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Alternative classification diagrams for AGN-starburst galaxies

Published online by Cambridge University Press:  29 March 2021

Catarina P. Aydar
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosférias, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil email: catarina.aydar@usp.br
J. E. Steiner
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosférias, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil email: catarina.aydar@usp.br
Oli Dors Jr
Affiliation:
Instituto de Pesquisa & Desenvolvimento, Universidade do Vale do Paraíba, 12244-390, São José dos Campos, SP, Brazil
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Abstract

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The aim of diagnostic diagrams is to classify galactic nuclei according to their photoionizing source using emission-line ratios, differentiating starburst regions from active galactic nuclei (AGN). However, the three traditional diagnostic diagrams can sometimes be ambiguous with regard to a single object. The main goal of the present work is to propose alternative diagnostic diagrams by using distinct combinations of emission lines ratios. We present these diagrams using data from the Sloan Digital Sky Survey. With these new diagrams, it is possible to better distinguish the ionizing source in nuclei of galaxies and also to study the parameters that are relevant when considering both kinds of objects, starbursts and AGN.

Type
Contributed Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

Abazajian, K. N., Adelman-McCarthy, J. K., & The SDSS Colaboration ApJS, 182, 543 10.1088/0067-0049/182/2/543CrossRefGoogle Scholar
Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5 10.1086/130766CrossRefGoogle Scholar
Heckman, T. M. 1980, A&A, 87, 152 Google Scholar
Kauffmann, G., Heckman, T. M., et al. MNRAS, 346, 1055 10.1111/j.1365-2966.2003.07154.xCrossRefGoogle Scholar
Kewley, L. J., Dopita, M. A., Sutherland, R. S., et al. ApJ, 556, 121 10.1086/321545CrossRefGoogle Scholar
Schawinski, K., Thomas, D., Sarzi, M., et al. MNRAS, 382, 1415 10.1111/j.1365-2966.2007.12487.xCrossRefGoogle Scholar
Vila-Costas, M. B. & Edmunds, M. G. 1993, MNRAS, 265, 199 10.1093/mnras/265.1.199CrossRefGoogle Scholar