Fast coordinate cross-match tool for large astronomical catalogue

TL;DR

This paper introduces a fast, multi-threaded algorithm for efficient coordinate cross-matching in large astronomical catalogs, improving speed and flexibility without constraints on storage or environment.

Contribution

It presents a novel multi-threaded algorithm that enhances the speed and efficiency of coordinate cross-matching in massive astronomical datasets.

Findings

Speed-up of data processing using multi-threading

Effective handling of large catalogues without storage constraints

Discussion of implementation challenges and solutions

Abstract

In this paper we presented the algorithm designed to efficient coordinate cross-match of objects in the modern massive astronomical catalogues. Preliminary data sort in the existed catalogues provides the opportunity for coordinate identification of the objects without any constraints with the storage and technical environment (PC). Using the multi-threading of the modern computing processors allows speeding up the program up to read-write data to the storage. Also the paper contains the main difficulties of implementing of the algorithm, as well as their possible solutions.