rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays
  name:
    name part: Haasteren, Rutger van.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 139 p. 40 illus. online resource.
  abstract: Pulsar timing is a promising method for detecting gravitational waves in the nano-Hertz band. In his prize winning Ph.D. thesis Rutger van Haasteren deals with how one takes thousands of seemingly random timing residuals which are measured by pulsar observers, and extracts information about the presence and character of the gravitational waves in the nano-Hertz band that are washing over our Galaxy. The author presents a sophisticated mathematical algorithm that deals with this issue. His algorithm is probably the most well-developed of those that are currently in use in the Pulsar Timing Array community. In chapter 3, the gravitational-wave memory effect is described. This is one of the first descriptions of this interesting effect in relation with pulsar timing, which may become observable in future Pulsar Timing Array projects. The last part of the work is dedicated to an effort to combine the European pulsar timing data sets in order to search for gravitational waves. This study has placed the most stringent limit to date on the intensity of gravitational waves that are produced by pairs of supermassive black holes dancing around each other in distant galaxies, as well as those that may be produced by vibrating cosmic strings. Rutger van Haasteren has won the 2011 GWIC Thesis Prize of the Gravitational Wave International Community for his innovative work in various directions of the search for gravitational waves by pulsar timing. The work is presented in this Ph.D. thesis.
  table of contents: Foreword -- Introduction -- Bayesian data analysis of Pulsar Timing Arrays -- Gravitational-wave memory and Pulsar Timing Arrays -- Limiting the gravitational-wave background with EPTA data -- Marginal likelihood calculation with MCMC methods -- Index.
  note: by Rutger van Haasteren.
  subject:
    topic: Physics
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Gravitation
  subject:
    topic: Observations, Astronomical
  subject:
    topic: Astronomy
    topic: Observations
  subject:
    topic: Astrophysics
  subject:
    topic: Statistics
  subject:
    topic: Physics
  subject:
    topic: Astronomy, Observations and Techniques
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Classical and Quantum Gravitation, Relativity Theory
  subject:
    topic: Mathematical Applications in Computer Science
  subject:
    topic: Astrophysics and Astroparticles
  classification: QB4
  classification: 520
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783642395994
  identifier: http://dx.doi.org/10.1007/978-3-642-39599-4
  record info:
    record creation date: 130912
    record change date: 20151030061455.0
    record identifier: 978-3-642-39599-4