1997
DOI: 10.1086/118605
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Characteristics of KISO Ultraviolet Excess Galaxies

Abstract: We examined the general characteristics of the Kiso Ultra-violet Excess Galaxies (KUGs). We present for the first time the quantitative expressions for the criteria of the KUGs; the boundary color separating the KUGs from the non-KUGs is (B − V ) T = 0.74 and the KUG degrees of UV strength are found to correlate with the mean (B − V ) T colors. We investigate the nature of the KUGs, a sample of blue galaxy population, and show that (1) about a half of the KUGs are spiral galaxies with Sb to Scd, (2) the KUGs a… Show more

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Cited by 4 publications
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“…The KUGs, Kiso Ultraviolet-excess Galaxies, are a UV-excess galaxy sample surveyed by means of plates taken by the Kiso Observatory 1.05-m Schmidt telescope, the compiled catalog of which was given by Takase, Miyauchi-Isobe (1993). Tomita et al (1997) made a statistical analysis of the general properties of the KUGs. Takeuchi et al (1999) analyzed the KUG fraction, the fraction of being KUGs among all galaxies, and found regions where the KUG fractions are exceptionally high; the cluster region was included.…”
Section: Appendix 2 Kug Catalog In This Fieldmentioning
confidence: 99%
“…The KUGs, Kiso Ultraviolet-excess Galaxies, are a UV-excess galaxy sample surveyed by means of plates taken by the Kiso Observatory 1.05-m Schmidt telescope, the compiled catalog of which was given by Takase, Miyauchi-Isobe (1993). Tomita et al (1997) made a statistical analysis of the general properties of the KUGs. Takeuchi et al (1999) analyzed the KUG fraction, the fraction of being KUGs among all galaxies, and found regions where the KUG fractions are exceptionally high; the cluster region was included.…”
Section: Appendix 2 Kug Catalog In This Fieldmentioning
confidence: 99%
“…Thus, the KUG survey is a good sample of galaxies to use in examining objects that have experienced periods of star formation within the recent sub-Gyr in the Local Universe. Tomita et al (1997)(TTUS97) have quantified the general characteristics of a large number of KUGs using optical color, morphology, and FIR data. Here we briefly summarize their results.…”
Section: Introductionmentioning
confidence: 99%