2016
DOI: 10.1088/1361-6501/28/1/014004
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An atmosphere monitoring system for the Sardinia radio telescope

Abstract: The Sardinia Radio Telescope (SRT) is a new facility managed by the Italian National Institute for Astrophysics (INAF). SRT will detect the extremely faint radio wave signals emitted by astronomical objects in a wide frequency range from decimeter to millimeter wavelengths. Especially at high frequencies (>10 GHz), bad weather conditions and interactions between signal and atmospheric constituents (mainly water and oxygen molecules) can strongly affect the radio astronomic observation reducing the antenna perf… Show more

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Cited by 12 publications
(10 citation statements)
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References 11 publications
(26 reference statements)
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“…We then modelled the T sys trend with the airmass model to obtain the zenithal opacity, τ . The values of τ derived from the sky dip were generally in good agreement with those provided by the radiometer working at the SRT site (Buffa et al 2017). We also used the calibrator 3C 286 as a reference for the absolute polarization position angle (we assumed the values from Perley & Butler 2013).…”
Section: Srt Observationssupporting
confidence: 64%
“…We then modelled the T sys trend with the airmass model to obtain the zenithal opacity, τ . The values of τ derived from the sky dip were generally in good agreement with those provided by the radiometer working at the SRT site (Buffa et al 2017). We also used the calibrator 3C 286 as a reference for the absolute polarization position angle (we assumed the values from Perley & Butler 2013).…”
Section: Srt Observationssupporting
confidence: 64%
“…The K-band observations performed with SRT are strongly dependent on the atmospheric conditions, i.e. the opacity and water vapor content (Nasir et al 2011, Buffa et al 2017. Indeed, the observation of Tycho carried out on 24 February 2016 (MJD 57442) in optimal opacity conditions and in the absence of a cloud cover led to a high signal-to-noise ratio map that allowed us to perform an efficient baseline subtraction, which leads to a low RMS value (see Table1).…”
Section: Resultsmentioning
confidence: 99%
“…The gain curve was obtained through the calculation of a conversion factor, defined as the ratio between the observed counts from the calibrators and their expected flux density (counts/Jy). Our gain curves implicitly include the attenuation effect due to the atmospheric opacity (in the range 0.04−0.12 Np during the observations; Buffa et al 2016, Buffa et al 2017, which also affected the target observations. While the calibration measurements were taken temporally close to the target observations, the opacity conditions could in principle have been slightly different when we observed the calibrators and targets.…”
Section: Data Calibration and Map Productionmentioning
confidence: 99%
“…For a detailed description of the tool and of its usage, we refer to Vacca et al (2013). Meteo Forecasting: this tool uses a numerical weather prediction model on timescales of 36 h to allow for dynamic scheduling (for more details, see Nasir et al 2013;Buffa et al 2016). ScheduleCreator: this tool produces properly formatted schedules for Nuraghe, the telescope control software, for all available observing modes (sidereal tracking, on-off, OTF crossscans, raster scans, and mapping in the equatorial, galactic, and horizontal coordinate frames).…”
Section: Preparing the Observationsmentioning
confidence: 99%