A search for debris disks in the Herschel ATLAS
M.A. Thompson, D.J.B. Smith, J.A. Stevens, M.J. Jarvis, E. Vidal, Perez, J. Marshall, L. Dunne, S. Eales, G.J. White, L. Leeuw, B. Sibthorpe,, M. Baes, E. Gonzalez-Solares, D. Scott, J. Vieiria, A. Amblard, R. Auld, D.G., Bonfield, D. Burgarella, S. Buttiglione, A. Cava

TL;DR
This study demonstrates that the Herschel ATLAS survey can effectively identify candidate debris disks around main sequence stars using a combination of photometric selection and Bayesian analysis, revealing a rare population of bright debris disks.
Contribution
The paper introduces a novel approach combining SDSS data, Bayesian likelihood, and Herschel observations to detect debris disks in an unbiased, blind survey.
Findings
Identified 78 sources associated with main sequence stars.
Found 2 plausible debris disk candidates among 851 stars.
Bright debris disks are rare, with only 2 candidates detected.
Abstract
Aims: We aim to demonstrate that the Herschel ATLAS (H-ATLAS) is suitable for a blind and unbiased survey for debris disks by identifying candidate debris disks associated with main sequence stars in the initial science demonstration field of the survey. We show that H-ATLAS reveals a population of far-infrared/sub-mm sources that are associated with stars or star-like objects on the SDSS main-sequence locus. We validate our approach by comparing the properties of the most likely candidate disks to those of the known population. Methods: We use a photometric selection technique to identify main sequence stars in the SDSS DR7 catalogue and a Bayesian Likelihood Ratio method to identify H-ATLAS catalogue sources associated with these main sequence stars. Following this photometric selection we apply distance cuts to identify the most likely candidate debris disks and rule out the presence…
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