AMI-LA observations of the SuperCLASS supercluster
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Authors
Riseley, CJ
Grainge, KJB
Perrott, YC
Scaife, AMM
Battye, RA
Beswick, RJ
Birkinshaw, M
Brown, ML
Casey, CM
Demetroullas, C
Hales, CA
Harrison, I
Hung, CL
Jackson, NJ
Muxlow, T
Watson, B
Cantwell, TM
Carey, SH
Elwood, PJ
Hickish, J
Jin, TZ
Razavi-Ghods, N
Scott, PF
Titterington, DJ
Publication Date
2018Journal Title
Monthly Notices of the Royal Astronomical Society
ISSN
0035-8711
Publisher
Oxford University Press (OUP)
Volume
474
Issue
4
Pages
5598-5613
Type
Article
Metadata
Show full item recordCitation
Riseley, C., Grainge, K., Perrott, Y., Scaife, A., Battye, R., Beswick, R., Birkinshaw, M., et al. (2018). AMI-LA observations of the SuperCLASS supercluster. Monthly Notices of the Royal Astronomical Society, 474 (4), 5598-5613. https://doi.org/10.1093/mnras/stx3118
Abstract
We present a deep survey of the SuperCLASS super-cluster - a region of sky
known to contain five Abell clusters at redshift $z\sim0.2$ - performed using
the Arcminute Microkelvin Imager (AMI) Large Array (LA) at 15.5$~$GHz. Our
survey covers an area of approximately 0.9 square degrees. We achieve a nominal
sensitivity of $32.0~\mu$Jy beam$^{-1}$ toward the field centre, finding 80
sources above a $5\sigma$ threshold. We derive the radio colour-colour
distribution for sources common to three surveys that cover the field and
identify three sources with strongly curved spectra - a high-frequency-peaked
source and two GHz-peaked-spectrum sources. The differential source count (i)
agrees well with previous deep radio source count, (ii) exhibits no evidence of
an emerging population of star-forming galaxies, down to a limit of 0.24$~$mJy,
and (iii) disagrees with some models of the 15$~$GHz source population.
However, our source count is in agreement with recent work that provides an
analytical correction to the source count from the SKADS Simulated Sky,
supporting the suggestion that this discrepancy is caused by an abundance of
flat-spectrum galaxy cores as-yet not included in source population models.
Sponsorship
European Research Council (307215)
Identifiers
External DOI: https://doi.org/10.1093/mnras/stx3118
This record's URL: https://www.repository.cam.ac.uk/handle/1810/283524
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