The University of Southampton
University of Southampton Institutional Repository

The cosmological evolution of the properties of powerful extragalactic radio sources and their environments

The cosmological evolution of the properties of powerful extragalactic radio sources and their environments
The cosmological evolution of the properties of powerful extragalactic radio sources and their environments

Radio galaxies and radio-loud quasars produce powerful collimated gas flows or jets interacting with the gas in their environments. Here we seek to develop a model for the evolution of the jet pa rameters and the properties of their environments during cosmological timescales. Combining the evolutionary model for individual radio sources from Kaiser, Dennett-Thorpe & Alexander (1997) with the Radio Luminosity Function from Willott et al. (2000), we perform multi-dimensional Monte Carlo simulations in order to compile artificial samples. We then compare their statistical properties with those of sources contained in the observed low frequency radio surveys, 3CRR, 6CE and 7CRS. We compare them on the radio luminosity (P) - linear size (D) diagram and use the two-dimensional Kolmogorov-Smimov test to search for the best fitting parameters for each evolutionary model describing the source population as a whole. We find that the environments of radio sources evolve with cosmological time, in the sense that sources at high red shift are located in denser environments. However, we do not find a significant connection between the jet power and the density of the environment.

University of Southampton
Wang, Yang
7bfb9a35-82f9-4580-a448-c4fbffc7959c
Wang, Yang
7bfb9a35-82f9-4580-a448-c4fbffc7959c

Wang, Yang (2007) The cosmological evolution of the properties of powerful extragalactic radio sources and their environments. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

Radio galaxies and radio-loud quasars produce powerful collimated gas flows or jets interacting with the gas in their environments. Here we seek to develop a model for the evolution of the jet pa rameters and the properties of their environments during cosmological timescales. Combining the evolutionary model for individual radio sources from Kaiser, Dennett-Thorpe & Alexander (1997) with the Radio Luminosity Function from Willott et al. (2000), we perform multi-dimensional Monte Carlo simulations in order to compile artificial samples. We then compare their statistical properties with those of sources contained in the observed low frequency radio surveys, 3CRR, 6CE and 7CRS. We compare them on the radio luminosity (P) - linear size (D) diagram and use the two-dimensional Kolmogorov-Smimov test to search for the best fitting parameters for each evolutionary model describing the source population as a whole. We find that the environments of radio sources evolve with cosmological time, in the sense that sources at high red shift are located in denser environments. However, we do not find a significant connection between the jet power and the density of the environment.

Text
1069911.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
Download (815kB)

More information

Published date: 2007

Identifiers

Local EPrints ID: 466248
URI: http://eprints.soton.ac.uk/id/eprint/466248
PURE UUID: b51ef362-a8ee-4998-a645-01ced463b9a1

Catalogue record

Date deposited: 05 Jul 2022 04:55
Last modified: 16 Mar 2024 20:35

Export record

Contributors

Author: Yang Wang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×