Publication:
Peculiar orbits and asymmetries in extreme trans-Neptunian space

Loading...
Thumbnail Image
Full text at PDC
Publication Date
2021-06-22
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
It is still an open question how the Solar system is structured beyond 100 au from the Sun. Our understanding of this vast region remains very limited and only recently we have become aware of the existence there of a group of enigmatic bodies known as the extreme transNeptunian objects (ETNOs) that have large orbits with perihelia beyond the orbit of Neptune. Four ETNOs —Sedna, Leleakuhonua, 2012 VP113, and 2013 SY99— have perihelia beyond 50 au. The study of the ETNOs may provide much needed information on how this remote region is organized. Here, we apply machine-learning techniques to the sample of 40 known ETNOs to identify statistically significant clusters that may signal the presence of true dynamical groupings and study the distribution of the mutual nodal distances of the known ETNOs that measure how close two orbits can get to each other. Machine-learning techniques show that the known ETNOs may belong to four different populations. Results from the analysis of the distribution of nodal distances show that 41 per cent of the known ETNOs have at least one mutual nodal distance smaller than 1.45 au (1st percentile of the distribution), perhaps hinting at past interactions. In this context, the peculiar pair of ETNOs made of 505478 (2013 UT15) and 2016 SG58 has a mutual ascending nodal distance of 1.35 au at 339 au from the Sun. In addition, the known ETNOs exhibit a highly statistically significant asymmetry between the distributions of object pairs with small ascending and descending nodal distances that might be indicative of a response to external perturbations.
Description
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society, Published by Oxford University Press on behalf of the RoyalAstronomical Society.
Keywords
Citation
Abedin A. Y. et al., 2021, AJ, 161, 195 Adams E. R., Gulbis A. A. S., Elliot J. L., Benecchi S. D., Buie M. W., Trilling D. E., Wasserman L. H., 2014, AJ, 148, 55 Arthur D., Vassilvitskii S., 2007, in Gabow H., ed., Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, Society for Industrial and Applied Mathematics Philadelphia, PA, USA, p. 1027 Bailey N., Fabrycky D., 2019, AJ, 158, 94 Bannister M. T. et al., 2018, ApJS, 236, 18 Batygin K., Brown M. E., 2016, AJ, 151, 22 Batygin K., Brown M. E., 2021, ApJ, 910, L20 Batygin K., Adams F. C., Brown M. E., Becker J. C., 2019, Phys. Rev., 805, 1 Becker J. C. et al., 2018, AJ, 156, 81 Bernardinelli P. H. et al., 2020a, PSJ, 1, 28 Bernardinelli P. H. et al., 2020b, ApJS, 247, 32 Bernstein G. M., Trilling D. E., Allen R. L., Brown M. E., Holman M., Malhotra R., 2004, AJ, 128, 1364 Bromley B. C., Kenyon S. J., 2016, ApJ, 826, 64 Bromley B. C., Kenyon S. J., 2020, AJ, 160, 85 Brown M. E., 2001, AJ, 121, 2804 Brown M. E., 2017, AJ, 154, 65 Brown M. E., Barkume K. M., Ragozzine