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Title: Predictions for measuring the 21-cm multifrequency angular power spectrum using SKA-Low
Authors: Mondal, Rajesh
Shaw, Abinash Kumar
Sarkar, Anjan Kumar
+5 Co-Authors
Keywords: methods:statistical
techniques: interferometric
cosmology: theory
dark ages
first stars
diffuse radiation
large-scale structure of Universe
Issue Date: May-2020
Publisher: Oxford University Press on behalf of the Royal Astronomical Society
Citation: Monthly Notices of the Royal Astronomical Society, 2020, Vol.494, p4043–4056
Abstract: The light-cone effect causes the mean as well as the statistical properties of the redshifted 21-cm signal Tb(n^,ν) to change with frequency ν (or cosmic time). Consequently, the statistical homogeneity (ergodicity) of the signal along the line-of-sight (LoS) direction is broken. This is a severe problem particularly during the Epoch of Reionization (EoR) when the mean neutral hydrogen fraction ( x¯HI ) changes rapidly as the Universe evolves. This will also pose complications for large bandwidth observations. These effects imply that the 3D power spectrum P(k) fails to quantify the entire second-order statistics of the signal as it assumes the signal to be ergodic and periodic along the LoS. As a proper alternative to P(k), we use the multifrequency angular power spectrum (MAPS) Cℓ(ν1,ν2) , which does not assume the signal to be ergodic and periodic along the LoS. Here, we study the prospects for measuring the EoR 21-cm MAPS using future observations with the upcoming SKA-Low. Ignoring any contribution from the foregrounds, we find that the EoR 21-cm MAPS can be measured at a confidence level ≥5σ at angular scales ℓ ∼ 1300 for total observation time tobs ≥ 128 h across ∼44 MHz observational bandwidth. We also quantitatively address the effects of foregrounds on MAPS detectability forecast by avoiding signal contained within the foreground wedge in (k⊥,k∥) plane. These results are very relevant for the upcoming large bandwidth EoR experiments as previous predictions were all restricted to individually analysing the signal over small frequency (or equivalent redshift) intervals.
Description: Open Access
ISSN: 0035-8711
1365-2966 (online)
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Copyright: 2020 The Author(s)
Appears in Collections:Research Papers (A&A)

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