Data analysis in cosmology

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 deve...

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Detalles Bibliográficos
Autores principales: Martinez, Vicent, Saar, Enn, Gonzales, Enrique, Pons-Borderia, Maria
Lenguaje:eng
Publicado: Springer 2009
Materias:
Astrophysics and Astronomy
Acceso en línea:https://dx.doi.org/10.1007/978-3-540-44767-2
http://cds.cern.ch/record/2683087
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author Martinez, Vicent
Saar, Enn
Gonzales, Enrique
Pons-Borderia, Maria
author_facet Martinez, Vicent
Saar, Enn
Gonzales, Enrique
Pons-Borderia, Maria
author_sort Martinez, Vicent
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
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spelling cern-26830872021-04-21T18:21:36Zdoi:10.1007/978-3-540-44767-2http://cds.cern.ch/record/2683087engMartinez, VicentSaar, EnnGonzales, EnriquePons-Borderia, MariaData analysis in cosmologyAstrophysics and AstronomyThe 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.Springeroai:cds.cern.ch:26830872009
spellingShingle Astrophysics and Astronomy
Martinez, Vicent
Saar, Enn
Gonzales, Enrique
Pons-Borderia, Maria
Data analysis in cosmology
title Data analysis in cosmology
title_full Data analysis in cosmology
title_fullStr Data analysis in cosmology
title_full_unstemmed Data analysis in cosmology
title_short Data analysis in cosmology
title_sort data analysis in cosmology
topic Astrophysics and Astronomy
url https://dx.doi.org/10.1007/978-3-540-44767-2
http://cds.cern.ch/record/2683087
work_keys_str_mv AT martinezvicent dataanalysisincosmology
AT saarenn dataanalysisincosmology
AT gonzalesenrique dataanalysisincosmology
AT ponsborderiamaria dataanalysisincosmology

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