# The impact of interference excision on 21-cm Epoch of Reionization power   spectrum analyses

**Authors:** A. R. Offringa, F. Mertens, L. V. E. Koopmans

arXiv: 1901.04752 · 2019-03-13

## TL;DR

This paper examines how interference excision and data averaging introduce biases in 21-cm Epoch of Reionization power spectrum analysis, and proposes mitigation techniques that significantly reduce this excess power.

## Contribution

The study identifies systematic biases caused by flagging and averaging in 21-cm experiments and introduces novel mitigation methods integrated into the LOFAR pipeline.

## Key findings

- Flagging and averaging cause spectral fluctuations leading to excess power.
- Mitigation techniques reduce excess power by about three orders of magnitude.
- Bias mitigation enables more accurate detection of 21-cm signals.

## Abstract

We investigate the implications of interference detection for experiments that are pursuing a detection of the redshifted 21-cm signals from the Epoch of Reionization. Interference detection causes samples to be sporadically flagged and rejected. As a necessity to reduce the data volume, flagged samples are typically (implicitly) interpolated during time or frequency averaging or uv-gridding. This so-far unexplored systematic biases the 21-cm power spectrum, and it is important to understand this bias for current 21-cm experiments as well as the upcoming SKA Epoch of Reionization experiment. We analyse simulated data using power spectrum analysis and Gaussian process regression. We find that the combination of flagging and averaging causes tiny spectral fluctuations, resulting in `flagging excess power'. This excess power does not substantially average down over time and, without extra mitigation techniques, can exceed the power of realistic models of the 21-cm reionization signals in LOFAR observations. We mitigate the bias by i) implementing a novel way to average data using a Gaussian-weighted interpolation scheme; ii) using unitary instead of inverse-variance weighting of visibilities; and iii) using low-resolution forward modelling of the data. After these modifications, which have been integrated in the LOFAR EoR processing pipeline, the excess power reduces by approximately three orders of magnitude, and is no longer preventing a detection of the 21-cm signals.

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/1901.04752/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/1901.04752/full.md

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Source: https://tomesphere.com/paper/1901.04752