Thomas Shanks tom.shanks@durham.ac.uk
Emeritus Professor
Clustering of quasars.
Shanks, T.; Fong, R.; Green, M.R.; Clowes, R.G.; Savage, A.
Authors
R. Fong
M.R. Green
R.G. Clowes
A. Savage
Abstract
Faint stars with ultraviolet excess are often found to be quasi-stellar objects (QSOs). We have formed a complete sample of such stars at the South Galactic Pole using machine measurements of UK Schmidt photographs. Statistical analysis of the stars' sky distribution shows evidence both that they are clustered amongst themselves and that they are anti-clustered with respect to faint galaxies.
Citation
Shanks, T., Fong, R., Green, M., Clowes, R., & Savage, A. (1983). Clustering of quasars. Monthly Notices of the Royal Astronomical Society, 203(1), 181-193. https://doi.org/10.1093/mnras/203.1.181
Journal Article Type | Article |
---|---|
Publication Date | 1983-05 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 203 |
Issue | 1 |
Pages | 181-193 |
DOI | https://doi.org/10.1093/mnras/203.1.181 |
Public URL | https://durham-repository.worktribe.com/output/1612266 |
You might also like
The VST ATLAS quasar survey I: Catalogue of photometrically selected quasar candidates
(2023)
Journal Article
VST ATLAS galaxy cluster catalogue I: cluster detection and mass calibration
(2023)
Journal Article
The local hole: a galaxy underdensity covering 90 per cent of sky to ≈200 Mpc
(2022)
Journal Article
The nature of sub-millimetre galaxies II: an ALMA comparison of SMG dust heating mechanisms
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search