The AARTFAAC Cosmic Explorer: Observations of the 21-cm power spectrum in the EDGES absorption trough

B. K. Gehlot, F. G. Mertens, L. V.E. Koopmans, A. R. Offringa, A. Shulevski, M. Mevius, M. A. Brentjens, M. Kuiack, V. N. Pandey, A. Rowlinson, A. M. Sardarabadi, H. K. Vedantham, R. A.M.J. Wijers, S. Yatawatta, S. Zaroubi

Research output: Contribution to journalArticlepeer-review

Abstract

The 21-cm absorption feature reported by the EDGES collaboration is several times stronger than that predicted by traditional astrophysical models. If genuine, a deeper absorption may lead to stronger fluctuations on the 21-cm signal on degree scales (up to 1 K in rms), allowing these fluctuations to be detectable in nearly 50 times shorter integration times compared to previous predictions. We commenced the 'AARTFAAC Cosmic Explorer' (ACE) program, which employs the AARTFAAC wide-field image, to measure or set limits on the power spectrum of the 21-cm fluctuations in the redshift range z = 17.9-18.6 (Δν = 72.36-75.09 MHz) corresponding to the deep part of the EDGES absorption feature. Here, we present first results from two LST bins: 23.5-23.75 and 23.75-24.00 h, each with 2 h of data, recorded in 'semi drift-scan' mode. We demonstrate the application of the new ACE data-processing pipeline (adapted from the LOFAR-EoR pipeline) on the AARTFAAC data. We observe that noise estimates from the channel and time-differenced Stokes V visibilities agree with each other. After 2 h of integration and subtraction of bright foregrounds, we obtain 2σ upper limits on the 21-cm power spectrum of Δ221 < (8139 mK)2 and Δ221 < (8549 mK)2 at k = 0.144 hcMpc−1 for the two LST bins. Incoherently averaging the noise bias-corrected power spectra for the two LST bins yields an upper limit of Δ221 < (7388 mK)2 at k = 0.144 hcMpc−1. These are the deepest upper limits thus far at these redshifts.

Original languageEnglish
Pages (from-to)4158-4173
Number of pages16
JournalMonthly Notices of the Royal Astronomical Society
Volume499
Issue number3
DOIs
StatePublished - 1 Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s)

Keywords

  • Dark ages
  • Diffuse radiation
  • First stars
  • Methods: data analysis
  • Methods: statistical
  • Radio lines: general
  • Reionization
  • Techniques: interferometric

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