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Searching for the nature of stars with debris disks and planets.

  • Published In: Astronomy & Astrophysics / Astronomie et Astrophysique, 2023, v. 671. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: de la Reza, R.; Chavero, C.; Roca-Fàbrega, S.; Llorente de Andrés, F.; Cruz, P.; Cifuentes, C. 3 of 3

Abstract

The nature of the few known solar-mass stars simultaneously containing debris disks and planets remains an open question. A number of works have shown that this property appears to be independent of planetary masses as well as of stellar age, but possible correlations with stellar kinematics and metallicity have not been investigated. In this paper, we show that the majority of known stars containing both debris disks and planets belong to the metal-enriched Galactic thin disk. The few exceptions are stars that seem to be born in the star formation peak occurring in times of thick disk formation (i.e., HD 10700, HD 20794, and HD 40307), that is, between 11 and 8 Gyr. The mass of the dusty disk of these three old stars measured at 70 μm is very small - in fact, it is lower than that of the Kuiper belt of our Solar system by several orders of magnitude. These results are not surprising, as they remain within the values expected for the stellar disk evolution of such primitive stars. In parallel, we found another six thick-disk stars containing only debris disks or planets. These results enable us to establish a correlation between stellar metallicity and the mass of the dust disk modulated by the different formation epochs of the thick and thin Galactic disks. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Astronomy & Astrophysics / Astronomie et Astrophysique. 2023/03, Vol. 671, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:0004-6361
  • DOI:10.1051/0004-6361/202245222
  • Accession Number:162696732
  • Copyright Statement:Copyright of Astronomy & Astrophysics / Astronomie et Astrophysique is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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