Foreground removal and angular power spectrum estimation of 21 cm signal using harmonic space ILC method
Albin Joseph, Rajib Saha

TL;DR
This paper presents a novel harmonic space ILC method for model-independent foreground removal and accurate angular power spectrum estimation of the 21 cm signal, crucial for cosmological studies.
Contribution
It introduces a new ILC approach using principal components and prior covariance knowledge for effective foreground removal in 21 cm intensity mapping.
Findings
Successfully reconstructs the 21 cm angular power spectrum from simulations.
Demonstrates the method's effectiveness in foreground removal without relying on specific models.
Provides a framework for direct cosmological parameter estimation from cleaned spectra.
Abstract
Mapping the distribution of neutral atomic hydrogen (HI) in the Universe through its 21 cm emission line provides a powerful cosmological probe to map the large-scale structures and shed light on various cosmological phenomena. The Baryon Acoustic Oscillations at low redshifts can potentially be probed by sensitive HI intensity mapping experiments and constrain the properties of dark energy. However, the 21 cm signal detection faces formidable challenges due to the dominance of various astrophysical foregrounds, which can be several orders of magnitude stronger. Our current work introduces a novel and model-independent Internal Linear Combination (ILC) method in harmonic space using the principal components of the 21 cm signal for accurate foreground removal and power spectrum estimation. We estimate the principal components by incorporating prior knowledge of the theoretical 21 cm…
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Taxonomy
TopicsSpeech and Audio Processing · Image and Signal Denoising Methods · Advanced Adaptive Filtering Techniques
