Abstract:In this paper, statistical distribution functions are developed for distance determination of stellar groups. This method depends on the assumption that absolute magnitudes and apparent magnitudes follow a Gaussian distribution function. Due to the limits of the integrands of the frequency function of apparent and absolute magnitudes, we introduce Case A, B, and C Gaussian distributions. The developed approaches have been implemented to determine distances to some clusters and stellar associations. The compari… Show more
“…The importance of the distance of F8V stars derives from that if its moving stellar vertex and its distance of each member are known, then one can easily determine the velocity of the cluster, the position of its centre [3,4] and also the distribution of the cluster's members about this centre [5,6].…”
The present paper is of three folds. First, to provide some basic descriptive statistics parameters for the apparent and absolute magnitudes of the nearby stars of spectral type F8V stars. Second, to establish the frequency functions and of the absolute and apparent magnitudes for these stars. Third, to compute the distance r of these stars as a system assuming that they scatter around a mean absolute magnitude in a Gaussian distribution. The accuracy of the numerical results is satisfactory thus, the percentage error between r and the mean value is less than 0 .7%.
“…The importance of the distance of F8V stars derives from that if its moving stellar vertex and its distance of each member are known, then one can easily determine the velocity of the cluster, the position of its centre [3,4] and also the distribution of the cluster's members about this centre [5,6].…”
The present paper is of three folds. First, to provide some basic descriptive statistics parameters for the apparent and absolute magnitudes of the nearby stars of spectral type F8V stars. Second, to establish the frequency functions and of the absolute and apparent magnitudes for these stars. Third, to compute the distance r of these stars as a system assuming that they scatter around a mean absolute magnitude in a Gaussian distribution. The accuracy of the numerical results is satisfactory thus, the percentage error between r and the mean value is less than 0 .7%.
“…We used the Gaussian approach (hereafter G B ) as suggested by Abdel-Rahman et al (2009) to model the distribution of the absolute magnitude, therefore, the distance d could be determined from the following relation…”
Section: Observational Data and Methods Of Analysismentioning
confidence: 99%
“…Calculating distance to the astronomical objects using statistical distributions is performed by many authors. Examples are, Sharaf et al (2003) used the Gaussian distribution function to estimate cosmological distance, Abdel-Rahman et al (2009) modified the method of Sharaf et al (2003) by change the limits of the integral and derive the distance equation and, Abdel-Rahman et al (2012) used the exponential distribution function to estimate the new distance equation.…”
In this paper, we determine the distances to Camelopardalis area and generates the mean absolute magnitudes and the dispersions for the spectral types and subtypes. The method of calculation depends on the assumption that absolute magnitudes and apparent magnitudes follow a Gaussian distribution function. The effect of Malmquist bias has been studied to show what extent bias is effective in comparison. We estimate the distances and generate the mean absolute magnitude and dispersions of all spectral types and subtypes. The nonsystematic difference between the calculated distances for different spectral types are remarkable, this may be attributed to the different chemical compositions and evolution scenarios of each spectral type.
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