Foreground removal for Square Kilometre Array observations of the Epoch of Reionization with the Correlated Component Analysis

Abstract

We apply the Correlated Component Analysis (CCA) method on simulated data of the Square Kilometre Array, with the aim of accurately cleaning the 21 cm reionization signal from diffuse foreground contamination. The CCA has been developed for the Cosmic Microwave Background, but the application of the Fourier-domain implementation of this method to the reionization signal is straightforward. The CCA is a parametric method to estimate the frequency behaviour of the foregrounds from the data by using second-order statistics. We test its performance on foreground simulations of increasing complexity, designed to challenge the parametric models adopted. We also drop the assumption of spectral smoothness that most of the methods rely upon. We are able to clean effectively the simulated data across the explored frequency range (100-200 MHz) for all the foreground simulations. This shows that the CCA method is very promising for EoR component separation.

12 pages, 15 figures, accepted by MNRAS

References in corpus (12)

• Cosmology at Low Frequencies: The 21 cm Transition and the High-Redshift Universe
• Foreground simulations for the LOFAR - Epoch of Reionization Experiment
• Simulating Cosmic Reionization at Large Scales II: the 21-cm Emission Features and Statistical Signals
• A Method for 21cm Power Spectrum Estimation in the Presence of Foregrounds
• On using visibility correlations to probe the HI distribution from the dark ages to the present epoch I: Formalism and the expected signal
• The Scale of the Problem : Recovering Images of Reionization with GMCA
• An Improved Method for 21cm Foreground Removal
• Non-parametric foreground subtraction for 21cm epoch of reionization experiments
• De-contamination of cosmological 21-cm maps
• WMAP 3yr data with the CCA: anomalous emission and impact of component separation on the CMB power spectrum
• Correlated Component Analysis for diffuse component separation with error estimation on simulated Planck polarization data
• Spectrum of the Anomalous Microwave Emission in the North Celestial Pole with WMAP 7-Year data

Cited by in corpus (17)

• Constraining the intergalactic medium at $z\approx$ 9.1 using LOFAR Epoch of Reionization observations
• Constraining the state of the intergalactic medium during the Epoch of Reionization using MWA 21-cm signal observations
• Detecting shocked intergalactic gas with X-ray and radio observations
• Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
• A path to precision cosmology: synergy between four promising late-universe cosmological probes
• Eliminating Primary Beam Effect in Foreground Subtraction of Neutral Hydrogen Intensity Mapping Survey with Deep Learning
• Contamination of the Epoch of Reionization power spectrum in the presence of foregrounds
• The impact of non-Gaussianity on the error covariance for observations of the Epoch of Reionization 21-cm power spectrum
• Foreground modelling via Gaussian process regression: an application to HERA data
• Prospects for measuring dark energy with 21 cm intensity mapping experiments: A joint survey strategy
• Deep learning approach for identification of HII regions during reionization in 21-cm observations -- II. foreground contamination
• Detecting the HI Power Spectrum in the Post-Reionization Universe with SKA-Low
• Constraints on the state of the IGM at $z\sim 8-10$ using redshifted 21-cm observations with LOFAR
• Probing the intergalactic medium during the Epoch of Reionization using 21-cm signal power spectra
• Towards Optimal Foreground Mitigation Strategies for Interferometric HI Intensity Mapping in the Low-Redshift Universe
• A novel radio imaging method for physical spectral index modelling
• Mitigating gain calibration errors from EoR observations with SKA1-Low AA*