Abstract
A major goal of cosmology is to understand the nature of the field(s) which drove primordial Inflation. Through future observations, the statistics of large-scale structure will allow us to probe primordial non-Gaussianity of the curvature perturbation at the end of Inflation. We show how a new correlation statistic can significantly improve these constraints over conventional methods. Next-generation radio telescope arrays are under construction which will map the density field of neutral hydrogen to high redshifts. These telescopes can operate as an interferometer, able to probe small scales, or as a collection of single dishes, combining signals to map the large scales. We show how to fuse these operating modes in order to measure the squeezed bispectrum with higher precision and greater economy. This leads to constraints on primordial non-Gaussianity that will improve on measurements by Planck, and out-perform other surveys such as Euclid. We forecast that σ(f NLloc)∼ 3, achieved by using a small subset, O(102 - 103), of the total number of accessible triangles. The proposed method identifies a low instrumental noise, systematic-free scale regime, enabling clean squeezed bispectrum measurements. This provides a pristine window into local primordial non-Gaussianity, allowing tight constraints not only on primordial non-Gaussianity, but on any observable that peaks in squeezed configurations.
Recommended Citation
D. Karagiannis et al., "Squeezing Information from Radio Surveys to Probe the Primordial Universe," Journal of Cosmology and Astroparticle Physics, vol. 2025, no. 8, article no. 029, IOP Publishing, Aug 2025.
The definitive version is available at https://doi.org/10.1088/1475-7516/2025/08/029
Department(s)
Physics
Publication Status
Open Access
Keywords and Phrases
inflation; non-gaussianity; redshift surveys
International Standard Serial Number (ISSN)
1475-7516
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 IOP Publishing, All rights reserved.
Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Aug 2025

Comments
European Commission, Grant ZA23GR03