The LOFAR Epoch of Reionization Data Model: Simulations, Calibration, Inversion

Lampropoulos, P., Sep-2010, Groningen: Rijksuniversiteit Groningen. 147 p.

Research output: ThesisThesis fully internal (DIV)Academic

Copy link to clipboard


  • Title and contents

    Final publisher's version, 129 KB, PDF-document

  • Acknowledgment

    Final publisher's version, 94 KB, PDF-document

  • Chapter 1

    Final publisher's version, 24 MB, PDF-document

  • Chapter 2

    Final publisher's version, 1 MB, application/octet-stream

  • Chapter 2

    Final publisher's version, 9 MB, PDF-document

  • Chapter 4

    Final publisher's version, 762 KB, PDF-document

  • Chapter 5

    Final publisher's version, 438 KB, PDF-document

  • Chapter 6

    Final publisher's version, 259 KB, PDF-document

  • Dutch summary

    Final publisher's version, 1 MB, PDF-document

  • Greek summary

    Final publisher's version, 2 MB, PDF-document

  • Appendices

    Final publisher's version, 382 KB, PDF-document

  • Complete thesis

    Final publisher's version, 34 MB, PDF-document

  • Bibliography

    Final publisher's version, 94 KB, PDF-document

  • Panagiotis Lampropoulos
One of the most exciting applications of LOFAR will be the search for redshifted 21-cm line emission from the Epoch of Reionization (EOR). It is currently believed that the Dark Ages, the period after recombination when the Universe turned neutral, lasted until around the Universe was 400,000 years old. During the EOR, objects started to form in the early Universe and they were energetic enough to ionize neutral hydrogen. The most prominent method to unravel the string leading to this epoch is the-21-cm line of neutral hydrogen the most abundant element in the Universe. Due to the expansion of the Universe, this line is redshifted to the low regime of the radio spectrum with wavelengths of the order of a few meters. The sensitivity required to achieve this scientific goal, essentially translates into accumulating large amounts of data. Furthermore, the data have to be corrected for instrumental and atmospheric distortions to an unprecedented level. This thesis examines the relationship between the sky signal and the observed data and discusses a statistically optimal solution for the processing of LOFAR data that is also computationally efficient.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • 10002
Award date17-Sep-2010
Place of PublicationGroningen
Print ISBNs9789036745239
Publication statusPublished - Sep-2010


  • Proefschriften (vorm), Ionisatie, Inverse scattering techniek, Waterstof, Calibratie, Simulatie, Radiotelescopen, Achtergrondstraling, radioastronomie, kosmologie

View graph of relations

Download statistics

No data available

ID: 14628547