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The detection of mJy/sub-mJy point sources is a significant challenge forsingle-dish radio telescopes. Detection or upper limits on the faint afterglowfrom GRBs or other sources at cosmological distances are important means ofconstraining the source modeling.  Using the Sardinia Radio Telescope (SRT), we compare the sensitivity androbustness of three methods applied to the detection of faint radio sourcesfrom raster maps around a known source position: the smart quick-look method,the source extraction method (typical of high-energy astronomy), and the fitwith a 2-D Gaussian. We developed a Python code specific for the analysis ofpoint-like radio sources applied to the SRT C-band (6.9 GHz) observations ofboth undetected sources (GRB afterglows of 181201A and 190114C) and thedetected Galactic X-ray binary GRS 1915+105.  Our comparative analysis of the different detection methods made extensiveuse of simulations as a useful complement to actual radio observations. Thebest method for the SRT data analysis is the fit with a 2-D Gaussian, as itpushes down the sensitivity limits of single-dish observations -- with respectto more traditional techniques -- to ~ 1.8 mJy, improving by ~ 40 % comparedwith the initial value. This analysis shows that -- especially for faintsources -- good maps of the scanned region pre- or post-outburst are essential.

Methods for detection and analysis of weak radio sources with single-dish radio telescopes