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Books > Science & Mathematics > Astronomy, space & time > Cosmology & the universe
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Nanohertz Gravitational Wave Astronomy (Hardcover)
Loot Price: R5,010
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Nanohertz Gravitational Wave Astronomy (Hardcover)
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Nanohertz Gravitational Wave Astronomy explores the exciting hunt
for low frequency gravitational waves by using the extraordinary
timing precision of pulsars. The book takes the reader on a tour
across the expansive gravitational-wave landscape, from LIGO
detections to the search for polarization patterns in the Cosmic
Microwave Background, then hones in on the band of nanohertz
frequencies that Pulsar Timing Arrays (PTAs) are sensitive to.
Within this band may lie many pairs of the most massive black holes
in the entire Universe, all radiating in chorus to produce a
background of gravitational waves. The book shows how such
extra-Galactic gravitational waves can alter the arrival times of
radio pulses emanating from monitored Galactic pulsars, and how we
can use the pattern of correlated timing deviations from many
pulsars to tease out the elusive signal. The book takes a pragmatic
approach to data analysis, explaining how it is performed in
practice within classical and Bayesian statistics, as well as the
numerous strategies one can use to optimize numerical Bayesian
searches in PTA analyses. It closes with a complete discussion of
the data model for nanohertz gravitational wave searches, and an
overview of the past achievements, present efforts, and future
prospects for PTAs. The book is accessible to upper division
undergraduate students and graduate students of astronomy, and also
serves as a useful desk reference for experts in the field. Key
features: Contains a complete derivation of the pulsar timing
response to gravitational waves, and the overlap reduction function
for PTAs. Presents a comprehensive overview of source astrophysics,
and the dynamical influences that shape the gravitational wave
signals that PTAs are sensitive to. Serves as a detailed primer on
gravitational-wave data analysis and numerical Bayesian techniques
for PTAs.
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