Main belt asteroids taxonomical information from dark energy survey data-Reference-Cited by-同舟云学术

Main belt asteroids taxonomical information from dark energy survey data

Published:2023-11-09 Issue:3 Volume:527 Page:6495-6505
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Carruba V¹²^ORCID,Camargo J I B²³^ORCID,Aljbaae S⁴^ORCID,Ferreira F S²³^ORCID,Lin E⁵^ORCID,Figueiredo-Peixoto V²³⁶^ORCID,Banda-Huarca M V²³^ORCID,Pieres A²^ORCID,Boufleur R C²³^ORCID,da Costa L N²^ORCID,Abbott T M C⁷^ORCID,Aguena M²^ORCID,Allam Sahar S⁸^ORCID,Alves O⁵^ORCID,Bernardinelli P H⁹^ORCID,Bertin E¹⁰¹¹^ORCID,Brooks D¹²^ORCID,Carnero Rosell A²¹³¹⁴^ORCID,Carretero J¹⁵^ORCID,Pereira M E S¹⁶^ORCID,Davis T M¹⁷^ORCID,De Vicente J¹⁸^ORCID,Desai S¹⁹^ORCID,Doel P¹²^ORCID,Ferrero I²⁰^ORCID,Friedel D²¹^ORCID,Frieman J⁸²²^ORCID,García-Bellido J²³^ORCID,Gatti M²⁴^ORCID,Giannini G¹⁵^ORCID,Gruen D²⁵^ORCID,Gruendl R A²¹²⁶^ORCID,Herner K⁸^ORCID,Hinton S R¹⁷^ORCID,Hollowood D L²⁷^ORCID,James D J²⁸^ORCID,Kent S⁸²²^ORCID,Kuehn K²⁹³⁰^ORCID,Lahav O¹²^ORCID,Marshall J L³¹^ORCID,Mena-Fernández J¹⁸^ORCID,Miquel R¹⁵³²^ORCID,Palmese A³³^ORCID,Plazas Malagón A A³⁴³⁵^ORCID,Rodríguez-Monroy M³⁶^ORCID,Sanchez E¹⁸^ORCID,Santiago B²³⁷^ORCID,Schubnell M⁵^ORCID,Smith M³⁸^ORCID,Suchyta E³⁹^ORCID,Swanson M E C^ORCID,Tarle G⁵^ORCID,Walker A R⁷^ORCID,Weaverdyck N⁵⁴⁰^ORCID,Wiseman P³⁸^ORCID,

Affiliation:

1. School of Natural Sciences and Engineering, São Paulo State University (UNESP) , 12516.410-Guaratingueta-SP , Brasil

2. Laboratório Interinstitucional de e-Astronomia - LIneA , 20765-000-Rio de Janeiro-RJ , Brazil

3. Observatório Nacional , Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400 , Brazil

4. National Space Research Institute (INPE) , Division of Space Mechanics and Control, C.P. 515, São José dos Campos SP-12227-310 , Brazil

5. Department of Physics, University of Michigan , Ann Arbor, MI 48109 , USA

6. IGeo - Universidade Federal do Rio de Janeiro , Av. Athos da Silveira Ramos 274, Rio de Janeiro RJ-21941-916 , Brazil

7. Cerro Tololo Inter-American Observatory, NSF’s National Optical-Infrared Astronomy Research Laboratory , Casilla 603, La Serena , Chile

8. Fermi National Accelerator Laboratory , P. O. Box 500, Batavia, IL 60510 , USA

9. Astronomy Department, University of Washington , Box 351580, Seattle, WA 98195 , USA

10. CNRS , UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris , France

11. Sorbonne Universités , UPMC Univ Paris 06, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris , France

12. Department of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT , UK

13. Instituto de Astrofisica de Canarias , E-38205 La Laguna, Tenerife , Spain

14. Universidad de La Laguna , Dpto. AstrofÃsica, E-38206 La Laguna, Tenerife , Spain

15. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology , Campus UAB, E-08193 Bellaterra (Barcelona) , Spain

