English

The HI intensity mapping bispectrum including observational effects

Cosmology and Nongalactic Astrophysics 2021-08-11 v2

Abstract

The bispectrum is a 3-point statistic with the potential to provide additional information beyond power spectra analyses of survey datasets. Radio telescopes which broadly survey the 21cm emission from neutral hydrogen (HI) are a promising way to probe LSS and in this work we present an investigation into the HI intensity mapping (IM) bispectrum using simulations. We present a model of the redshift space HI IM bispectrum including observational effects from the radio telescope beam and 21cm foreground contamination. We validate our modelling prescriptions with measurements from robust IM simulations, inclusive of these observational effects. Our foreground simulations include polarisation leakage, on which we use a Principal Component Analysis cleaning method. We also investigate the effects from a non-Gaussian beam including side-lobes. For a MeerKAT-like single-dish IM survey at z=0.39z=0.39, we find that foreground removal causes a 8% reduction in the equilateral bispectrum's signal-to-noise ratio S/NS/N, whereas the beam reduces it by 62%. We find our models perform well, generally providing χdof21\chi^2_\text{dof}\sim 1, indicating a good fit to the data. Whilst our focus is on post-reionisation, single-dish IM, our modelling of observational effects, especially foreground removal, can also be relevant to interferometers and reionisation studies.

Keywords

Cite

@article{arxiv.2102.11153,
  title  = {The HI intensity mapping bispectrum including observational effects},
  author = {Steven Cunnington and Catherine Watkinson and Alkistis Pourtsidou},
  journal= {arXiv preprint arXiv:2102.11153},
  year   = {2021}
}

Comments

19 pages, 14 figures. The main results for telescope beam and foreground effects on the bispectrum can be found in Sec 3.2 and 3.3. Minor changes to text in Version 2 in response to referee report and an amendment to Fig 12 to include more information. Version 2 accepted for publication in MNRAS

R2 v1 2026-06-23T23:24:30.854Z