D., Schaller E. L., 2007, Nature, 446, 294 Brown M. E., Trujillo C., Rabinowitz D., 2004, ApJ, 617, 645 Buie M. W. et al., 2003, Earth, Moon, and Planets, 92, 113 Buitinck L. et al., 2013, in Blockeel H., Kersting K., Nijssen S., Zelezny F., eds, ECML PKDD Workshop: Languages for Data Mining and Machine Learning, Springer-Verlag Berlin Heidelberg, p. 108 Chiang E. I., Brown M. E., 1999, AJ, 118, 1411 Chiang E. I., Jordan A. B., 2002, AJ, 124, 3430 Chiang E. I., 2002, ApJ, 573, L65 Chiang E. I. et al., 2003a, AJ, 126, 430 Chiang E. I., Lovering J. R., Millis R. L., Buie M. W., Wasserman L. H., Meech K. J., 2003b, Earth, Moon, and Planets, 92, 49 Clement M. S., Sheppard S. S., 2021, AJ, in press (arXiv:2105.01065) de la Fuente Marcos C., de la Fuente Marcos R., 2014, MNRAS, 443, L59 de la Fuente Marcos C., de la Fuente Marcos R., 2016, MNRAS, 462, 1972 de la Fuente Marcos C., de la Fuente Marcos R., 2018a, Res. Notes AAS, 2, 167 de la Fuente Marcos C., de la Fuente Marcos R., 2018b, MNRAS, 474, 838 de la Fuente Marcos C., de la Fuente Marcos R., 2021, A&A, 646, L14 de la Fuente Marcos C., de la Fuente Marcos R., Aarseth S. J., 2015, MNRAS, 446, 1867 de la Fuente Marcos C., de la Fuente Marcos R., Aarseth S. J., 2017, Ap&SS, 362, 198 de la Fuente Marcos C., de la Fuente Marcos R., Aarseth S. J., 2018, MNRAS, 476, L1 de León J., de la Fuente Marcos C., de la Fuente Marcos R., 2017, MNRAS, 467, L66 Dell’Oro A., Campo Bagatin A., Benavidez P. G., Alemañ R. A., 2013, A&A, 558, A95 Dones L., 1997, in Pendleton Y. J., Tielens A. G. G. M., Savage M. L., eds, ASP Conf. Ser. Vol. 122, From Stardust to Planetesimals. Astron. Soc. Pac., San Francisco, p. 347 Fienga A., Di Ruscio A., Bernus L., Deram P., Durante D., Laskar J., Iess L., 2020, A&A, 640, A6 Freedman D., Diaconis P., 1981, Z. Wahrscheinlichkeitstheorie verw. Gebiete, 57, 453 Gallardo T., 2006, Icarus, 184, 29 Gallardo T., 2020, Celest. Mech. Dyn. Astron., 132, 9 Ginsburg A. et al., 2019, AJ, 157, 98 Giorgini J., 2011, in Capitaine N., ed., Proceedings of the Journées 2010 “Systèmes de référence spatio-temporels” (JSR2010): New challenges for reference systems and numerical standards in astronomy, Observatoire de Paris, Paris, p. 87 Giorgini J. D., 2015, IAU General Assembly, Meeting #29, 22, 2256293 Gladman B., Kavelaars J. J., Nicholson P. D., Loredo T. J., Burns J. A., 1998, AJ, 116, 2042 Gladman B. et al., 2001, MPEC Circ., MPEC 2001-F42 Gladman B., Holman M., Grav T., Kavelaars J., Nicholson P., Aksnes K., Petit J.-M., 2002, Icarus, 157, 269 Harris C. R. et al., 2020, Nature, 585, 357 Hills J. G., 1981, AJ, 86, 1730 Holman M. J., Payne M. J., Blankley P., Janssen R., Kuindersma S., 2018, AJ, 156, 135 Hunter J. D., 2007, CSE, 9, 90 Ito T., Ohtsuka K., 2019, Monogr. Environ. Earth Planets, 7, 1 Jewitt D., Luu J., Trujillo C., 1998, AJ, 115, 2125 Kaib N. A., Sheppard S. S., 2016, AJ, 152, 133 Kaib N. A. et al., 2019, AJ, 158, 43 Kenyon S. J., Bromley B. C., 2004, Nature, 432, 598 Kenyon S. J., Bromley B. C., 2015, ApJ, 