Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-25T00:44:39.293Z Has data issue: false hasContentIssue false

Atlas of Hα images for five hundred nearest dwarf galaxies

Published online by Cambridge University Press:  30 October 2019

Serafim S. Kaisin
Affiliation:
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhnij Arkhyz, Zelenchukskiy region, Karachai-Cherkessian Republic, Russia emails: skai@sao.ru, ikar@sao.ru
Igor D. Karachentsev
Affiliation:
Special Astrophysical Observatory of the Russian Academy of Sciences, Nizhnij Arkhyz, Zelenchukskiy region, Karachai-Cherkessian Republic, Russia emails: skai@sao.ru, ikar@sao.ru
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Results of mass imaging nearby dwarf galaxies in emission Hα line and red continuum with the 6-meter BTA telescope are available via the address: http://www.sao.ru/lv/lvgdb. The sample of dwarfs limited by a distance of 11 Mpc contains about 500 objects. Their Hα - fluxes are used to derive integrated and specific star formation rates of the galaxies. We evaluate the consistency between star formation rates obtained from our Hα-survey and GALEX far-ultraviolet survey. We fix a systematic rise of the ratio SFR(FUV)/SFR(Hα) with the decreasing stellar mass of dwarf galaxies. In the sample there were included only galaxies of late types: T = 10 (Ir), 9 (Im, BCD), 8 (Sdm), 7 (Sd), 6 (Scd), since elliptical and lenticular galaxies, and also spiral with massive bulges, have a significantly different history of star formation.

Type
Contributed Papers
Copyright
© International Astronomical Union 2019 

References

Bouchard, A., Da Costa, G. S., & Jerjen, H. 2009, AJ, 137, 3038 CrossRefGoogle Scholar
Epinat, B., Amram, P., & Marcelin, M. 2008, MNRAS, 390, 466 Google Scholar
Kaisin, S. S., & Karachentsev, I. D. 2003, ApJS, 147, 29 Google Scholar
Hunter, D. A., & Elmegreen, B. G. 2004, AJ, 128, 2170 CrossRefGoogle Scholar
James, P. A., Shane, N. S., & Beckman, J. E. et al. 2004, A&A, 414, 23 Google Scholar
Kaisin, S. S., Kasparova, A. V, Knyazev, A. Yu., & Karachentsev, I. D. 2007, AstL, 33, 283 Google Scholar
Kaisin, S. S., & Karachentsev, I. D. 2008, A&A, 479, 603 Google Scholar
Kaisin, S. S., Karachentsev, I. D., & Kaisina, E. I. 2011, Ap, 54, 315 Google Scholar
Kaisin, S. S., Karachentsev, I. D., & Ravindranath, S. 2012, MNRAS, 425, 2083 CrossRefGoogle Scholar
Kaisin, S. S., & Karachentsev, I. D. 2013, Ap, 56, 305 Google Scholar
Kaisin, S. S., & Karachentsev, I. D. 2013, AstBu, 68, 381 Google Scholar
Kaisin, S. S., & Karachentsev, I. D. 2014, AstBu, 69. 390 Google Scholar
Kaisin, S. S., & Karachentsev, I. D. 2018, AstBu, in pressGoogle Scholar
Kaisin, S. S., & Karachentsev, I. D. 2006, Ap, 49, 287 Google Scholar
Karachentsev, I. D., & Kaisin, S. S. 2007, AJ, 133, 1883 CrossRefGoogle Scholar
Karachentsev, I. D., & Kaisin, S. S. 2010, AJ, 140, 1241 CrossRefGoogle Scholar
Karachentsev, I. D. Kaisin, S. S., & Kaisina, E. I. 2015, Ap, 33, 58, 453 Google Scholar
Karachentsev, I. D., Kaisina, E. I., & Makarov, D. I., 2018, MNRAS, 480, 1697 Google Scholar
Kennicutt, R. C., Lee, J. C., & Funes, J. G. et al. 2008, ApJS, 178, 247 CrossRefGoogle Scholar
Meurer, G. R., Hanish, D. J., & Ferguson, H. C. et al. 2006, ApJS, 165, 307 CrossRefGoogle Scholar
Ricciardelli, E., Cava, A., Varela, J., & Quilis, V. 2015, MNRAS, 445, 4045 CrossRefGoogle Scholar