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Identifying transient and variable sources in radio images

Authors :
Rowlinson, A.
Stewart, A.J.
Broderick, J.W.
Swinbank, J.D.
Wijers, R.A.M.J. (Ralph)
Carbone, D.
Cendes, Y.N.
Fender, R.P.
Horst, A.J. van der
Molenaar, G.J.
Scheers, L.H.A. (Bart)
Staley, T.D.
Farrell, S.A. (Sean)
Grießmeier, J.-M.
Bell, M.R. (Michael)
Eislöffel, J.
Law, C.J.
Leeuwen, J. van
Zarka, P.
Rowlinson, A.
Stewart, A.J.
Broderick, J.W.
Swinbank, J.D.
Wijers, R.A.M.J. (Ralph)
Carbone, D.
Cendes, Y.N.
Fender, R.P.
Horst, A.J. van der
Molenaar, G.J.
Scheers, L.H.A. (Bart)
Staley, T.D.
Farrell, S.A. (Sean)
Grießmeier, J.-M.
Bell, M.R. (Michael)
Eislöffel, J.
Law, C.J.
Leeuwen, J. van
Zarka, P.
Source :
Astronomy and Computing vol. 27, pp. 111-129
Publication Year :
2019

Abstract

With the arrival of a number of wide-field snapshot image-plane radio transient surveys, there will be a huge influx of images in the coming years making it impossible to manually analyse the datasets. Automated pipelines to process the information stored in the images are being developed, such as the LOFAR Transients Pipeline, outputting light curves and various transient parameters. These pipelines have a number of tuneable parameters that require training to meet the survey requirements. This paper utilises both observed and s

Details

Database :
OAIster
Journal :
Astronomy and Computing vol. 27, pp. 111-129
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1281322457
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.ascom.2019.03.003