Data Analysis in Cosmology.
Language: English
Published by Springer, Berlin, 2009
- Hardcover
- Used

Seller: Research Ink, Takoma Park, MD, U.S.A.Research Ink
AbeBooks seller since August 1, 2000
Condition: Used - Very good
US$ 115.00
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Add to basketItem description from seller
Seller Inventory # 24342
- Title
- Data Analysis in Cosmology.
- Author
- Marti?nez, V. J. , et al., Eds.
- Publisher
- Springer, Berlin
- Publication year
- 2009
- Condition
- Very Good
- Dust jacket
- jacketcondition
- Book Type
- book
- Binding
- Hardback
- Language
- English
- ISBN 10
- 3540239723
- ISBN 13
- 9783540239727
- Seller catalogs
- Astronomy
The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines.
Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines.
Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.
"About the title" may belong to another edition of this title.
Research Ink
Takoma Park, MD, U.S.A.
AbeBooks seller since August 1, 2000
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