Detecting galaxy clusters at 0.1 < z < 2.0
| dc.creator | Clewley, Lee | |
| dc.creator | van Breukelen, Caroline | |
| dc.creator | Bonfield, David | |
| dc.date | 2006-12-05 | |
| dc.date.accessioned | 2026-07-07T07:31:04Z | |
| dc.date.available | 2026-07-07T07:31:04Z | |
| dc.description | We present a new cluster-finding algorithm based on a combination of the Voronoi Tessellation and Friends-Of-Friends methods. The algorithm utilises probability distribution functions derived from a photometric redshift analysis and is tested on simulated cluster-catalogues. We use a 9 band photometric catalogue over 0.5 square degrees in the Subaru XMM-Newton Deep Field. The photometry is comprised of UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer bands and optical BVRi'z' imaging from the Subaru Telescope. The cluster catalogue contains 13 clusters at redshifts 0.61 <= z <= 1.39 with luminosities 10L* < L_tot < 50 L*. | |
| dc.description | 4 pages, 1 figure, To appear in the proceedings of 'At the Edge of the Universe' (9-13 October 2006, Sintra, Portugal) | |
| dc.identifier | https://arxiv.org/abs/astro-ph/0612118 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/0612118 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/118624 | |
| dc.subject | Astrophysics | |
| dc.title | Detecting galaxy clusters at 0.1 < z < 2.0 | |
| dc.type | text |