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 | |
---|---|---|---|---|
Experimental posprint.pdf | postprint | 3.33 MB | Adobe PDF | View/Open |
Cavuoti2015_Article_PhotometricRedshiftEstimationB.pdf | [administrators only] | 3.03 MB | Adobe PDF |
Page view(s)
77
checked on Apr 25, 2024
Download(s)
36
checked on Apr 25, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are published in Open Access, unless otherwise indicated.