Data Analysis in Cosmology

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Martinez, Vicent J. (Επιμελητής έκδοσης), Saar, Enn (Επιμελητής έκδοσης), Gonzales, Enrique Martinez (Επιμελητής έκδοσης), Pons-Borderia, Maria Jesus (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Lecture Notes in Physics, 665
• Θέματα: Physics.; Gravitation.; Statistics.; Classical and Quantum Gravitation, Relativity Theory.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Numerical and Computational Physics.
• Φυσική περιγραφή: XII, 636 p. online resource.
• ISBN: 9783540447672
• ISSN: 0075-8450 ;

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.