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The impact of lunar topography on the 21-cm power spectrum for grid-based arrays: Insights for the Dark-ages EXplorer (DEX)

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Peer-reviewed

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Abstract

ABSTRACT The Dark Ages (DA) provides a crucial window into the physics of the infant Universe, with the 21-cm signal offering the only direct probe for mapping out the three-dimensional distribution of matter at this epoch. To measure this cosmological signal, the Dark-ages EXplorer (DEX) has been proposed as a compact, grid-based radio array on the lunar farside. The minimal design consists of a 32 $\times$ 32 array of 3-m dipole antennas, operating in the 7–50 MHz band. A practical challenge on the lunar surface is that the antennas may get displaced from their intended positions due to deployment imprecisions and non-coplanarity arising from local surface undulations. We present, for the first time, an end-to-end simulation pipeline, called SPADE-21 cm, that integrates a sky model with a DA 21-cm signal model simulated in the lunar frame and incorporating lunar topography data. We study the effects of both lateral (xy) and vertical (z) offsets on the two-dimensional power spectra across the 7–12 and 30–35 MHz spectral windows, with tolerance thresholds derived only for the latter. Our results show that positional offsets bias the power spectrum by 10–30 per cent relative to the expected 21-cm power spectrum during DA. Lateral offsets within $\sigma {xy}/\lambda \lesssim 0.027$ (at 32.5 MHz) keep the fraction of Fourier modes with strong contamination (>50 per cent of the signal) to less than 1 per cent, whereas vertical height offsets affect a larger fraction. This conclusion holds for the 21-cm window with $k\parallel \gt 0.5$  h cMpc$^{-1}$ over the range of $k_\perp = 0.003 {\text{-}} 0.009$  h cMpc$^{-1}$.

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Acknowledgements: We dedicate this work to the memory of our co-author, Albert-Jan Boonstra, whose insight and guidance help shaped this work, but who sadly passed away during its preparation. SG, LVEK, JKC, SAB, and SM acknowledge the financial support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 884760, ‘CoDEX’). EC would like to acknowledge support from the Centre for Data Science and Systems Complexity (DSSC), Faculty of Science and Engineering at the University of Groningen and from the Ministry of Universities and Research (MUR) through the PRIN project ‘Optimal inference from radio images of the epoch of reionization’. FGM acknowledges support from the I-DAWN project, funded by the DIM-ORIGINS programme. SG is grateful to Prasun Mahanti for directing to the relevant lunar surface topography data sources used in this work. This work extensively uses the numpy (C. R. Harris et al. 2020), scipy (P. Virtanen et al. 2020), python-casacore (B. Bean et al. 2022), astropy (Astropy Collaboration 2013, 2018, 2022), and matplotlib (J. D. Hunter 2007) python packages.

Journal Title

Monthly Notices of the Royal Astronomical Society

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Journal ISSN

0035-8711
1365-2966

Volume Title

546

Publisher

Oxford University Press (OUP)

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Except where otherwised noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/
Sponsorship
European Research Council (884760)