16. Hamburger Sternwarte, Universität Hamburg , Gojenbergsweg 112, D-21029 Hamburg , Germany

17. School of Mathematics and Physics, University of Queensland , Brisbane QLD 4072 , Australia

18. Centro de Investigaciones Energéticas , Medioambientales y Tecnológicas (CIEMAT) 28040, Madrid , Spain

19. Department of Physics , IIT Hyderabad, Kandi, Telangana 502285 , India

20. Institute of Theoretical Astrophysics , University of Oslo. P.O. Box 1029 Blindern, NO-0315 Oslo , Norway

21. Center for Astrophysical Surveys, National Center for Supercomputing Applications , 1205 West Clark St., Urbana, IL 61801 , USA

22. Kavli Institute for Cosmological Physics, University of Chicago , Chicago, IL 60637 , USA

23. Instituto de Fisica Teorica UAM/CSIC , Universidad Autonoma de Madrid, E-28049 Madrid , Spain

24. Department of Physics and Astronomy, University of Pennsylvania , Philadelphia, PA 19104 , USA

25. University Observatory, Faculty of Physics, Ludwig-Maximilians-Universität , Scheinerstr. 1, D-81679 Munich , Germany

26. Department of Astronomy, University of Illinois at Urbana-Champaign , 1002 W. Green Street, Urbana, IL 61801 , USA

27. Santa Cruz Institute for Particle Physics , Santa Cruz, CA 95064 , USA

28. Center for Astrophysics, Harvard and Smithsonian , 60 Garden Street, Cambridge, MA 02138 , USA

29. Australian Astronomical Optics, Macquarie University , North Ryde, NSW 2113 , Australia

30. Lowell Observatory , 1400 Mars Hill Rd, Flagstaff, AZ 86001 , USA

31. George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University , College Station, TX 77843 , USA

32. Institució Catalana de Recerca i Estudis Avançats , E-08010 Barcelona , Spain

33. Department of Physics, Carnegie Mellon University , Pittsburgh, PA 15312 , USA

34. Kavli Institute for Particle Astrophysics and Cosmology , P. O. Box 2450, Stanford University, Stanford, CA 94305 , USA

35. SLAC National Accelerator Laboratory , Menlo Park, CA 94025 , USA

36. Laboratoire de Physique des 2 Infinis Irène Joliot-Curie,CNRS Université Paris-Saclay , Bât. 100, Faculté des sciences, F-91405 Orsay Cedex , France

37. Instituto de Física , UFRGS, Caixa Postal 15051, Porto Alegre, RS - 91501-970 , Brazil

38. School of Physics and Astronomy , University of Southampton, Southampton SO17 1BJ , UK

39. Computer Science and Mathematics Division, Oak Ridge National Laboratory , Oak Ridge, TN 37831 , USA

40. Lawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USA

Abstract

ABSTRACT While proper orbital elements are currently available for more than 1 million asteroids, taxonomical information is still lagging behind. Surveys like SDSS-MOC4 provided preliminary information for more than 100 000 objects, but many asteroids still lack even a basic taxonomy. In this study, we use Dark Energy Survey (DES) data to provide new information on asteroid physical properties. By cross-correlating the new DES data base with other data bases, we investigate how asteroid taxonomy is reflected in DES data. While the resolution of DES data is not sufficient to distinguish between different asteroid taxonomies within the complexes, except for V-type objects, it can provide information on whether an asteroid belongs to the C- or S-complex. Here, machine learning methods optimized through the use of genetic algorithms were used to predict the labels of more than 68 000 asteroids with no prior taxonomic information. Using a high-quality, limited set of asteroids with data on gri slopes and i − z colours, we detected 409 new possible V-type asteroids. Their orbital distribution is highly consistent with that of other known V-type objects.

Funder

CNPq

FAPERJ

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stad3466/53180628/stad3466.pdf

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