Data-Intensive Radio Astronomy

Eleni Vardoulaki is an astrophysicist working as coordinator for data-intensive radio astronomy at the Thüringer Landessternwarte Tautenburg (TLS). She obtained her Bachelors in Science in Physics from the University of Ioannina, Greece, in 2002, specializing in astrophysics. She obtained her Doctor of Philosophy in Astrophysics from the University of Oxford in 2010. She has worked as postdoctoral researcher at Centro de Astrofisica da Universidade do Porto (CAUP) in Porto, Portugal, as a research fellow at the University of Crete (Greece), as a visitor researcher at the California Institute of Technology (Caltech) in Pasadena (USA), as a postdoctoral researcher at the Argelander-Institut für Astronomie (AIfA) in Bonn (Germany) and at the Max-Planck-Institut für Radioastronomie (MPIfR) in Bonn (Germany). Her expertise is on extragalactic radio sources associated with active galactic nuclei (AGN). She is interested in the physical properties of AGN, their host galaxies and relation to environment, disentangling AGN and star formation, as well as machine learning and artificial intelligence. She is a science communicator (Rogue Astrophysics, Astronomy on Tap) and TEDx speaker. 
Marta Dembska works in data science, computer science, radio astronomy and experimental physics. Currently she carries on research in the field of development of innovative data management methods for data-intensive scientific domains at the DLR Institute of Data Science in Jena. She was awarded a BSc with honors in technical physics with specialization in computers in physical measurement in 2007 and MSc in computer physics in 2010, both at the University of Zielona Góra in Poland. Her current scientific interests include both (meta)data management and data analysis. 
Alexander Drabent, born in 1986 in Leinefelde (Germany), obtained his doctorate at the Friedrich Schiller University in Jena (Germany), in physics on diffuse radio emission in merging galaxy clusters. Since 2012 he has been a research fellow at the Thüringer Landessterwarte in Tautenburg in Germany and has specialized in the field of radio astronomy. He works on software development and data processing for the Low Frequency Array (LOFAR), in particular the regime of calibration and data reduction pipelines.
Matthias Hoeft leads the radio astronomy group at the Thüringer Landessternwarte (TLS). He is in particular interested in radio galaxies, clusters of galaxies and the large-scale structure in the universe. The TLS operates one station of Low Frequency Array (LOFAR), which allows researchers to study the radio sky at very low frequencies with unprecedented resolution and sensitivity. Hoeft leads the processing of LOFAR data on supercomputers of the Forschungszentrum Jülich. Moreover, Hoeft participates in the PUNCH4NFDI consortium.

Preface.- Introduction - Concepts and challenges of data-intensive radio astronomy.- Part 1. DATA CREATION, STORAGE AND ARCHIVES.- CHAPTER 1: From the data generation to the archive.- CHAPTER 2: Storage and archives.- CHAPTER 3: Computing infrastructure.- Part 2. DATA PROCESSING.- CHAPTER 4: Challenges of radio data processing (big radio data processing).- CHAPTER 5: Implementations for specific radio observatories.- CHAPTER 6: Co-design and software architecture.- CHAPTER 7: Lesson learned from SKA pathfinders regarding processing.- PART 3. POST-PROCESSING AND DATA ANALYSIS.- CHAPTER 8: Continuum Source extraction and identification.- CHAPTER 9: Other types of source extraction and identification.- CHAPTER 10: Using AI for radio (big) data.- CHAPTER 11: Visualisation for analysis.- PART 4. DATA ACCESS AND REUSE (accessibility, VR/VO FAIR).- CHAPTER 12: Exploitation platforms & Virtual Observatory.- CHAPTER 14: Data documentation beyond provenance: metadata, Research Data Management (RDM), FAIR.- Epilogue and future outlook.- Glossary.- Index.