Cavuoti, Stefano (2013) Data-rich astronomy: mining synoptic sky surveys. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Data-rich astronomy: mining synoptic sky surveys
Creators:
Creators
Email
Cavuoti, Stefano
stefano.cavuoti@gmail.com
Date: 28 March 2013
Number of Pages: 271
Institution: Università degli Studi di Napoli Federico II
Department: Fisica
Scuola di dottorato: Scienze fisiche
Dottorato: Fisica fondamentale ed applicata
Ciclo di dottorato: 25
Coordinatore del Corso di dottorato:
nome
email
Velotta, Raffaele
velotta@na.infn.it
Tutor:
nome
email
Longo, Giuseppe
longo@na.infn.it
Brescia, Massimo
brescia@oacn.inaf.it
Date: 28 March 2013
Number of Pages: 271
Keywords: Astroinformatics; Cosmology; Photometric Redshift; Quasar; AGN; Euclid; Large Scale Structure;
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/05 - Astronomia e astrofisica
Date Deposited: 09 Apr 2013 13:59
Last Modified: 18 Jul 2014 10:12
URI: http://www.fedoa.unina.it/id/eprint/9196
DOI: 10.6092/UNINA/FEDOA/9196

Collection description

In the last decade a new generation of telescopes and sensors has allowed the production of a very large amount of data and astronomy has become, a data-rich science; this transition is often labeled as: "data revolution" and "data tsunami". The first locution puts emphasis on the expectations of the astronomers while the second stresses, instead, the dramatic problem arising from this large amount of data: which is no longer computable with traditional approaches to data storage, data reduction and data analysis. In a new, age new instruments are necessary, as it happened in the Bronze age when mankind left the old instruments made out of stone to adopt the new, better ones made with bronze. Everything changed, even the social structure. In a similar way, this new age of Astronomy calls for a new generation of tools and, for a new methodological approach to many problems, and for the acquisition of new skills. The attems to find a solution to this problems falls under the umbrella of a new discipline which originated by the intersection of astronomy, statistics and computer science: "Astroinformatics", (Borne, 2009; Djorgovski et al., 2006). The various topics which I addressed during Ph. D. fall exactly in this intersection and explore some new possibilities offered by this new discipline.

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