Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/23220
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cavuoti, S. | en_US |
dc.contributor.author | BRESCIA, Massimo | en_US |
dc.contributor.author | De Stefano, V. | en_US |
dc.contributor.author | Longo, G. | en_US |
dc.date.accessioned | 2020-03-13T17:26:53Z | - |
dc.date.available | 2020-03-13T17:26:53Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.issn | 0922-6435 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12386/23220 | - |
dc.description.abstract | Photometric redshifts (photo-z) are crucial to the scientific exploitation of modern panchromatic digital surveys. In this paper we present PhotoRApToR (Photometric Research Application To Redshift): a Java/C ++ based desktop application capable to solve non-linear regression and multi-variate classification problems, in particular specialized for photo-z estimation. It embeds a machine learning algorithm, namely a multi-layer neural network trained by the Quasi Newton learning rule, and special tools dedicated to pre- and post-processing data. PhotoRApToR has been successfully tested on several scientific cases. The application is available for free download from the DAME Program web site. <P /> | en_US |
dc.language.iso | eng | en_US |
dc.title | Photometric redshift estimation based on data mining with PhotoRApToR | en_US |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s10686-015-9443-4 | en_US |
dc.identifier.scopus | 2-s2.0-84945301895 | en_US |
dc.identifier.isi | 000352156800005 | en_US |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs10686-015-9443-4 | en_US |
dc.relation.medium | STAMPA | en_US |
dc.relation.volume | 39 | en_US |
dc.relation.issue | 1 | en_US |
dc.relation.firstpage | 45 | en_US |
dc.relation.lastpage | 71 | en_US |
dc.relation.numberofpages | 26 | en_US |
dc.type.referee | REF_1 | en_US |
dc.description.numberofauthors | 4 | en_US |
dc.description.international | no | en_US |
dc.contributor.country | ITA | en_US |
dc.relation.scientificsector | FIS/05 - ASTRONOMIA E ASTROFISICA | en_US |
dc.relation.journal | EXPERIMENTAL ASTRONOMY | en_US |
dc.type.miur | 262 Articolo in rivista | - |
dc.identifier.adsbibcode | 2015ExA....39...45C | en_US |
dc.relation.ercsector | Scienze Fisiche Settori ERC (ERC) di riferimento::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation | en_US |
dc.description.apc | no | en_US |
dc.description.oa | 1 – prodotto con file in versione Open Access (allegherò il file al passo 5-Carica) | en_US |
local.message.claim | 2020-08-04T11:05:10.669+0200|||rp09320|||submit_approve|||dc_contributor_author|||None | * |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.orcid | 0000-0002-3787-4196 | - |
crisitem.author.orcid | 0000-0001-9506-5680 | - |
crisitem.journal.journalissn | 0922-6435 | - |
crisitem.journal.ance | E061604 | - |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
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Experimental posprint.pdf | postprint | 3.33 MB | Adobe PDF | View/Open |
Cavuoti2015_Article_PhotometricRedshiftEstimationB.pdf | [administrators only] | 3.03 MB | Adobe PDF |
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