The LOFAR Standard Imaging Pipeline

  • George HealdEmail author
Part of the Astrophysics and Space Science Library book series (ASSL, volume 426)


The Standard Imaging Pipeline (SIP) is LOFAR’s automatic system for the calibration and imaging of interferometric data. It is designed to be generally applicable to all imaging observations and to provide a reasonable quality of output data product in most cases. The SIP is composed of combinations of the individual calibration and imaging programs covered elsewhere in this lecture series. In this lecture the overall strategy of the SIP will be presented, along with information about how to set up calibration and imaging jobs, a description of ongoing work to improve the pipeline, and illustration through example datasets.



I would like to thank Tammo Jan Dijkema for the pipeline figure, and the entire “Calibration and Imaging Tiger Team” (CITT) based at ASTRON and elsewhere for their tireless efforts to expand the SIP into the arena of fast and efficient direction-dependent calibration. At the time that this description was written, the CITT included Tammo Jan Dijkema, Stefan Fröhlich, GH, Emanuela Orrú, David Rafferty, Tim Shimwell, Bas van der Tol, Carmen Toribio, and Nicolas Vilchez.


  1. Bhatnagar, S., Cornwell, T.J., Golap, K., Uson, J.M.: Astron. Astrophys. 487, 419 (2008)ADSCrossRefGoogle Scholar
  2. Cohen, A.S., Lane, W.M., Cotton, W.D., et al.: Astron. J. 134, 1245 (2007)ADSCrossRefGoogle Scholar
  3. Condon, J.J., Cotton, W.D., Greisen, E.W., et al.: Astron. J. 115, 1693 (1998)ADSCrossRefGoogle Scholar
  4. Cornwell, T.J.: Astron. Astrophys. 202, 316 (1988)ADSGoogle Scholar
  5. Cornwell, T.J., Golap, K., Bhatnagar, S.: IEEE J. Sel. Top. Signal Process. 2, 647 (2008)ADSCrossRefGoogle Scholar
  6. Hamaker, J.P., Bregman, J.D., Sault, R.J.: Astron. Astrophys. Suppl. Ser. 117, 137 (1996)ADSCrossRefGoogle Scholar
  7. Heald, G., McKean, J., Pizzo, R., et al.: ArXiv e-prints (2010)Google Scholar
  8. Heald, G.H., Pizzo, R.F., Orrú, E., et al.: Astron. Astrophys. 582, A123 (2015)CrossRefGoogle Scholar
  9. Hopkins, A.M., Whiting, M.T., Seymour, N., et al.: Publ. Astron. Soc. Aust. 32, e037 (2015)ADSCrossRefGoogle Scholar
  10. Intema, H.T., van der Tol, S., Cotton, W.D., et al.: Astron. Astrophys. 501, 1185 (2009)ADSCrossRefGoogle Scholar
  11. Intema, H.T., Jagannathan, P., Mooley, K.P., Frail, D.A.: Astron. Astrophys. 598, A78 (2017)ADSCrossRefGoogle Scholar
  12. Jaeger, S.: In: Argyle, R.W., Bunclark, P.S., Lewis, J.R. (eds.) Astronomical Data Analysis Software and Systems XVII. Astronomical Society of the Pacific Conference Series, vol. 394, p. 623 (2008)Google Scholar
  13. Kazemi, S., Yatawatta, S., Zaroubi, S.: Mon. Not. R. Astron. Soc. 434, 3130 (2013)ADSCrossRefGoogle Scholar
  14. Lane, W.M., Cotton, W.D., van Velzen, S., et al.: Mon. Not. R. Astron. Soc. 440, 327 (2014)ADSCrossRefGoogle Scholar
  15. Mohan, N., Rafferty, D.: PyBDSM: Python Blob Detection and Source Measurement, Astrophysics Source Code Library (2015)Google Scholar
  16. Noordam, J.E.: In: Oschmann, J.M., Jr. (ed.) Ground-Based Telescopes. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 5489, pp. 817–825 (2004)ADSGoogle Scholar
  17. Offringa, A.R., de Bruyn, A.G., Biehl, M., et al.: Mon. Not. R. Astron. Soc. 405, 155 (2010)ADSGoogle Scholar
  18. Offringa, A.R., de Bruyn, A.G., Zaroubi, S., et al.: Astron. Astrophys. 549, A11 (2013)CrossRefGoogle Scholar
  19. Rengelink, R.B., Tang, Y., de Bruyn, A.G., et al.: Astron. Astrophys. Suppl. Ser. 124, 259 (1997)ADSCrossRefGoogle Scholar
  20. Salvini, S., Wijnholds, S.J.: Astron. Astrophys. 571, A97 (2014)ADSCrossRefGoogle Scholar
  21. Scaife, A.M.M., Heald, G.H.: Mon. Not. R. Astron. Soc. 423, L30 (2012)ADSCrossRefGoogle Scholar
  22. Shimwell, T.W., Röttgering, H.J.A., Best, P.N., et al.: Astron. Astrophys. 598, A104 (2017)CrossRefGoogle Scholar
  23. Smirnov, O.M.: Astron. Astrophys. 527, A106 (2011)ADSCrossRefGoogle Scholar
  24. Smirnov, O.M., Tasse, C.: Mon. Not. R. Astron. Soc. 449, 2668 (2015)ADSCrossRefGoogle Scholar
  25. Tasse, C., van der Tol, S., van Zwieten, J., van Diepen, G., Bhatnagar, S.: Astron. Astrophys. 553, A105 (2013)CrossRefGoogle Scholar
  26. van der Tol, S., Jeffs, B.D., van der Veen, A.-J.: IEEE Trans. Signal Process. 55, 4497 (2007)ADSMathSciNetCrossRefGoogle Scholar
  27. van Haarlem, M.P., Wise, M.W., Gunst, A.W., et al.: Astron. Astrophys. 556, A2 (2013)CrossRefGoogle Scholar
  28. van Weeren, R.J., Williams, W.L., Hardcastle, M.J., et al.: Astrophys. J. Suppl. Ser. 223, 2 (2016)ADSCrossRefGoogle Scholar
  29. Williams, W.L., van Weeren, R.J., Röttgering, H.J.A., et al.: Mon. Not. R. Astron. Soc. 460, 2385 (2016)ADSCrossRefGoogle Scholar
  30. Yatawatta, S., Zaroubi, S., de Bruyn, G., Koopmans, L., Noordam, J.: ArXiv e-prints (2008)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.ASTRONDwingelooThe Netherlands
  2. 2.CSIRO Astronomy and Space ScienceKensingtonAustralia

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