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@INPROCEEDINGS{Drabent:874406,
      author       = {Drabent, Alexander and Hoeft, Matthias and Mechev, Alex B.
                      and Oonk, J. B. Raymond and Shimwell, Timothy W. and
                      Sweijen, Frits and Danezi, Anatoli and Schrijvers, Coen and
                      Manzano, Cristina and Tsigenov, Oleg and Dettmar,
                      Ralf-Jürgen and Brüggen, Marcus and Schwarz, Dominik J.},
      title        = {{R}ealising the {LOFAR} {T}wo-{M}etre {S}ky {S}urvey},
      volume       = {50},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-01416},
      series       = {Publication Series of the John von Neumann Institute for
                      Computing (NIC) NIC Series},
      pages        = {113 - 122},
      year         = {2020},
      comment      = {NIC Symposium 2020},
      booktitle     = {NIC Symposium 2020},
      abstract     = {The new generation of high-resolution broad-band radio
                      telescopes, like the Low Frequency Array (LOFAR), produces,
                      depending on the level of compression, between 1 to 10 TB of
                      data per hour after correlation. Such a large amount of
                      scientific data demand powerful computing resources and
                      efficient data handling strategies to be mastered. The LOFAR
                      Two-metre Sky Survey (LoTSS) is a Key Science Project (KSP)
                      of the LOFAR telescope. It aims to map the entire northern
                      hemisphere at unprecedented sensitivity and resolution. The
                      survey consist of 3 168 pointings, requiring about 30 PBytes
                      of storage space. As a member of the German Long Wavelength
                      Consortium (GLOW) the Forschungszentrum Jülich (FZJ) stores
                      in the Long Term Archive (LTA) about $50\%$ of all LoTSS
                      observations conducted to date. In collaboration with
                      SURFsara in Amsterdam we developed service tools that
                      enables the KSP to process LOFAR data stored in the LTA at
                      the Jülich Supercomputing Centre (JSC) in an automated and
                      robust fashion. Through our system more than 500 out of 800
                      existing LoTSS observationshave already been processed with
                      the prefactor pipeline. This pipeline calibrates the
                      direction-independent instrumental and ionospheric effects
                      and furthermore reduces the data size significantly. For
                      continuum imaging, this processing pipeline is the standard
                      pipeline that is executed before more advanced processing
                      and image reconstruction methods are applied.},
      month         = {Feb},
      date          = {2020-02-27},
      organization  = {NIC Symposium 2020, Jülich (Germany),
                       27 Feb 2020 - 28 Feb 2020},
      cin          = {NIC / JSC},
      cid          = {I:(DE-Juel1)NIC-20090406 / I:(DE-Juel1)JSC-20090406},
      pnm          = {513 - Supercomputer Facility (POF3-513)},
      pid          = {G:(DE-HGF)POF3-513},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/874406},
}