Determination of the density of scattered spherical data for use in star catalog uniformity

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Somayehee Farshad; Nikkhah Amir Ali; Roshanian Jafar

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Journal Paper

Paper Information

Journal: Journal of Space Science and Technology Year:2021 | Volume:14 | Issue:2 (پیاپی 47) Page(s): 103-110

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Information Journal Paper

Title

Determination of the density of scattered spherical data for use in star catalog uniformity

Author(s)

Somayehee Farshad | Nikkhah Amir Ali | Roshanian Jafar | Issue Writer Certificate

Keywords

star sensor

uniform star catalog

density of scattered data

Clustering

Abstract

In this paper, a new algorithm for determining the density of scattered data at the surface of the sphere is presented and then the proposed algorithm along with Geodesic Weighted K-Means Clustering and Deluany triangulation are used to make uniform star catalogs. Comparison of the results with the results of other related articles shows that the proposed algorithm resulted in a significant decrease in the probability of observing a large number of stars in all simulated star sensor fields of view. This improvement is due to the uniformity of the star catalog, especially in the celestial sphere poles due to the proposed density determination algorithm. On the other hand, the use of a proper data density algorithm has increased the likelihood of observing a few stars (such as 3 or 5) in all fields of view used in the Monte Carlo simulation.

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