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Main Authors: Chen, Shu-Fan, Chen, Kai-Feng, Dvorkin, Cora
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.13265
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author Chen, Shu-Fan
Chen, Kai-Feng
Dvorkin, Cora
author_facet Chen, Shu-Fan
Chen, Kai-Feng
Dvorkin, Cora
contents Current and upcoming 21-cm experiments will soon be able to map 21-cm spatial fluctuations in three dimensions for a wide range of redshifts. However, bright foreground contamination and the nature of radio interferometry create significant challenges, making it difficult to access rich cosmological information from the Fourier modes that lie within the "foreground wedge". In this work, we introduce two approaches aiming to reconstruct the full 21-cm density field, including the missing modes in the wedge: (a) a field-level inference under an effective field theory (EFT) framework; (b) a diffusion-based deep generative model trained on simulations. Under the EFT framework, we implement a fully differentiable forward model that maps the initial conditions of matter fluctuations to the observed, foreground-filtered 21-cm maps. This enables a gradient-based sampler to simultaneously sample the initial conditions and bias parameters, allowing a physically motivated mode reconstruction. Alternatively, we apply a variational diffusion model to perform 21-cm density reconstruction at the map level. Our model is trained on semi-numerical simulations over a wide range of astrophysical parameters. Our results from both approaches should provide improved cosmological constraints from the field level and also enable cross-correlation between experiments that have little or no overlapping modes.
format Preprint
id arxiv_https___arxiv_org_abs_2508_13265
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Field-level Reconstruction from Foreground-Contaminated 21-cm Maps
Chen, Shu-Fan
Chen, Kai-Feng
Dvorkin, Cora
Cosmology and Nongalactic Astrophysics
Current and upcoming 21-cm experiments will soon be able to map 21-cm spatial fluctuations in three dimensions for a wide range of redshifts. However, bright foreground contamination and the nature of radio interferometry create significant challenges, making it difficult to access rich cosmological information from the Fourier modes that lie within the "foreground wedge". In this work, we introduce two approaches aiming to reconstruct the full 21-cm density field, including the missing modes in the wedge: (a) a field-level inference under an effective field theory (EFT) framework; (b) a diffusion-based deep generative model trained on simulations. Under the EFT framework, we implement a fully differentiable forward model that maps the initial conditions of matter fluctuations to the observed, foreground-filtered 21-cm maps. This enables a gradient-based sampler to simultaneously sample the initial conditions and bias parameters, allowing a physically motivated mode reconstruction. Alternatively, we apply a variational diffusion model to perform 21-cm density reconstruction at the map level. Our model is trained on semi-numerical simulations over a wide range of astrophysical parameters. Our results from both approaches should provide improved cosmological constraints from the field level and also enable cross-correlation between experiments that have little or no overlapping modes.
title Field-level Reconstruction from Foreground-Contaminated 21-cm Maps
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2508.13265