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Modeling gravitational few-body problems with tsunami and okinami

Published online by Cambridge University Press:  20 January 2023

Alessandro A. Trani Open the ORCID record for Alessandro A. Trani [Opens in a new window]  and
Mario Spera
Alessandro A. Trani*
Affiliation:
Department of Earth Science and Astronomy, College of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan Okinawa Institute of Science and Technology, 1919-1 Tancha, Onna-son, Okinawa 904-0495, Japan
Mario Spera
Affiliation:
SISSA, Via Bonomea 265, I-34136, Trieste, Italy INFN, Sezione di Trieste, I-34127 Trieste, Italy INFN, Sezione di Padova, Via Marzolo 8, I-35131, Padova, Italy
*
email: aatrani@gmail.com
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Abstract

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In recent years, an increasing amount of attention is being paid to the gravitational few-body problem and its applications to astrophysical scenarios. Among the main reasons for this renewed interest there is large number of newly discovered exoplanets and the detection of gravitational waves. Here, we present two numerical codes to model three- and few-body systems, called tsunami and okinami. The tsunami code is a direct few-body code with algorithmic regularization, tidal forces and post-Newtonian corrections. okinami is a secular, double-averaged code for stable hierarchical triples. We describe the main methods implemented in our codes, and review our recent results and applications to gravitational-wave astronomy, planetary science and statistical escape theories.

Keywords

stars: kinematics and dynamicsmethods: numericalgravitational wavesgravitation
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 16 , Symposium S362: The Predictive Power of Computational Astrophysics as a Discovery Tool , June 2020 , pp. 404 - 409
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

References

Howell, S. B., Sobeck, C., Haas, M., Still, M., Barclay, T., Mullally, F., Troeltzsch, J., Aigrain, S., Bryson, S. T., Caldwell, D., Chaplin, W. J., Cochran, W. D., Huber, D., Marcy, G. W., Miglio, A., Najita, J. R., Smith, M., Twicken, J. D., and Fortney, J. J. : 2014, PASP 126(938), 398 CrossRefGoogle Scholar
Hut, P. 1981, A&A 99, 126 Google Scholar
Kol, B. 2021, Celestial Mechanics and Dynamical Astronomy 133(4), 17 CrossRefGoogle Scholar
Livingston, J. H., Dai, F., Hirano, T., Gandolfi, D., Trani, A. A., Nowak, G., Cochran, W. D., Endl, M., Albrecht, S., Barragan, O., Cabrera, J., Csizmadia, S., de Leon, J. P., Deeg, H., Eigmüller, P., Erikson, A., Fridlund, M., Fukui, A., Grziwa, S., Guenther, E. W., Hatzes, A. P., Korth, J., Kuzuhara, M., Montanes, P., Narita, N., Nespral, D., Palle, E., Pätzold, M., Persson, C. M., Prieto-Arranz, J., Rauer, H., Tamura, M., Van Eylen, V., and Winn, J. N.: 2019, MNRAS 484(1), 8CrossRefGoogle Scholar
Manwadkar, V., Kol, B., Trani, A. A., and Leigh, N. W. C. : 2021, MNRAS 506(1), 692 Google Scholar
Manwadkar, V., Trani, A. A., and Leigh, N. W. C. : 2020, MNRAS 497(3), 3694 CrossRefGoogle Scholar
Mikkola, S. and Aarseth, S. J.: 1993, Celestial Mechanics and Dynamical Astronomy 57, 439 CrossRefGoogle Scholar
Mikkola, S. and Merritt, D.: 2008, AJ 135, 2398 CrossRefGoogle Scholar
Mikkola, S. and Tanikawa, K.: 1999a, MNRAS 310, 745 CrossRefGoogle Scholar
Mikkola, S. and Tanikawa, K.: 1999b, Celestial Mechanics and Dynamical Astronomy 74, 287 CrossRefGoogle Scholar
Naoz, S., Farr, W. M., Lithwick, Y., Rasio, F. A., and Teyssandier, J. : 2013, MNRAS 431(3), 2155 CrossRefGoogle Scholar
Rastello, S., Mapelli, M., di Carlo, U. N., Iorio, G., Ballone, A., Giacobbo, N., Santoliquido, F., and Torniamenti, S.: 2021, arXiv e-prints p. arXiv:2105.01669Google Scholar
Ricker, G. R., Winn, J. N., Vanderspek, R., Latham, D. W., Bakos, G. Á., Bean, J. L., Berta-Thompson, Z. K., Brown, T. M., Buchhave, L., Butler, N. R., Butler, R. P., Chaplin, W. J., Charbonneau, D., Christensen-Dalsgaard, J., Clampin, M., Deming, D., Doty, J., De Lee, N., Dressing, C., Dunham, E. W., Endl, M., Fressin, F., Ge, J., Henning, T., Holman, M. J., Howard, A. W., Ida, S., Jenkins, J. M., Jernigan, G., Johnson, J. A., Kaltenegger, L., Kawai, N., Kjeldsen, H., Laughlin, G., Levine, A. M., Lin, D., Lissauer, J. J., MacQueen, P., Marcy, G., McCullough, P. R., Morton, T. D., Narita, N., Paegert, M., Palle, E., Pepe, F., Pepper, J., Quirrenbach, A., Rinehart, S. A., Sasselov, D., Sato, B., Seager, S., Sozzetti, A., Stassun, K. G., Sullivan, P., Szentgyorgyi, A., Torres, G., Udry, S., and Villasenor, J.: 2015, Journal of Astronomical Telescopes, Instruments, and Systems 1, 014003 CrossRefGoogle Scholar
Samsing, J., Leigh, N. W. C., and Trani, A. A.: 2018, ArXiv e-prints Google Scholar
Stone, N. C. and Leigh, N. W. C.: 2019, Nature 576(7787), 406 CrossRefGoogle Scholar
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration, Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., Adhikari, R. X., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akcay, S., Akutsu, T., Albanesi, S., and Allocca, A. a.: 2021, arXiv e-prints p. arXiv:2111.03606Google Scholar
Trani, A. A.: 2020, in Bragaglia, A., Davies, M., Sills, A., and Vesperini, E. (eds.), Star Clusters: From the Milky Way to the Early Universe, Vol. 351, pp 174–177Google Scholar
Trani, A. A., Fujii, M. S., and Spera, M.: 2019a, ApJ 875(1), 42 CrossRefGoogle Scholar
Trani, A. A., Hamers, A. S., Geller, A., and Spera, M.: 2020, MNRAS 499(3), 4195 CrossRefGoogle Scholar
Trani, A. A., Rastello, S., Di Carlo, U. N., Santoliquido, F., Tanikawa, A., and Mapelli, M.: 2021a, arXiv e-prints p. arXiv:2111.06388Google Scholar
Trani, A. A., Spera, M., Leigh, N. W. C., and Fujii, M. S. 2019b, ApJ 885(2), 135 CrossRefGoogle Scholar
Trani, A. A., Tanikawa, A., Fujii, M. S., Leigh, N. W. C., and Kumamoto, J.: 2021b, MNRAS 504(1), 910 CrossRefGoogle Scholar