1996
DOI: 10.1515/astro-1996-0307
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A study of dust cloud parameters by Vilnius photometry

Abstract: Abstract. Three-dimensional classification of stars based on their seven-color CCD photometry in the Vilnius system has been succesfully applied to study the small scale structure of interstellar dust clouds. In the present paper the statistical equations of Münch are modified and applied to stars located beyond the galactic absorbing layer. This particular use of Miinch's statistics and the properties of CCD photometry in the Vilnius system offer a better possibility of probing the small scale structure of in… Show more

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Cited by 5 publications
(5 citation statements)
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(4 reference statements)
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“…Smriglio et al (1989) have shown that the Sigma-Q classifications are in good agreement with the published MIv classifications. The GIC classifications are achieved interactively with an estimate of the photometric errors on the classification in each Q-Q diagram.…”
Section: Classification Of Starssupporting
confidence: 75%
“…Smriglio et al (1989) have shown that the Sigma-Q classifications are in good agreement with the published MIv classifications. The GIC classifications are achieved interactively with an estimate of the photometric errors on the classification in each Q-Q diagram.…”
Section: Classification Of Starssupporting
confidence: 75%
“…In total, we found 406 individual metallicity values for 188 open clusters in 64 publications. (Strömgren 1966), -Vilnius: a seven filter system (Smriglio et al 1990), -Washington: a four filter system introduced by Canterna (1976).…”
Section: Target Selection and Literature Assessmentmentioning
confidence: 99%
“…It is interesting to note that in a QCD, stars with the same spectral type, but different "normal" reddening, lie on a straight line parallel to the x-axis, as shown in Figure 2. By using an appropriate set of photometric filters, e.g., the automated two-dimensional classification from multicolor photometry in the Vilnius system [38][39][40][41][42], it would be possible to make a stellar classification with a set of reddening-free Q parameters. To calculate the standard error (σ Q ), we should consider that the Q parameter depends on the accuracy of the magnitudes and the color-excess ratio.…”
Section: Reddening-free Q Parametermentioning
confidence: 99%