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A Census of Symbiotic Stars in the 2MASS, <i>WISE</i>, and <i>Gaia</i> Surveys
Indexado
WoS WOS:000457182400001
Scopus SCOPUS_ID:85062614383
DOI 10.3847/1538-4365/AAF88C
Año 2019
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



We present a new census of Galactic and extragalactic symbiotic stars (SySts). This compilation contains 323 known and 87 candidate SySts. Of the confirmed SySts, 257 are Galactic and 66 extragalactic. The spectral energy distributions (SEDs) of 348 sources have been constructed using 2MASS and AllWISE data. Regarding the Galactic SySts, 74% are S types, 13% D, and 3.5% D'. S types show an SED peak between 0.8 and 1.7. mu m, whereas D types show a peak at longer wavelengths between 2 and 4. mu m. D' types, on the other hand, display a nearly flat profile. Gaia distances and effective temperatures are also presented. According to their Gaia distances, S types are found to be members of both thin and thick Galactic disk populations, while S+IR and D types are mainly thin disk sources. Gaia temperatures show a reasonable agreement with the temperatures derived from SEDs within their uncertainties. A new census of the O VI lambda 6830 Raman-scattered line in SySts is also presented. From a sample of 298 SySts with available optical spectra, 55% are found to emit the line. No significant preference is found among the different types. The report of the O VI lambda 6830 Raman-scattered line in non-SySts is also discussed as well as the correlation between the Raman-scattered O VI line and X-ray emission. We conclude that the presence of the O VI Raman-scattered line still provides a strong criterion for identifying a source as a SySt.

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Disciplinas de Investigación



WOS
Astronomy & Astrophysics
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Akras, Stavros Hombre Observ Nacl MCTIC - Brasil
UNIV FED RIO DE JANEIRO - Brasil
Observatório Nacional - Brasil
Universidade Federal do Rio de Janeiro - Brasil
2 Guzman-Ramirez, Lizette Mujer Leiden Univ - Países Bajos
ESO - Chile
Leiden Observatory Research Institute - Países Bajos
European Southern Observatory Santiago - Chile
Sterrewacht Leiden - Países Bajos
3 Leal-Ferreira, Marcelo L. Hombre Leiden Univ - Países Bajos
UNIV BONN - Alemania
Leiden Observatory Research Institute - Países Bajos
Universität Bonn - Alemania
Sterrewacht Leiden - Países Bajos
4 Ramos-Larios, G. Hombre Inst Astron & Meteorol - México
Instituto de Astronomía y Meteorologia de la Universidad de Guadalajara - México

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Origen de Citas Identificadas



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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 2.86 %
Citas No-identificadas: 97.14 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 2.86 %
Citas No-identificadas: 97.14 %

Financiamiento



Fuente
PRODEP
CONACYT
National Science Foundation
Universidad de Guadalajara
NASA
National Aeronautics and Space Administration
NWO
CNPq, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - Brazil
SEP (Mexico)

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Agradecimientos



Agradecimiento
The authors thank the anonymous referee for the thorough revision and insightful comments and suggestions. S.A. and M.L. L.-F. acknowledge the support of CNPq, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - Brazil (grant 300336/2016-0 and 248503/2013-8, respectively). G.R.L. acknowledges support from Universidad de Guadalajara, CONACyT, PRODEP, and SEP (Mexico). L.G.R. is supported by NWO funding toward the Allegro group at Leiden University. Authors also thank Romano Corradi for helpful discussions. This publication made use of data from the Two Micron All-Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by NASA and the National Science Foundation, data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC;. https://www.cosmos.esa.int/web/gaia/dpac/consortium).Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication made also use of many software packages in PYTHON.

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