Establishing a relationship between the cosmological 21 cm power spectrum and interferometric closure phases

TL;DR

This paper establishes a mathematical relationship between interferometric closure phases and the cosmological 21 cm power spectrum, enabling more robust detection of the cosmic signal amidst foreground contamination.

Contribution

It provides a rigorous derivation linking closure phase measurements to the 21 cm power spectrum, improving calibration-independent analysis methods.

Findings

Closure phase power spectrum approximates the cosmological power convolved with a foreground-dependent window.

Foreground dependence increases mode-mixing and foreground power proliferation.

Flagging broad window functions can mitigate foreground contamination effects.

Abstract

Measurements of the cosmic 21 cm signal need to achieve a high dynamic range to isolate it from bright foreground emissions. Calibration inaccuracies can compromise the spectral fidelity of the smooth foreground continuum, thereby limiting the dynamic range and potentially precluding the detection of the cosmic line signal. In light of this challenge, recent work has proposed using the calibration-independent closure phase to search for the spectral fluctuations of the cosmic 21 cm signal. However, so far there has been only a heuristic understanding of how closure phases map to the cosmological 21 cm power spectrum. This work aims to establish a more accurate mathematical relationship between closure phases and the cosmological power spectrum of the background line signal. Building on previous work, we treat the cosmic signal component as a perturbation to the closure phase and use a delay spectrum approach to estimate its power. We establish the relationship between this estimate and the cosmological power spectrum using standard Fourier transform techniques and validate it using simulated HERA observations. We find that, statistically, the power spectrum estimate from closure phases is approximately equal to the cosmological power spectrum convolved with a foreground-dependent window function, provided that the signal-to-foreground ratio is small. Compared with standard approaches, the foreground dependence of the window function results in an increased amount of mode-mixing and a more pronounced proliferation of foreground power along the line-of-sight dimension of the cylindrical power spectrum. These effects can be mitigated by flagging instances where the window function is broad. Crucial to gaining the necessary sensitivity, this mapping will allow us to average the measurements of closure triads of different shapes based on their imprint in cylindrical Fourier space.