Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys

Abstract The fluctuations produced during cosmic inflation may exhibit non-Gaussian characteristics that are imprinted in the large-scale structure of the Universe. This non-Gaussian imprint is an ultra-large scale signal that can be detected using the power spectrum. We focus on the local-type non-...

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Main Authors: Mponeng Kopana, Sheean Jolicoeur, Roy Maartens
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:European Physical Journal C: Particles and Fields
Online Access:https://doi.org/10.1140/epjc/s10052-025-14241-7
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author Mponeng Kopana
Sheean Jolicoeur
Roy Maartens
author_facet Mponeng Kopana
Sheean Jolicoeur
Roy Maartens
author_sort Mponeng Kopana
collection DOAJ
description Abstract The fluctuations produced during cosmic inflation may exhibit non-Gaussian characteristics that are imprinted in the large-scale structure of the Universe. This non-Gaussian imprint is an ultra-large scale signal that can be detected using the power spectrum. We focus on the local-type non-Gaussianity $$f_\textrm{NL}$$ f NL and employ a multi-tracer analysis that combines different probes in order to mitigate cosmic variance and maximize the non-Gaussian signal. In our previous paper, we showed that combining spectroscopic galaxy surveys with 21 cm intensity mapping surveys in interferometer mode could lead to a $$\sim $$ ∼ 20–30% improvement in the precision on this non-Gaussian signal. Here we combine the same 21 cm experiments, including also single-dish surveys, with photometric galaxy surveys. The 21 cm single-dish surveys are based on MeerKAT and SKAO and the interferometric surveys are alike to HIRAX and PUMA. We implement foreground-avoidance filters and utilize models for the 21 cm thermal noise associated with single-dish and interferometer modes. The photometric galaxy surveys are similar to the DES and LSST. Our multi-tracer Fisher forecasts show a better precision for the combination of the photometric galaxy surveys and 21 cm interferometric surveys than with the 21 cm single-dish surveys – leading to at most an improvement of $$23\%$$ 23 % in the former case and $$16\%$$ 16 % in the latter case. Furthermore, we examine the impact of varying the foreground filter parameter, redshift range and sky area on the derived constraint. We find that the $$f_\textrm{NL}$$ f NL constraint is highly sensitive to both the redshift range and sky area. The foreground filter parameter shows negligible effect.
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spelling doaj-art-bf800ab747f54f29b4bd3f6e26c56af22025-08-20T03:07:51ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60522025-05-0185511410.1140/epjc/s10052-025-14241-7Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveysMponeng Kopana0Sheean Jolicoeur1Roy Maartens2Department of Physics and Astronomy, University of the Western CapeDepartment of Physics, Stellenbosch UniversityDepartment of Physics and Astronomy, University of the Western CapeAbstract The fluctuations produced during cosmic inflation may exhibit non-Gaussian characteristics that are imprinted in the large-scale structure of the Universe. This non-Gaussian imprint is an ultra-large scale signal that can be detected using the power spectrum. We focus on the local-type non-Gaussianity $$f_\textrm{NL}$$ f NL and employ a multi-tracer analysis that combines different probes in order to mitigate cosmic variance and maximize the non-Gaussian signal. In our previous paper, we showed that combining spectroscopic galaxy surveys with 21 cm intensity mapping surveys in interferometer mode could lead to a $$\sim $$ ∼ 20–30% improvement in the precision on this non-Gaussian signal. Here we combine the same 21 cm experiments, including also single-dish surveys, with photometric galaxy surveys. The 21 cm single-dish surveys are based on MeerKAT and SKAO and the interferometric surveys are alike to HIRAX and PUMA. We implement foreground-avoidance filters and utilize models for the 21 cm thermal noise associated with single-dish and interferometer modes. The photometric galaxy surveys are similar to the DES and LSST. Our multi-tracer Fisher forecasts show a better precision for the combination of the photometric galaxy surveys and 21 cm interferometric surveys than with the 21 cm single-dish surveys – leading to at most an improvement of $$23\%$$ 23 % in the former case and $$16\%$$ 16 % in the latter case. Furthermore, we examine the impact of varying the foreground filter parameter, redshift range and sky area on the derived constraint. We find that the $$f_\textrm{NL}$$ f NL constraint is highly sensitive to both the redshift range and sky area. The foreground filter parameter shows negligible effect.https://doi.org/10.1140/epjc/s10052-025-14241-7
spellingShingle Mponeng Kopana
Sheean Jolicoeur
Roy Maartens
Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
European Physical Journal C: Particles and Fields
title Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
title_full Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
title_fullStr Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
title_full_unstemmed Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
title_short Constraining primordial non-Gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
title_sort constraining primordial non gaussianity by combining photometric galaxy and 21 cm intensity mapping surveys
url https://doi.org/10.1140/epjc/s10052-025-14241-7
work_keys_str_mv AT mponengkopana constrainingprimordialnongaussianitybycombiningphotometricgalaxyand21cmintensitymappingsurveys
AT sheeanjolicoeur constrainingprimordialnongaussianitybycombiningphotometricgalaxyand21cmintensitymappingsurveys
AT roymaartens constrainingprimordialnongaussianitybycombiningphotometricgalaxyand21cmintensitymappingsurveys