King Saud UniversityKSU Libraries Libraries Catalog

Author(s) M. B. Al-Malkit, I. A. Issal, Z. A. Mostafa1 and M. Youssef3
Affiliation 1Dept. of Astronomy, College of Science, King Saud University, P.O.Box 2455, Riyadh 11451, Saudi Arabia, E-mail malmalki@ ksu.edu.sa 2Institute of Astronomical and Geophysical Researches, King Abdulaziz City for Science and Technology, P. O. Box 6086, Riyadh 11442, Saudi Arabia 3Dowlog Technology Co., P. O. Box 6428, Riyadh 11516, Saudi Arabia
Title Software Cloud Counting (SWCC) in NGC 224 Distance Estimation,I
Source Journal of King Saud University. Science. Volume 10, No 2. (1998/1418)
Abstract About 41770 dark clouds were identified through a C++ program [ software cloud counting, SWCC] developed to study the dust content in NGC 224 (M31). The clouds were sorted out according to their opacities and then their areas. An old procedure developed by Issa [1,2] was used to study the apparent radius distribution function of dark clouds. The distance ofNGC 224 deduced from this method is 0.685 Mpc.