Cavuoti, Stefano
(2013)
Data-rich astronomy: mining synoptic sky surveys.
[Tesi di dottorato]
| Tipologia del documento: |
Tesi di dottorato
|
| Lingua: |
English |
| Titolo: |
Data-rich astronomy: mining synoptic sky surveys |
| Autori: |
| Autore | Email |
|---|
| Cavuoti, Stefano | stefano.cavuoti@gmail.com |
|
| Data: |
28 Marzo 2013 |
| Numero di pagine: |
271 |
| Istituzione: |
Università degli Studi di Napoli Federico II |
| Dipartimento: |
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 |
|
| Data: |
28 Marzo 2013 |
| Numero di pagine: |
271 |
| Parole chiave: |
Astroinformatics; Cosmology; Photometric Redshift; Quasar; AGN; Euclid; Large Scale Structure; |
| Settori scientifico-disciplinari del MIUR: |
Area 02 - Scienze fisiche > FIS/05 - Astronomia e astrofisica |
[error in script]
[error in script]
| Depositato il: |
09 Apr 2013 13:59 |
| Ultima modifica: |
18 Lug 2014 10:12 |
| URI: |
http://www.fedoa.unina.it/id/eprint/9196 |
| DOI: |
10.6092/UNINA/FEDOA/9196 |
Abstract
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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