The OGLE Collection of Variable Stars. Eclipsing Binaries in the Magellanic System

TL;DR

This paper presents a comprehensive catalog of over 48,000 eclipsing binary stars in the Magellanic Clouds, derived from the OGLE survey, including many newly identified systems, using machine learning techniques for classification.

Contribution

The paper introduces a large, publicly available catalog of eclipsing binaries in the Magellanic Clouds, created with a novel two-step Random Forest machine learning approach.

Findings

Catalog contains 48,605 eclipsing binaries, with 16,374 new discoveries.

Time-series photometry data provided for selected objects.

Machine learning effectively classified binary star systems.

Abstract

We present the collection of eclipsing binaries in the Large and Small Magellanic Clouds, based on the OGLE survey. It contains 48605 systems, 40204 belonging to the LMC and 8401 to the SMC. Out of the total number of the presented binaries, 16374 are the new ones. We present the time-series photometry obtained for the selected objects during the fourth phase of the OGLE project. The catalog has been created using a two step machine learning procedure based on the Random Forest algorithm.