CUED Publications database

Infrared Magnitude-Redshift Relations for Luminous Radio Galaxies

Inskip, KJ and Best, PN and Longair, MS and MacKay, DJC (2001) Infrared Magnitude-Redshift Relations for Luminous Radio Galaxies. Mon.Not.Roy.Astron.Soc., 329. 277-. (Unpublished)

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Infrared magnitude-redshift relations for the 3CR and 6C samples of radio galaxies are presented for a wide range of plausible cosmological models, including those with non-zero cosmological constant OmegaLambda. Variations in the galaxy formation redshift, metallicity and star formation history are also considered. The results of the modelling are displayed in terms of magnitude differences between the models and no-evolution tracks, illustrating the amount of K-band evolution necessary to account for the observational data. Given a number of plausible assumptions, the results of these analyses suggest that: (i) cosmologies which predict T_0xH_0>1 (where T_0 denotes the current age of the universe) can be excluded; (ii) the star formation redshift should lie in the redshift interval 5<z<20, values towards the lower end of the range being preferred in cosmologies with larger values of T_0xH_0; (iii) the Einstein-de Sitter model provides a reasonable fit to the data; (iv) models with finite values of OmegaLambda can provide good agreement with the observations only if appropriate adjustments of other parameters such as the galaxy metallicities and star-formation histories are made. Without such modifications, even after accounting for stellar evolution, the high redshift radio galaxies are more luminous (ie. more massive) than those nearby in models with finite OmegaLambda, including the favoured model with Omega=0.3, OmegaLambda=0.7. For cosmological models with larger values of T_0xH_0, the conclusions are the same regardless of whether any adjustments are made or not. The implications of these results for cosmology and models of galaxy formation are discussed.

Item Type: Article
Uncontrolled Keywords: astro-ph astro-ph
Divisions: Div F > Machine Intelligence
Depositing User: Cron job
Date Deposited: 16 Jul 2015 13:45
Last Modified: 28 Nov 2015 11:25
DOI: 10.1046/j.1365-8711.2002.04997.x