WISE/2MASS-SDSS brown dwarfs candidates using Virtual Observatory tools
M. Aberasturi, E. Solano, E. L. Martin

TL;DR
This study demonstrates the effectiveness of Virtual Observatory tools in cross-matching large survey datasets to identify and characterize brown dwarf candidates, significantly increasing known objects and confirming the method's reliability.
Contribution
The paper introduces a novel approach using VO tools to efficiently identify brown dwarf candidates by cross-correlating multiple large survey catalogues, achieving high recovery rates.
Findings
Identified 31 brown dwarf candidates, including 6 new ones.
Recovered approximately 90% of known T dwarfs in the survey area.
Demonstrated VO tools' efficiency in large-scale brown dwarf searches.
Abstract
Massive far-red and infrared imaging surveys in different bandpasses are the main contributors to the discovery of brown dwarfs. The Virtual Observatory represents an adequate framework to handle these vast datasets efficiently and filter them out according to specific requirements. A statistically significant number of BDs is mandatory for understanding their general properties better for identifing peculiar objects. WISE, an all-sky survey in the mid-infrared, provides an excellent opportunity to increase the number of BDs significantly, in particular those at the lower end of the temperature scale. We aim to demonstrate that VO tools are efficient in identifing and characterizing BDs by cross-correlating public catalogues released by large surveys. Using VO tools we performed a cross-match of the WISE Preliminary Release, the 2MASS Point Source and the SDSS Data Release 7 catalogues…
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