806, 42 Kenyon S. J., Bromley B. C., 2016, ApJ, 825, 33 Kenyon S. J., Bromley B. C., 2020, PSJ, 1, 40 Khain T. et al., 2020, AJ, 159, 133 Kozai Y., 1962, AJ, 67, 591 Lan L., Malhotra R., 2019, Celest. Mech. Dyn. Astron., 131, 39 Larsen J. A. et al., 2007, AJ, 133, 1247 Levison H. F., Dones L., Duncan M. J., 2001, AJ, 121, 2253 Lidov M. L., 1962, Planet. Space Sci., 9, 719 Lloyd S. P., 1957, IEEE Transactions on Information Theory, 28, 129 Lykawka P. S., Mukai T., 2007, Icarus, 192, 238 MacQueen J. B., 1967, in Le Cam L. M., Neyman, J., eds, Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, University of California Press, p. 281 Marcus R. A., Ragozzine D., Murray-Clay R. A., Holman M. J., 2011, ApJ, 733, 40 Millis R. L., Buie M. W., Wasserman L. H., Elliot J. L., Kern S. D., Wagner R. M., 2000, AAS/Div. Planet. Sci. Meeting Abstr., 32, 20.01 Moore N. W. H., Li G., Adams F. C., 2020, ApJ, 901, 92 Morbidelli A., Levison H. F., 2004, AJ, 128, 2564 Murray C. D., Dermott S. F., 1999, Solar System Dynamics, Cambridge Univ. Press, Cambridge, p. 71 Naess S. et al., 2021, ApJ, submitted (arXiv:2104.10264) Napier K. J. et al., 2021, PSJ, 2, 59 Nesvorný D., Vokrouhlický D., Roig F., 2016, ApJ, 827, L35 Park R. S., Folkner W. M., Williams J. G., Boggs D. H., 2021, AJ, 161, 105 Pedregosa F. et al., 2011, Journal of Machine Learning Research, 12, 2825 Perdelwitz V., Völschow M., Müller H. M., 2018, A&A, 615, A159 Pfalzner S., Bhandare A., Vincke K., Lacerda P., 2018, ApJ, 863, 45 Rice M., Laughlin G., 2020, European Planetary Science Congress 2020, 14, EPSC2020-420 Rickman H., Froeschlé C., Froeschlé C., Valsecchi G. B., 2004, A&A, 428, 673 Saillenfest M., 2020, Celest. Mech. Dyn. Astron., 132, 12 Saillenfest M., Fouchard M., Tommei G., Valsecchi G. B., 2017a, Celest. Mech. Dyn. Astron., 127, 477 Saillenfest M., Fouchard M., Tommei G., Valsecchi G. B., 2017b, Celest. Mech. Dyn. Astron., 129, 329 Saillenfest M., Fouchard M., Ito T., Higuchi A., 2019, A&A, 629, A95 Shankman C. et al., 2017, AJ, 154, 50 Sheppard S. S., Trujillo C. A., Tholen D. J., Kaib N., 2019, AJ, 157, 139 Sheppard S., Trujillo C., Tholen D., 2019, EPSC-DPS Joint Meeting 2019, 13, EPSC-DPS2019-1528 Smullen R. A., Volk K., 2020, MNRAS, 497, 1391 Steinhaus H., 1957, Bull. Acad. Polon. Sci., 4, 801 Stern S. A., 2005, AJ, 129, 526 Trujillo C. A., Sheppard S. S., 2014, Nature, 507, 471 Van der Walt S., Colbert S. C., Varoquaux G., 2011, CSE, 13, 22 Virtanen P. et al., 2020, Nature Methods, 17, 261 Volk K., Malhotra R., 2017a, AJ, 154, 62 Volk K., Malhotra R., 2017b, AJ, 154, 212 Volk K. et al., 2018, AJ, 155, 260 Volk K., Malhotra R., Graham S., 2021, BAAS, 53, 5, 305.01 Von Neumann J., 1951, in Householder A. S., Forsythe G. E., Germond H. H., eds, National Bureau of Standards Applied Mathematics Series, 12 US Government Printing Office, Washington, DC, p. 36 Von Zeipel H., 1910, AN, 183, 345 Wall J. V., Jenkins C. R., 2012, Practical Statistics for Astronomers. Cambridge Univ. Press, Cambridge
Collections