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PreprintarXiv licencearXiv

Towards constraining cosmology with HI--galaxy cross-correlations from MeerKLASS

  • G. Autieri
  • M. Spinelli
  • Z. Chen
  • M. Viel
  • M. Barberi-Squarotti
  • P. Bull
  • S. Camera
  • I. P. Carucci
  • S. Cunnington
  • J. Fonseca
  • K. Grainge
  • M. O. Irfan
5 more authors
  • Y. Li
  • A. Pourtsidou
  • M. G. Santos
  • J. Wang
  • L. Wolz
Open at sourcePDFDOICite

Abstract

We present an inference of cosmological parameters from the cross-correlation power spectrum between the MeerKLASS 2019 L-band HI intensity maps and the overlapping WiggleZ galaxies at z ≃ 0.43. The analysis is intended as a proof of concept to verify that the full pipeline, from the foreground cleaning of the maps to the likelihood analysis, can be applied end-to-end to real data and can return results consistent with the concordance cosmology. The model of the observed power spectrum includes observational effects that are relevant to a single-dish experiment. In the most optimistic scenario in which we hold the astrophysical nuisance parameters fixed, we obtain H0 = 65.3+5.8−10 km s−1 Mpc−1 and Ωm = 0.44+0.12−0.30 at the 68% confidence level. We find that sampling the HI amplitude with an informative prior retains most of the constraining power and changes these results by less than 1 sigma. Moreover, using synthetic data, we show that neglecting the observational effects in the model biases the inferred parameters by up to 2.5 sigma and also underestimates their uncertainties. Finally, we show that varying the number of foreground modes removed and the range of scales included changes the inferred parameters by less than 0.5 sigma. These results demonstrate the robustness of our pipeline in modelling HI intensity mapping data, and set the foundation for future cosmological inference with intensity mapping using MeerKLASS and SKAO.

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Cite

BibTeXRIS
BibTeX
@misc{autieri2026towards,
  title = {{Towards constraining cosmology with HI--galaxy cross-correlations from MeerKLASS}},
  author = {G. Autieri and M. Spinelli and Z. Chen and M. Viel and M. Barberi-Squarotti and P. Bull and S. Camera and I. P. Carucci and S. Cunnington and J. Fonseca and K. Grainge and M. O. Irfan and Y. Li and A. Pourtsidou and M. G. Santos and J. Wang and L. Wolz},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.38733},
  eprint = {2610.38733},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.38733},
}
RIS
TY  - UNPB
TI  - Towards constraining cosmology with HI--galaxy cross-correlations from MeerKLASS
AU  - G. Autieri
AU  - M. Spinelli
AU  - Z. Chen
AU  - M. Viel
AU  - M. Barberi-Squarotti
AU  - P. Bull
AU  - S. Camera
AU  - I. P. Carucci
AU  - S. Cunnington
AU  - J. Fonseca
AU  - K. Grainge
AU  - M. O. Irfan
AU  - Y. Li
AU  - A. Pourtsidou
AU  - M. G. Santos
AU  - J. Wang
AU  - L. Wolz
PY  - 2026
DA  - 2026/10/28
PB  - arXiv
DO  - 10.48550/arxiv.2610.38733
UR  - https://arxiv.org/abs/2610.38733
AB  - We present an inference of cosmological parameters from the cross-correlation power spectrum between the MeerKLASS 2019 L-band HI intensity maps and the overlapping WiggleZ galaxies at z ≃ 0.43. The analysis is intended as a proof of concept to verify that the full pipeline, from the foreground cleaning of the maps to the likelihood analysis, can be applied end-to-end to real data and can return results consistent with the concordance cosmology. The model of the observed power spectrum includes observational effects that are relevant to a single-dish experiment. In the most optimistic scenario in which we hold the astrophysical nuisance parameters fixed, we obtain H_0 = 65.3^+5.8_−10 km s^−1 Mpc^−1 and Ω_m = 0.44^+0.12_−0.30 at the 68% confidence level. We find that sampling the HI amplitude with an informative prior retains most of the constraining power and changes these results by less than 1 sigma. Moreover, using synthetic data, we show that neglecting the observational effects in the model biases the inferred parameters by up to 2.5 sigma and also underestimates their uncertainties. Finally, we show that varying the number of foreground modes removed and the range of scales included changes the inferred parameters by less than 0.5 sigma. These results demonstrate the robustness of our pipeline in modelling HI intensity mapping data, and set the foundation for future cosmological inference with intensity mapping using MeerKLASS and SKAO.
ER  -