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This present book discusses the application of the methods to
astrophysical data from different perspectives. In this book, the
reader will encounter interesting chapters that discuss data
processing and pulsars, the complexity and information content of
our universe, the use of tessellation in astronomy,
characterization and classification of astronomical phenomena,
identification of extragalactic objects, classification of pulsars
and many other interesting chapters. The authors of these chapters
are experts in their field and have been carefully selected to
create this book so that the authors present to the community a
representative publication that shows a unique fusion of artificial
intelligence and astrophysics.
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Astroinformatics (IAU S325) (Hardcover)
Massimo Brescia, S.G. Djorgovski, Eric D. Feigelson, Giuseppe Longo, Stefano Cavuoti
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R3,709
R3,176
Discovery Miles 31 760
Save R533 (14%)
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Ships in 9 - 17 working days
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Astronomy has become data-driven in ways that are both
quantitatively and qualitatively different from the past: data
structures are not simple; procedures to gain astrophysical
insights are not obvious; and the informational content of the data
sets is so high that archival research and data mining are not
merely convenient, but obligatory, as researchers who obtain the
data can only extract a small fraction of the science enabled by
it. IAU Symposium 325 took place at a crucial stage in the
development of the field, when many efforts have carried
significant achievements, but the widespread groups have just begun
to effectively communicate across specialties, to gather and
assimilate their achievements, and to consult cross-disciplinary
experts. Bringing together astronomers involved in surveys and
large simulation projects, computer scientists, data scientists,
and companies, this volume showcases their fruitful exchange of
ideas, methods, software, and technical capabilities.
This present book discusses the application of the methods to
astrophysical data from different perspectives. In this book, the
reader will encounter interesting chapters that discuss data
processing and pulsars, the complexity and information content of
our universe, the use of tessellation in astronomy,
characterization and classification of astronomical phenomena,
identification of extragalactic objects, classification of pulsars
and many other interesting chapters. The authors of these chapters
are experts in their field and have been carefully selected to
create this book so that the authors present to the community a
representative publication that shows a unique fusion of artificial
intelligence and astrophysics.
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