Data Analysis in Cosmology: 665 - Brossura

Brossura

ISBN 10: 3642063055 ISBN 13: 9783642063053

Casa editrice: Springer Nature, 2010

Riassunto

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.

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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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642063055
• ISBN 13: 9783642063053
• Rilegatura: Copertina flessibile
• Numero di pagine: 648
• Redattore: Martinez Vicent J., Saar Enn, Gonzales Enrique Martinez, Pons-borderia Maria Jesus
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania