Cosmological constraints from low redshift 21 cm intensity mapping with machine learning
Year: 2023
Type: article
Abstract: ABSTRACT The future 21 cm intensity mapping observations constitute a promising way to trace the matter distribution of the Universe and probe cosmology. Here, we assess its capability for cosmological constraints using as a case study the BINGO radio telescope, that will survey the Universe at low redshifts (0.13 < z < 0.45). We use neural networks (NNs) to map summary statistics, namely, the angular power spectrum (APS) and the Minkowski functionals (MFs), calculated from simulations into cosmological parameters. Our simulations span a wide grid of cosmologies, sampled under the ΛCDM scenario, {Ωc, h}, and under an extension assuming the Chevallier–Polarski–Linder (CPL) parametrization, {Ωc, h, w0, wa}. In general, NNs trained over APS outperform those using MFs, while their combination provides 27 per cent (5 per cent) tighter error ellipse in the Ωc–h plane under the ΛCDM scenario (CPL parametrization) compared to the individual use of the APS. Their combination allows predicting Ωc and h with 4.9 and 1.6 per cent fractional errors, respectively, which increases to 6.4 and 3.7 per cent under CPL parametrization. Although we find large bias on wa estimates, we still predict w0 with 24.3 per cent error. We also confirm our results to be robust to foreground contamination, besides finding the instrumental noise to cause the greater impact on the predictions. Still, our results illustrate the capability of future low-redshift 21 cm observations in providing competitive cosmological constraints using NNs, showing the ease of combining different summary statistics.
Authors: Camila P Novaes, Eduardo J de Mericia, Filipe B Abdalla, Carlos A Wuensche, Larissa Santos, Jacques Delabrouille, Mathieu Remazeilles, Vincenzo Liccardo, Elcio Abdalla, Luciano Barosi, Amilcar Queiroz, Thyrso Villela, Bin Wang, Chang Feng, Ricardo Landim, Alessandro Marins, João R L Santos, Jiajun Zhang
Institutions: Instituto Nacional de Pesquisas Espaciais, Universidade de São Paulo, Rhodes University, University College London, Yangzhou University, University of Science and Technology of China, Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Saclay, Laboratoire AstroParticule et Cosmologie, CEA Paris-Saclay, Institut National de Physique Nucléaire et de Physique des Particules, Institut de Recherche sur les Lois Fondamentales de l'Univers, Université Paris Diderot, Centre Pierre Binétruy, University of California, Berkeley, Universidad de Cantabria, Instituto de Física de Cantabria, Universidade Federal de Campina Grande, Universidade de Brasília, Shanghai Jiao Tong University, Chinese Academy of Sciences, Technical University of Munich, University of Portsmouth, Shanghai Astronomical Observatory
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,873
Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Apoio à Pesquisa do Estado da Paraíba, National Key Research and Development Program of China
OpenAlex ID: W4386794441