/S1743921316013004

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EP - 346

JO - Proceedings of the International Astronomical Union

JF - Proceedings of the International Astronomical Union

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Access to Document

10.1017/S1743921316013004