New Common Proper-Motion Pairs From the PPMX Catalog

TL;DR

This paper presents a data mining approach and software tool for discovering new common proper motion pairs in the PPMX catalog, automating the detection process and enabling efficient filtering.

Contribution

Development of specialized software that automates the detection of common proper motion pairs, leading to the discovery of 82 new pairs from the PPMX catalog.

Findings

Identified 82 previously unreported proper motion pairs.

Created software that simplifies and automates the detection process.

Demonstrated the software's flexibility with customizable scripts.

Abstract

We use data mining techniques for finding 82 previously unreported common proper motion pairs from the PPM-Extended catalogue. Special-purpose software automating the different phases of the process has been developed. The software simplifies the detection of the new pairs by integrating a set of basic operations over catalogues. The operations can be combined by the user in scripts representing different filtering criteria. This procedure facilitates testing the software and employing the same scripts for different projects.