% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@BOOK{Schwarz:600943,
      author       = {Schwarz, Kilian},
      title        = {{D}ata-{I}ntensive {R}adio {A}stronomy},
      address      = {eBook, printed copy, ePub for iPad, Kindle edition},
      publisher    = {Springer},
      reportid     = {PUBDB-2024-00005},
      isbn         = {978-3031584701},
      pages        = {55-64},
      year         = {2024},
      abstract     = {Radio astronomy is irreversibly moving towards the exabyte
                      era. In the advent of all-sky radio observations, having
                      efficient tools and methods to manage the large-datavolume
                      generated is imperative. A huge progress has already been
                      made, throughinnovation and expertise in research, and
                      large-data management has been the topicof discussion within
                      the community for decades, with improved interferometers
                      (un-precedented sensitivity and resolution, number of
                      baselines, broad-band receivers).However, the challenges
                      don’t disappear and only grow. Thus the community is
                      ac-tively searching for efficient solutions which will take
                      astrophysics to the exabyte era.Current radio telescopes
                      (e.g. LOFAR, MeerKAT, ASKAP) have identified the
                      dif-ficulties of obtaining hundreds of Gbits per sec of data
                      and processing them throughpipelines in order to produce
                      science ready products, as well as providing
                      efficientmethods to the community to (re)use these data, and
                      having efficient data storage forarchiving.Our vision for
                      this special volume on Data-Intensive Radio Astronomy is
                      basedon a data-centric approach, addressing the data
                      lifecycle to create a coherent flow ofthe content. Bringing
                      together different communities, e.g. astrophysics,
                      high-energyphysics, data science and computer science, our
                      aim is to provide knowledge in thetopic of current tools and
                      ideas for the future development of data management.Diverse
                      input and various approaches are meant to tackle the
                      challenges that currentand future instruments, including
                      radio telescopes, are facing.This special volume represents
                      the vast amount of expertise that needs to cometogether to
                      write a book about data-intensive radio astronomy. The book
                      is separatedin four parts, that describe the data cycle,
                      with a general introduction (Chapter 1)on radio astronomy
                      and why we observe the radio sky, as well as the current
                      andupcoming era of exabyte radio astronomy. Part I on
                      ’Data creation, storage andarchives’ (Chapters 2-4),
                      describes how the data are acquired using radio
                      telescopes,and the need for long-term data archives and
                      high-performance infrastructure tostore data before they can
                      be pre-processed. Part II on ’Data processing’
                      (Chapters5-7), narrates the challenges of processing large
                      amounts of data efficiently and howdifferent radio
                      facilities around the world face these challenges, employing
                      modernco-design and software architectures. Part III on
                      ’Post-processing and data analysis’(Chapters 8-11),
                      describes the broad science that can be done using the data
                      inhand. The data need to be processed depending on the
                      scientific question, in orderto create ready science
                      products. It further highlights how machine learning
                      andartificial intelligence algorithms aid in the analysis of
                      large data volumes, alongsidemodern techniques of
                      visualisation using virtual reality and planetaria. Part IV
                      on’Data access and reuse’ (Chapters 12-14), explains the
                      effort of radio astronomy andother disciplines to make data
                      and science ready products available for humans andmachines,
                      following the FAIR principles of findability, accessibility,
                      interoperability,and reusability. It highlights the work
                      done for the Virtual Observatory, as well as theneed for
                      proper metadata and data management. Finally, the epilogue
                      (Chapter 15)gives a quick summary and outlook for the future
                      of data-intensive radio astronomy,also keeping in mind the
                      efforts of the community for sustainability in this
                      data-intensive radio era.},
      cin          = {IT},
      cid          = {I:(DE-H253)IT-20120731},
      pnm          = {623 - Data Management and Analysis (POF4-623) / DFG project
                      G:(GEPRIS)460248186 - PUNCH4NFDI - Teilchen, Universum,
                      Kerne und Hadronen für die NFDI (460248186)},
      pid          = {G:(DE-HGF)POF4-623 / G:(GEPRIS)460248186},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)3},
      url          = {https://bib-pubdb1.desy.de/record/600943},
}