The VST ATLAS Quasar Survey I: Catalogue
Abstract
We present the VST ATLAS Quasar Survey, consisting of quasar (QSO) candidates with over deg. The catalogue is based on VST ATLASNEOWISE imaging surveys and aims to reach a QSO sky density of deg for and deg for . One of the aims of this catalogue is to select QSO targets for the 4MOST Cosmology Redshift Survey. To guide our selection, we use X-ray/UV/optical/MIR data in the extended William Herschel Deep Field (WHDF) where we find a broad-line QSO density of deg, roughly consistent with the expected deg. We also find that % of our QSOs are morphologically classed as optically extended. Overall, we find that in these deep data, MIR, UV and X-ray selections are all % complete while X-ray suffers less contamination than MIR and UV. MIR is however more sensitive than X-ray or UV to QSOs at and the eROSITA limit. We then adjust the selection criteria from our previous 2QDES pilot survey and prioritise VST ATLAS candidates that show both UV and MIR excess, while also selecting candidates initially classified as extended. We test our selections using data from DESI (which will be released in DR1) and 2dF to estimate the efficiency and completeness of our selections, and finally we use ANNz2 to determine photometric redshifts for the QSO candidate catalogue. Applying over the deg ATLAS area gives us QSO candidates of which 472,000 are likely to be QSOs, implying a sky density of 100 deg, which our WHDF analysis suggests will rise to at least 130 deg when eROSITA X-ray candidates are included. At , we find candidates, of which 169,000 are likely to be QSOs for a sky density of deg.
Keywords
Cite
@article{arxiv.2211.07324,
title = {The VST ATLAS Quasar Survey I: Catalogue},
author = {Alice Eltvedt and T. Shanks and N. Metcalfe and B. Ansarinejad and L. F. Barrientos and R. Sharp and U. Malik and D. N. A. Murphy and M. Irwin and M. Wilson and D. M. Alexander and A. Kovacs and J. Garcia-Bellido and S. Ahlen and D. Brooks and A. de la Macorra and A. Font-Ribera and S. Gontcho a Gontcho and K. Honscheid and A. Meisner and R. Miquel and J. Nie and G. Tarlé and M. Vargas-Magaña and Z. Zhou},
journal= {arXiv preprint arXiv:2211.07324},
year = {2023}
}