Coordinate Data and Stars Identification in Astrophysical Catalogs

TL;DR

This paper develops a method for high-precision star identification in astrophysical catalogs, addressing issues of data reliability and conflicts in star data, to improve catalog accuracy.

Contribution

It introduces a new verification technique for star identification in large astrophysical catalogs, enhancing accuracy beyond the common 1 arc sec precision.

Findings

Successful identification of stars in Henry Draper Extension Charts and Variable stars catalogs.

Resolution of conflicts involving double and multiple star entries.

Demonstrated improved reliability of star data verification methods.

Abstract

The aim of our paper is to make high-precision positional stellar catalogs by compiling large astrophysical data bulk and large astrometrical surveys. The data reliability and uniqueness is the primary request. The common precision of 1 arc sec in coordinates is insufficient now to guarantee the simple identification of stars. Therefore the technique of catalogs verification become relevant. The paper presents the outcome of stars identification in The Henry Draper Extension Charts catalog and Variable stars catalog using proper method. Examples of conflicts permission concerning doubles and multiples stars in astrophysical catalogs are discussed.