Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/28798
DC Field | Value | Language |
---|---|---|
dc.contributor.author | DELLI VENERI, MICHELE | en_US |
dc.contributor.author | CAVUOTI, STEFANO | en_US |
dc.contributor.author | BRESCIA, Massimo | en_US |
dc.contributor.author | Longo, G. | en_US |
dc.contributor.author | RICCIO, GIUSEPPE | en_US |
dc.date.accessioned | 2020-12-11T14:29:14Z | - |
dc.date.available | 2020-12-11T14:29:14Z | - |
dc.date.issued | 2019 | en_US |
dc.identifier.issn | 0035-8711 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12386/28798 | - |
dc.description.abstract | Star formation rates (SFRs) are crucial to constrain theories of galaxy formation and evolution. SFRs are usually estimated via spectroscopic observations requiring large amounts of telescope time. We explore an alternative approach based on the photometric estimation of global SFRs for large samples of galaxies, by using methods such as automatic parameter space optimisation, and supervised machine learning models. We demonstrate that, with such approach, accurate multiband photometry allows to estimate reliable SFRs. We also investigate how the use of photometric rather than spectroscopic redshifts, affects the accuracy of derived global SFRs. Finally, we provide a publicly available catalogue of SFRs for more than 27 million galaxies extracted from the Sloan Digital Sky Survey Data Release 7. The catalogue will be made available through the Vizier facility. | en_US |
dc.language.iso | eng | en_US |
dc.title | Star formation rates for photometric samples of galaxies using machine learning methods | en_US |
dc.type | Article | - |
dc.identifier.doi | 10.1093/mnras/stz856 | en_US |
dc.identifier.scopus | 2-s2.0-85066872795 | en_US |
dc.identifier.isi | 000474894100101 | en_US |
dc.identifier.url | https://doi.org/10.1093/mnras/stz856 | en_US |
dc.identifier.url | https://academic.oup.com/mnras/article-abstract/486/1/1377/5420450?redirectedFrom=fulltext | en_US |
dc.relation.medium | STAMPA | en_US |
dc.relation.volume | 486 | en_US |
dc.relation.issue | 1 | en_US |
dc.relation.firstpage | 1377 | en_US |
dc.relation.lastpage | 1391 | en_US |
dc.relation.numberofpages | 15 | en_US |
dc.type.referee | REF_1 | en_US |
dc.description.numberofauthors | 5 | 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 | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | en_US |
dc.type.miur | 262 Articolo in rivista | - |
dc.identifier.adsbibcode | 2019MNRAS.486.1377D | 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.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
crisitem.journal.journalissn | 0035-8711 | - |
crisitem.journal.ance | E112946 | - |
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 | 0000-0002-3787-4196 | - |
crisitem.author.orcid | 0000-0001-9506-5680 | - |
crisitem.author.orcid | 0000-0001-7020-1172 | - |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
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DelliVeneristz856.pdf | Pdf editoriale | 4.31 MB | Adobe PDF | View/Open |
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