Bibcode
Franzen, Thomas M. O.; Davies, Matthew L.; Davies, Rod D.; Davis, Richard J.; Feroz, Farhan; Génova-Santos, Ricardo; Grainge, Keith J. B.; Green, David A.; Hobson, Michael P.; Hurley-Walker, Natasha; Lasenby, Anthony N.; López-Caniego, Marcos; Olamaie, Malak; Padilla-Torres, Carmen P.; Pooley, Guy G.; Rebolo, Rafael; Rodríguez-Gonzálvez, Carmen; Saunders, Richard D. E.; Scaife, Anna M. M.; Scott, Paul F.; Shimwell, Timothy W.; Titterington, David J.; Waldram, Elizabeth M.; Watson, Robert A.; Zwart, Jonathan T. L.
Referencia bibliográfica
Monthly Notices of the Royal Astronomical Society, Volume 400, Issue 2, pp. 995-1005.
Fecha de publicación:
12
2009
Número de citas
17
Número de citas referidas
16
Descripción
Using the Arcminute Microkelvin Imager (AMI) at 16GHz and the Very Small
Array (VSA) at 33GHz to make follow-up observations of sources in the
New Extragalactic WMAP Point Source catalogue, we have investigated the
flux density variability in a complete sample of 97 sources over
time-scales of a few months to ~1.5yr.
We find that 53 per cent of the 93 sources, for which we have multiple
observations, are variable, at the 99 per cent confidence level, above
the flux density calibration uncertainties of ~4 per cent at 16GHz the
fraction of sources having varied by more than 20 per cent is 15 per
cent at 16GHz and 20 per cent at 33GHz. Not only is this common
occurrence of variability at high frequency of interest for source
physics, but also strategies for coping with source contamination in
cosmic microwave background work must take this variability into
account.
There is no strong evidence of a correlation between variability and
flux density for the sample as a whole. For those sources classified as
variable, the mean fractional rms variation in flux density increases
significantly with the length of time separating observation pairs.
Using a maximum likelihood method, we calculate the correlation in the
variability at the two frequencies in a subset of sources classified as
variable from both the AMI and VSA data and find the Pearson
product-moment correlation coefficient to be very high (0.955 +/-
0.034). We also find the degree of variability at 16GHz (0.202 +/-
0.028) to be very similar to that at 33GHz (0.224 +/- 0.039).
Finally, we have investigated the relationship between variability and
spectral index, α33.7513.9 (where S ~
ν-α), and find a significant difference in the
spectral indices of the variable sources (-0.06 +/- 0.05) and
non-variable sources (0.13 +/- 0.04).
We kindly request that any reference to this paper cites `AMI
Consortium: Franzen et al. 2009'.
Issuing author - email: t.franzen [at] mrao.cam.ac.uk (t[dot]franzen[at]mrao[dot]cam[dot]ac[dot]uk) ‡
E-mail: m.davies [at] mrao.cam.ac.uk (m[dot]davies[at]mrao[dot]cam[dot]ac[dot]uk)
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