Methodological Frontiers in 21-cm Intensity Mapping: the Treatment of Systematics and Foreground Contamination

arXiv:2606.27244 · astro-ph.CO · Submitted 2026-06-25 · Read on arXiv

Marta Spinelli, Matilde Barberi-Squarotti, José Luis Bernal, Somnath Bharadwaj, Victor Bonjean, Philip Bull, Carmelita Carbone, Isabella P. Carucci, Stefano Camera, Suman Chatterjee, Tianyue Chen, Zhaoting Chen, Samir Choudhuri, Devin Crichton, Steven Cunnington, Bianca De Caro, Khandakar Md Asif Elahi, Jose Fonseca, Athanasia Gkogkou, Abhik Ghosh, Keith Grainge, Wenkai Hu, Melis O. Irfan, Yichao Li, Siyambonga Matshawule, Geoff Murphy, Simon Prunet, Mario G. Santos, Jean-Luc Starck, Jingying Wang, Laura Wolz, Zheng Zhang

astro-ph.CO

Submitted: 2026-06-25

Comments: Published in Advancing Astrophysics with the SKAII (AASKAII), 2026 (arXiv:2606.20366). Report-no:AASKAII/Spinelli01

Code: https://github.com/RCarloniGertosio/SDecGMCA

License: http://creativecommons.org/licenses/by-nc-sa/4.0/

The gist: The distribution of neutral hydrogen (HI) in the post-reionization universe traces the cosmic large-scale structure and therefore serves as a powerful cosmological probe.

Terminology

Abstract

The distribution of neutral hydrogen (HI) in the post-reionization universe traces the cosmic large-scale structure and therefore serves as a powerful cosmological probe. An efficient way to measure its distribution over wide sky areas and redshift ranges is through single-dish intensity mapping, which exploits the autocorrelation signal of each dish in a telescope array while scanning the same sky patch. Thanks to its broad frequency coverage and technical capabilities, SKA-Mid will enable measurements of the integrated 21 cm emission from HI up to redshift z about3, making single-dish intensity mapping a key observable for probing dark matter and dark energy. Isolating the faint 21 cm cosmological signal without introducing biases is, however, challenging. The 21 cm signal is several orders of magnitude weaker than the astrophysical foregrounds, and its analysis is further affected by instrumental systematics. Overcoming these difficulties requires detailed modelling together with continuous improvements and innovations in data-analysis techniques. Over the past decade, the international community has developed and tested new methods to address current observational challenges and prepare for forthcoming SKA-Mid observations. This chapter reviews recent advances in map-making and component-separation techniques, with particular emphasis on telescope-specific systematics such as beam response and correlated noise. We focus on results obtained in controlled simulation environments, providing a valuable framework for assessing the strengths and limitations of different approaches. Developing robust algorithms capable of accurately handling instrumental effects and sky-model uncertainties is a crucial step toward fully exploiting the cosmological potential of HI intensity-mapping surveys in the SKA Observatory era.

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