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PreprintCC BY-NC-SA 4.0arXiv

Cosmology with Multi-Wavelength Line Intensity Mapping Synergies in the SKAO Era

12 more authors

Abstract

Line intensity mapping (LIM) has emerged as a powerful tool for surveying the large-scale structure of the Universe across cosmic time by measuring spatial fluctuations in the cumulative emission of spectral lines from unresolved sources or the intergalactic medium. Besides the most abundant 21-cm hyperfine line of neutral hydrogen, there are bright far-infrared fine-structure lines like [CII] 158 μm, [OIII] 88 μm, [NII] 122/205 μm, and [OI] 63 μm, as well as mid-/high-J CO rotational transitions, hydrogen Lyα and Hα as potential LIM probes. A key opportunity lies in combining and cross-correlating 21-cm intensity maps from SKAO with other line intensity maps, targeted by a range of ongoing and forthcoming LIM experiments that probe overlapping cosmic volumes. Cross-correlation between 21-cm maps and other line tracers mitigates uncorrelated systematics and enhances sensitivity to the underlying matter distribution, while multi-line analyses help disentangle cosmological and astrophysical parameters. Beyond cross-power spectra, higher-order and morphological statistics -- such as cross-bispectra, marked correlations, and morphological measures -- capture non-Gaussian features and the environmental dependence of structure formation. This chapter explores the synergies that can be achieved by combining SKAO observations with other line-intensity mapping experiments, demonstrating how such joint analyses can unlock new insights into galaxy evolution and cosmology.

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BibTeX
@misc{sarkar2026cosmology,
  title = {{Cosmology with Multi-Wavelength Line Intensity Mapping Synergies in the SKAO Era}},
  author = {Debanjan Sarkar and Suman Majumdar and Chandra Shekhar Murmu and Leon Noble and Manas Mohit Dosibhatla and Vishrut Pandya and José Luis Bernal and Yashrajsinh Mahida and Mohd Kamran and Caroline S. Heneka and Anshuman Tripathi and Samit Kumar Pal and Gabriella De Lucia and Fabio Fontanot and Matteo Viel and Marta Spinelli and Parth Kothari and Sarah Libanore and Abinash Kumar Shaw and Martin Sahlen and José Fonseca and Abhirup Datta and Ziad Sakr and Wenkai Hu},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2606.30224},
  eprint = {2606.30224},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.30224},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - Cosmology with Multi-Wavelength Line Intensity Mapping Synergies in the SKAO Era
AU  - Debanjan Sarkar
AU  - Suman Majumdar
AU  - Chandra Shekhar Murmu
AU  - Leon Noble
AU  - Manas Mohit Dosibhatla
AU  - Vishrut Pandya
AU  - José Luis Bernal
AU  - Yashrajsinh Mahida
AU  - Mohd Kamran
AU  - Caroline S. Heneka
AU  - Anshuman Tripathi
AU  - Samit Kumar Pal
AU  - Gabriella De Lucia
AU  - Fabio Fontanot
AU  - Matteo Viel
AU  - Marta Spinelli
AU  - Parth Kothari
AU  - Sarah Libanore
AU  - Abinash Kumar Shaw
AU  - Martin Sahlen
AU  - José Fonseca
AU  - Abhirup Datta
AU  - Ziad Sakr
AU  - Wenkai Hu
PY  - 2026
DA  - 2026/10/02
PB  - arXiv
DO  - 10.48550/arxiv.2606.30224
UR  - https://arxiv.org/abs/2606.30224
AB  - Line intensity mapping (LIM) has emerged as a powerful tool for surveying the large-scale structure of the Universe across cosmic time by measuring spatial fluctuations in the cumulative emission of spectral lines from unresolved sources or the intergalactic medium. Besides the most abundant 21-cm hyperfine line of neutral hydrogen, there are bright far-infrared fine-structure lines like [CII] 158 μm, [OIII] 88 μm, [NII] 122/205 μm, and [OI] 63 μm, as well as mid-/high-J CO rotational transitions, hydrogen Lyα and Hα as potential LIM probes. A key opportunity lies in combining and cross-correlating 21-cm intensity maps from SKAO with other line intensity maps, targeted by a range of ongoing and forthcoming LIM experiments that probe overlapping cosmic volumes. Cross-correlation between 21-cm maps and other line tracers mitigates uncorrelated systematics and enhances sensitivity to the underlying matter distribution, while multi-line analyses help disentangle cosmological and astrophysical parameters. Beyond cross-power spectra, higher-order and morphological statistics -- such as cross-bispectra, marked correlations, and morphological measures -- capture non-Gaussian features and the environmental dependence of structure formation. This chapter explores the synergies that can be achieved by combining SKAO observations with other line-intensity mapping experiments, demonstrating how such joint analyses can unlock new insights into galaxy evolution and cosmology.
ER  -