Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/20.500.12386/28782
Campo DC | Valore | Lingua |
---|---|---|
dc.contributor.author | Angora, G. | en_US |
dc.contributor.author | BRESCIA, Massimo | en_US |
dc.contributor.author | CAVUOTI, STEFANO | en_US |
dc.contributor.author | Paolillo, Maurizio | en_US |
dc.contributor.author | Longo, G. | en_US |
dc.contributor.author | CANTIELLO, Michele | en_US |
dc.contributor.author | Capaccioli, M. | en_US |
dc.contributor.author | D'Abrusco, R. | en_US |
dc.contributor.author | D'Ago, G. | en_US |
dc.contributor.author | Hilker, M. | en_US |
dc.contributor.author | IODICE, ENRICHETTA | en_US |
dc.contributor.author | Mieske, S. | en_US |
dc.contributor.author | NAPOLITANO, NICOLA ROSARIO | en_US |
dc.contributor.author | Peletier, R. | en_US |
dc.contributor.author | Pota, V. | en_US |
dc.contributor.author | Puzia, T. | en_US |
dc.contributor.author | RICCIO, GIUSEPPE | en_US |
dc.contributor.author | SPAVONE, MARILENA | en_US |
dc.date.accessioned | 2020-12-10T17:06:00Z | - |
dc.date.available | 2020-12-10T17:06:00Z | - |
dc.date.issued | 2019 | en_US |
dc.identifier.issn | 0035-8711 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12386/28782 | - |
dc.description.abstract | In the last years, Astroinformatics has become a well-defined paradigm for many fields of Astronomy. In this work, we demonstrate the potential of a multidisciplinary approach to identify globular clusters (GCs) in the Fornax cluster of galaxies taking advantage of multiband photometry produced by the VLT Survey Telescope using automatic self-adaptive methodologies. The data analysed in this work consist of deep, multiband, partially overlapping images centred on the core of the Fornax cluster. In this work, we use a Neural Gas model, a pure clustering machine learning methodology, to approach the GC detection, while a novel feature selection method (ΦLAB) is exploited to perform the parameter space analysis and optimization. We demonstrate that the use of an Astroinformatics-based methodology is able to provide GC samples that are comparable, in terms of purity and completeness with those obtained using single-band HST data and two approaches based, respectively, on a morpho-photometric and a Principal Component Analysis using the same data discussed in this work. | en_US |
dc.language.iso | eng | en_US |
dc.title | Astroinformatics-based search for globular clusters in the Fornax Deep Survey | en_US |
dc.type | Article | - |
dc.identifier.doi | 10.1093/mnras/stz2801 | en_US |
dc.identifier.scopus | 2-s2.0-85078499120 | en_US |
dc.identifier.isi | 000503993100072 | en_US |
dc.identifier.url | https://academic.oup.com/mnras/article/490/3/4080/5583072 | en_US |
dc.relation.medium | STAMPA | en_US |
dc.relation.volume | 490 | en_US |
dc.relation.issue | 3 | en_US |
dc.relation.firstpage | 4080 | en_US |
dc.relation.lastpage | 4106 | en_US |
dc.relation.numberofpages | 27 | en_US |
dc.type.referee | REF_1 | en_US |
dc.description.numberofauthors | 18 | en_US |
dc.description.international | sì | en_US |
dc.contributor.country | ITA | en_US |
dc.contributor.country | USA | en_US |
dc.contributor.country | DEU | en_US |
dc.contributor.country | CHL | en_US |
dc.contributor.country | NLD | en_US |
dc.relation.scientificsector | FIS/05 - ASTRONOMIA E ASTROFISICA | en_US |
dc.relation.journal | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | en_US |
dc.type.miur | 262 Articolo in rivista | - |
dc.identifier.adsbibcode | 2019MNRAS.490.4080A | en_US |
dc.relation.ercsector | ERC sectors::Physical Sciences and Engineering::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 (allegare il file al passo 5-Carica) | en_US |
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.dept | O.A. Capodimonte | - |
crisitem.author.dept | O.A. Abruzzo | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.dept | O.A. Capodimonte | - |
crisitem.author.orcid | 0000-0001-9506-5680 | - |
crisitem.author.orcid | 0000-0002-3787-4196 | - |
crisitem.author.orcid | 0000-0003-4210-7693 | - |
crisitem.author.orcid | 0000-0003-2072-384X | - |
crisitem.author.orcid | 0000-0003-4291-0005 | - |
crisitem.author.orcid | 0000-0003-0911-8884 | - |
crisitem.author.orcid | 0000-0001-7020-1172 | - |
crisitem.author.orcid | 0000-0002-6427-7039 | - |
crisitem.journal.journalissn | 0035-8711 | - |
crisitem.journal.ance | E112946 | - |
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File in questo documento:
File | Descrizione | Dimensioni | Formato | |
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Fornaxstz2801.pdf | Pdf editoriale | 8.7 MB | Adobe PDF | Visualizza/apri |
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