Cosmological test using the high-redshift detection rate of FSRQs with the Square Kilometre Array
Affiliation
Univ Arizona, Dept PhysUniv Arizona, Dept Phys, Appl Math Program
Univ Arizona, Dept Astron
Issue Date
2019-05-21Keywords
galaxies: generaldistance scale
large-scale structure of Universe
cosmology: observations
cosmology: theory
Metadata
Show full item recordPublisher
OXFORD UNIV PRESSCitation
Leaf, K., & Melia, F. (2019). Cosmological test using the high-redshift detection rate of FSRQs with the Square Kilometre Array. Monthly Notices of the Royal Astronomical Society, 487(2), 2030-2037.Rights
© 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We present a phenomenological method for predicting the number of flat-spectrum radio quasars (FSRQs) that should be detected by upcoming Square Kilometre Array (SKA) SKA1-MID Wide Band 1 and Medium-Deep Band 2 surveys. We use the Fermi blazar sequence and mass estimates of Fermi FSRQs, and gamma-ray emitting narrow-line Seyfert 1 galaxies, to model the radio emission of FSRQs as a function of mass alone, assuming a near-Eddington accretion rate, which is suggested by current quasar surveys at z greater than or similar to 6. This is used to determine the smallest visible black hole mass as a function of redshift in two competing cosmologies we compare in this paper: the standard Lambda cold dark matter (Lambda CDM) model and the R-h = ct universe. We then apply lockstep growth to the observed black hole mass function at z = 6 in order to devolve that population to higher redshifts and determine the number of FSRQs detectable by the SKA surveys as a function of z. We find that at the redshifts for which this method is most valid, Lambda CDM predicts similar to 30 times more FSRQs than R-h = ct for the Wide survey, and similar to 100 times more in the Medium-Deep survey. These stark differences will allow the SKA surveys to strongly differentiate between these two models, possibly rejecting one in comparison with the other at a high level of confidence.ISSN
0035-8711EISSN
1365-2966Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1093/mnras/stz1396