Abstract

Context. The detection of the 21 cm signal of neutral hydrogen from the Epoch of Reionization (EoR) is challenging due to bright foreground sources, radio frequency interference (RFI), and the ionosphere as well as instrumental effects. Even after correcting for these effects in the calibration step and applying foreground removal techniques, the remaining residuals in the observed 21 cm power spectra are still above the thermal noise, which is referred to as the “excess variance.” Aims. We study a number of potential causes of this excess variance based on 13 nights of data obtained with the Low-Frequency Array (LOFAR). Methods. We focused on the impact of gain errors, the sky model, and ionospheric effects on the excess variance by correlating the relevant parameters such as the gain variance over time or frequency, local sidereal time (LST), diffractive scale, and phase structure–function slope with the level of excess variance. Results. Our analysis shows that the excess variance, at the current level, is neither strongly correlated with gain variance nor the ionospheric parameters. Rather, excess variance has an LST dependence, which is related to the power from the sky. Furthermore, the simulated Stokes I power spectra from bright sources and the excess variance show a similar progression over LST with the minimum power appearing at LST bin 6h to 9h. This LST dependence is also present in sky images of the residual Stokes I of the observations. In very-wide sky images based on one night of observation after direction-dependent calibration, we demonstrate that the extra power comes exactly from the direction of bright and distant sources Cassiopeia A and Cygnus A with the array beam patterns. Conclusions. These results suggest that the level of excess variance in the 21 cm signal power spectra is related to sky effects and, hence, it depends on LST. In particular, very bright and distant sources such as Cassiopeia A and Cygnus A can dominate the effect. This is in line with earlier studies and offers a path forward toward a solution, since the correlation between the sky-related effects and the excess variance is non-negligible.

Highlights

  • The Epoch of Reionization (EoR) is a watershed period in the history of the Universe, where neutral hydrogen (HI) in the intergalactic medium (IGM) became ionized by ultraviolet radiation from stars and quasars (Ciardi & Ferrara 2005; Furlanetto et al 2006; Morales & Wyithe 2010; Pritchard & Loeb 2012)

  • We focus on parameters that characterize the possible excess variance causes: (1) the gain variance over time or frequency that quantify gain smoothness; (2) the local sidereal time (LST), which is related to the orientation of the instrument with respect to the sky; (3) the diffractive scale, rdiff, and structure–function slope β, which give good estimates for the ionospheric condition during an observation

  • The Low-Frequency Array (LOFAR)-EoR Key Science Project is aimed at detecting the 21 cm hydrogen signal originating from the Epoch of Reionization in the redshift range of z ≈ 7–11

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Summary

Introduction

The Epoch of Reionization (EoR) is a watershed period in the history of the Universe, where neutral hydrogen (HI) in the intergalactic medium (IGM) became ionized by ultraviolet radiation from stars and quasars (Ciardi & Ferrara 2005; Furlanetto et al 2006; Morales & Wyithe 2010; Pritchard & Loeb 2012). We focus on parameters that characterize the possible excess variance causes: (1) the gain variance over time or frequency that quantify gain smoothness; (2) the local sidereal time (LST), which is related to the orientation of the instrument with respect to the sky; (3) the diffractive scale, rdiff, and structure–function slope β, which give good estimates for the ionospheric condition during an observation. We discuss how these effects could contribute to the excess variance.

Observations and data processing
Thermal noise and excess variance
Thermal noise
Radio frequency interference and data flagging
Ionospheric phase error and scintillation
Gain-calibration errors
LST dependence
Sky-model power simulations
Results
Gain solutions
Gain smoothness
Correlation between gain solutions and excess variance
Sky-related effects
Simulation
Variance maps We created wide-field (20◦ × 20◦) maps of the residual
Ionospheric effects
Conclusions
Full Text
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