Detailed study of the ELAIS N1 field with the uGMRT - I. Characterizing the 325 MHz foreground for redshifted 21 cm observations

Abstract

In this first paper of the series, we present initial results of newly upgraded Giant Meterwave Radio Telescope (uGMRT) observation of European Large-Area ISO Survey-North 1 (ELAIS-N1) at 325 MHz with 32 MHz bandwidth. Precise measurement of fluctuations in Galactic and extragalactic foreground emission as a function of frequency as well as angular scale is necessary for detecting redshifted 21-cm signal of neutral hydrogen from Cosmic Dawn, Epoch of Reionization (EoR) and post-reionization epoch. Here, for the first time we have statistically quantified the Galactic and extragalactic foreground sources in the ELAIS-N1 field in the form of angular power spectrum using the newly developed Tapered Gridded Estimator (TGE). We have calibrated the data with and without direction-dependent calibration techniques. We have demonstrated the effectiveness of TGE against the direction dependent effects by using higher tapering of field of view (FoV). We have found that diffuse Galactic synchrotron emission (DGSE) dominates the sky, after point source subtraction, across the angular multipole range $1115⩽\ell ⩽5083$ and $1565⩽\ell ⩽4754$ for direction-dependent and -independent calibrated visibilities respectively. The statistical fluctuations in DGSE has been quantified as a power law of the form ${\mathcal{C}}_{\ell }=A{\ell }^{-\beta }$. The best fitted values of (A, $\beta$) are ($62\pm 6$ $m{K}^2$, $2.55\pm 0.3$) and ($48\pm 4$ $m{K}^2$, $2.28\pm 0.4$ ) for the two different calibration approaches. For both the cases, the power law index is consistent with the previous measurements of DGSE in other parts of sky.

arXiv comment13 pages, 5figures, 4 tables; accepted for publication in MNRAS

References in corpus (2)

• Planck 2018 results. I. Overview and the cosmological legacy of Planck
• BINGO: a single dish approach to 21cm intensity mapping

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• Extracting the 21-cm Power Spectrum and the reionization parameters from mock datasets using Artificial Neural Networks
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• Angular power spectrum of supernova remnants: effects of structure, geometry and diffuse foreground
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