Mitigating the effect of 1/f noise on the detection of the H i intensity mapping power spectrum from single-dish measurements.

We present and compare several methods to mitigate time-correlated (1/ f) noise within the H i  intensity mapping component of the MeerKAT Large Area Synoptic Survey (MeerKLASS). By simulating scan strategies, the H i signal, foreground emissions, white and correlated noise, we assess the ability of various data-processing pipelines to recover the power spectrum of H i   brightness temperature fluctuations. We use MeerKAT pilot data to assess the level of 1/ f noise expected for the MeerKLASS survey and use these measurements to create realistic levels of time-correlated noise for our simulations. We find the time-correlated noise component within the pilot data to be between 10 and 20 times higher than the white noise level at the scale of |$k = 0.04 \, {\rm {Mpc}}^{-1}$|⁠. Having determined that the MeerKAT 1/ f noise is partially correlated across all the frequency channels, we employ Singular Value Decomposition (SVD) as a technique to remove both the 1/ f noise and Galactic foregrounds but find that over-cleaning results in the removal of H i power at large (angular and radial) scales; a power loss of 40 per cent is seen for a 3-mode SVD clean at the scale of |$k = 0.04 \, {\rm {Mpc}}^{-1}$|⁠. We compare the impact of map-making using weighting by the full noise covariance (i.e. including a 1/ f component), as opposed to just a simple unweighted binning, finding that including the time-correlated noise information reduces the excess power added by 1/ f noise by up to 30 per cent. [ABSTRACT FROM AUTHOR]