2022
DOI: 10.1093/mnras/stac2460
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Search and identification of transient and variable radio sources using MeerKAT observations: a case study on the MAXI J1820+070 field

Abstract: Many transient and variable sources detected at multiple wavelengths are also observed to vary at radio frequencies. However, these samples are typically biased towards sources that are initially detected in wide-field optical, X-ray or gamma-ray surveys. Many sources that are insufficiently bright at higher frequencies are therefore missed, leading to potential gaps in our knowledge of these sources and missing populations that are not detectable in optical, X-rays or gamma-rays. Taking advantage of new state… Show more

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Cited by 7 publications
(3 citation statements)
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“…The light curve for each object can be boiled down to three statistics, which when plotted as an ensemble can reveal interesting behaviour via the identification of outliers (e.g. Driessen et al 2020Driessen et al , 2022Rowlinson et al 2022;Andersson et al 2023). For a light curve consisting of brightness measurements, , the first statistic we make use of is , which is simply the standard deviation of the light curve divided by the mean:…”
Section: Temporal Variability Statisticsmentioning
confidence: 99%
“…The light curve for each object can be boiled down to three statistics, which when plotted as an ensemble can reveal interesting behaviour via the identification of outliers (e.g. Driessen et al 2020Driessen et al , 2022Rowlinson et al 2022;Andersson et al 2023). For a light curve consisting of brightness measurements, , the first statistic we make use of is , which is simply the standard deviation of the light curve divided by the mean:…”
Section: Temporal Variability Statisticsmentioning
confidence: 99%
“…We estimate the surface density of transients in ACT's field of view following the method outlined in Rowlinson et al (2022). Note that for the following calculations, we only include 14 strong transient candidates.…”
Section: Transient Surface Densitymentioning
confidence: 99%
“…We also provide the surface density as a function of sensitivity using the method described in Rowlinson et al (2022). First, we split the maps by frequency and day/night data as the variance in each of these maps differs significantly.…”
Section: Transient Surface Densitymentioning
confidence: 99%