Impact of Simulated 1/f Noise for HI Intensity Mapping Experiments
Stuart Harper, Clive Dickinson, Richard Battye, Sambit Roychowdhury,, Ian Browne, Yin-Zhe Ma, Lucas Olivari, Tianyue Chen

TL;DR
This study uses simulations to assess how 1/f noise, originating from instrument gain fluctuations, impacts the success of HI intensity mapping experiments like SKA, emphasizing the importance of noise correlation properties.
Contribution
The paper extends 1/f noise models to include spectral correlations and evaluates their effects on HI IM surveys, providing insights for experiment design and data analysis.
Findings
Spectral correlation of 1/f noise critically affects data quality.
Low spectral index ($eta$ < 0.25) facilitates noise removal.
Telescope scan speed has minimal impact on noise mitigation.
Abstract
Cosmology has entered an era where the experimental limitations are not due to instrumental sensitivity but instead due to inherent systematic uncertainties in the instrumentation and data analysis methods. The field of HI intensity mapping (IM) is still maturing, however early attempts are already systematics limited. One such systematic limitation is 1/f noise, which largely originates within the instrumentation and manifests as multiplicative gain fluctuations. To date there has been little discussion about the possible impact of 1/f noise on upcoming single-dish HI IM experiments such as BINGO, FAST or SKA. Presented in this work are Monte-Carlo end-to-end simulations of a 30 day HI IM survey using the SKA-MID array covering a bandwidth of 950 and 1410 MHz. These simulations extend 1/f noise models to include not just temporal fluctuations but also correlated gain fluctuations…
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