Issue |
A&A
Volume 627, July 2019
|
|
---|---|---|
Article Number | A124 | |
Number of page(s) | 21 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/201935006 | |
Published online | 11 July 2019 |
Near-Earth asteroids spectroscopic survey at Isaac Newton Telescope★
1
Instituto de Astrofísica de Canarias (IAC),
C/Vía Láctea s/n,
38205
La Laguna,
Tenerife, Spain
e-mail: mpopescu@iac.es
2
Departamento de Astrofísica, Universidad de La Laguna,
38206
La Laguna,
Tenerife, Spain
3
Astronomical Institute of the Romanian Academy,
5 Cuţitul de Argint,
040557
Bucharest,
Romania
4
Isaac Newton Group of Telescopes (ING),
Apto. 321,
38700
Santa Cruz de la Palma,
Canary Islands, Spain
5
Astroclubul Bucureşti,
B-dul Lascăr Catargiu 21, sect 1, Bucharest, Romania
6
Faculty of Physics, Bucharest University,
405 Atomistilor str,
077125
Magurele,
Ilfov,
Romania
7
Department of Earth and Planetary Sciences, University of California,
Riverside,
CA 92521, USA
8
Observatório Nacional, Coordenação de Astronomia e Astrofísica,
20921-400
Rio de Janeiro, Brazil
9
Faculty of Sciences, University of Craiova, Craiova,
Romania
10
Florida Space Institute, University of Central Florida,
Orlando,
FL 32816, USA
11
Fundación Galileo Galilei – INAF, Rambla José Ana Fernández Pérez,
7,
38712
Breña Baja, Spain
12
National Solar Observatory, 3665 Discovery Drive,
Boulder,
CO 80303, USA
13
Departamento de Física Aplicada I, Universidad del País Vasco / Euskal Herriko Unibertsitatea,
Bilbao, Spain
Received:
2
January
2019
Accepted:
22
May
2019
Context. The population of near-Earth asteroids (NEAs) shows a large variety of objects in terms of physical and dynamical properties. They are subject to planetary encounters and to strong solar wind and radiation effects. Their study is also motivated by practical reasons regarding space exploration and long-term probability of impact with the Earth.
Aims. We aim to spectrally characterize a significant sample of NEAs with sizes in the range of ~0.25–5.5 km (categorized as large), and search for connections between their spectral types and the orbital parameters.
Methods. Optical spectra of NEAs were obtained using the Isaac Newton Telescope (INT) equipped with the IDS spectrograph. These observations are analyzed using taxonomic classification and by comparison with laboratory spectra of meteorites.
Results. A total number of 76 NEAs were observed. We spectrally classified 44 of them as Q/S-complex, 16 as B/C-complex, eight as V-types, and another eight belong to the remaining taxonomic classes. Our sample contains 27 asteroids categorized as potentially hazardous and 31 possible targets for space missions including (459872) 2014 EK24, (436724) 2011 UW158, and (67367) 2000 LY27. The spectral data corresponding to (276049) 2002 CE26 and (385186) 1994 AW1 shows the 0.7 μm feature which indicates the presence of hydrated minerals on their surface. We report that Q-types have the lowest perihelia (a median value and absolute deviation of 0.797 ± 0.244 AU) and are systematically larger than the S-type asteroids observed in our sample. We explain these observational evidences by thermal fatigue fragmentation as the main process for the rejuvenation of NEA surfaces.
Conclusions. In general terms, the taxonomic distribution of our sample is similar to the previous studies and matches the broad groups of the inner main belt asteroids. Nevertheless, we found a wide diversity of spectra compared to the standard taxonomic types.
Key words: minor planets, asteroids: general / techniques: spectroscopic / methods: observational
All optical data from INT are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/627/A124
© ESO 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.