1/f Noise Analysis for FAST HI Intensity Mapping Drift-Scan Experiment
Wenkai Hu, Yichao Li, Yougang Wang, Fengquan Wu, Bo Zhang, Ming Zhu,, Shifan Zuo, Guilaine Lagache, Yinzhe Ma, Mario G. Santos, Xuelei Chen

TL;DR
This study analyzes the 1/f noise characteristics in FAST HI intensity mapping data, demonstrating that SVD mode subtraction effectively reduces correlated noise, which is crucial for accurate cosmological measurements.
Contribution
The paper introduces a method using SVD to significantly suppress 1/f noise in FAST HI intensity mapping data, improving the accuracy of cosmological signal detection.
Findings
SVD mode subtraction reduces the 1/f knee frequency below thermal noise levels.
1/f noise correlations are confined to small regions in time-frequency space.
Residual 1/f noise can bias HI power spectrum measurements by about 10%.
Abstract
We investigate the 1/f noise of the Five-hundred-meter Aperture Spherical Telescope (FAST) receiver system using drift-scan data from an intensity mapping pilot survey. All the 19 beams have 1/f fluctuations with similar structures. Both the temporal and the 2D power spectrum densities are estimated. The correlations directly seen in the time series data at low frequency are associated with the sky signal, perhaps due to a coupling between the foreground and the system response. We use Singular Value Decomposition (SVD) to subtract the foreground. By removing the strongest components, the measured 1/f noise power can be reduced significantly. With 20 modes subtraction, the knee frequency of the 1/f noise in a 10 MHz band is reduced to , well below the thermal noise over 500-seconds time scale. The 2D power spectra show that the 1/f-type variations are…
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