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A new, clean catalogue of extragalactic non-nuclear X-ray sources in nearby galaxies

Abstract: We have created a new, clean catalogue of extragalactic non-nuclear X-ray sources by correlating the 3XMM-DR4 data release of the XMM?Newton Serendipitous Source Catalogue with the Third Reference Catalogue of Bright Galaxies and the Catalogue of Neighbouring Galaxies, using an improved version of the method presented in Walton et al. Our catalogue contains 1314 sources, of which 384 are candidate ultraluminous X-ray sources (ULXs). The resulting catalogue improves upon previous catalogues in its handling of spurious detections by taking into account XMM?Newton quality flags. We estimate the contamination of ULXs by background sources to be 24 per?cent. We define a ?complete? subsample as those ULXs in galaxies for which the sensitivity limit is below 1039?erg?s?1 and use it to examine the hardness ratio properties between ULX and non-ULX sources, and ULXs in different classes of host galaxy. We find that ULXs have a similar hardness ratio distribution to lower luminosity sources, consistent with previous studies. We also find that ULXs in spiral and elliptical host galaxies have similar distributions to each other independent of host galaxy morphology, however, our results do support previous indications that the population of ULXs is more luminous in star-forming host galaxies than in non-star-forming galaxies. Our catalogue contains further interesting subpopulations for future study, including Eddington Threshold sources and highly variable ULXs. We also examine the highest luminosity (LX > 5 × 1040?erg?s?1) ULXs in our catalogue in search of intermediate-mass black hole candidates, and find nine new possible candidates.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: MNRAS 483, 5554?5573 (2019)

Editorial: Oxford University Press

 Fecha de publicación: 01/03/2019

Nº de páginas: 20

Tipo de publicación: Artículo de Revista

 DOI: 10.1093/mnras/sty3403

ISSN: 0035-8711,1365-2966

Proyecto español: AYA2016-76730-P

Url de la publicación: https://doi.org/10.1093/mnras/sty3403