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Article: Multiwavelength diagnostic properties of Galactic planetary nebulae detected by the GLIMPSE-I

TitleMultiwavelength diagnostic properties of Galactic planetary nebulae detected by the GLIMPSE-I
Authors
KeywordsPhotodissociation region (PDR)
Infrared: ISMRadio continuum: ISM
planetary nebulae: general
HII regions
Issue Date2011
Citation
Monthly Notices of the Royal Astronomical Society, 2011, v. 413, n. 1, p. 514-542 How to Cite?
AbstractWe uniformly analyse 136 optically detected planetary nebulae (PNe) and candidates from the GLIMPSE-I in order to develop robust, multiwavelength, classification criteria to augment existing diagnostics and provide pure PN samples. PNe represent powerful astrophysical probes. They are important dynamical tracers, key sources of interstellar medium chemical enrichment, windows into late stellar evolution and potent cosmological yardsticks. However, their utility depends on separating them unequivocally from the many nebular mimics which can strongly resemble bona fide PNe in traditional optical images and spectra. We merge new PNe from the carefully evaluated, homogeneous Macquarie-AAO-Strasbourg Hα PN Project (MASH-I) and MASH-II surveys, which offer a wider evolutionary range of PNe than hitherto available, with previously known PNe classified by SIMBAD. Mid-infrared (MIR) measurements vitally complement optical data because they reveal other physical processes and morphologies via fine-structure lines, molecular bands and dust. MIR colour-colour planes, optical emission-line ratios and radio fluxes show the unambiguous classification of PNe to be complex, requiring all available evidence. Statistical trends provide predictive value and we offer quantitative MIR criteria to determine whether an emission nebula is most likely to be a PN or one of the frequent contaminants such as compact HII regions or symbiotic systems. Prerequisites have been optical images and spectra, but MIR morphology, colours, environment and a candidate's MIR-to-radio flux ratio provide a more rigorous classification. Our ultimate goal is to recognize PNe using only MIR and radio characteristics, enabling us to trawl for PNe effectively even in heavily obscured regions of the Galaxy. © 2011 The Authors. Monthly Notices of the Royal Astronomical Society © 2011 RAS.
Persistent Identifierhttp://hdl.handle.net/10722/209008
ISSN
2015 Impact Factor: 4.952
2015 SCImago Journal Rankings: 2.806

 

DC FieldValueLanguage
dc.contributor.authorCohen, Martin G.-
dc.contributor.authorParker, Quentin A.-
dc.contributor.authorGreen, Anne J.-
dc.contributor.authorMiszalski, Brent-
dc.contributor.authorFrew, David J.-
dc.contributor.authorMurphy, Tara-
dc.date.accessioned2015-03-23T02:02:32Z-
dc.date.available2015-03-23T02:02:32Z-
dc.date.issued2011-
dc.identifier.citationMonthly Notices of the Royal Astronomical Society, 2011, v. 413, n. 1, p. 514-542-
dc.identifier.issn0035-8711-
dc.identifier.urihttp://hdl.handle.net/10722/209008-
dc.description.abstractWe uniformly analyse 136 optically detected planetary nebulae (PNe) and candidates from the GLIMPSE-I in order to develop robust, multiwavelength, classification criteria to augment existing diagnostics and provide pure PN samples. PNe represent powerful astrophysical probes. They are important dynamical tracers, key sources of interstellar medium chemical enrichment, windows into late stellar evolution and potent cosmological yardsticks. However, their utility depends on separating them unequivocally from the many nebular mimics which can strongly resemble bona fide PNe in traditional optical images and spectra. We merge new PNe from the carefully evaluated, homogeneous Macquarie-AAO-Strasbourg Hα PN Project (MASH-I) and MASH-II surveys, which offer a wider evolutionary range of PNe than hitherto available, with previously known PNe classified by SIMBAD. Mid-infrared (MIR) measurements vitally complement optical data because they reveal other physical processes and morphologies via fine-structure lines, molecular bands and dust. MIR colour-colour planes, optical emission-line ratios and radio fluxes show the unambiguous classification of PNe to be complex, requiring all available evidence. Statistical trends provide predictive value and we offer quantitative MIR criteria to determine whether an emission nebula is most likely to be a PN or one of the frequent contaminants such as compact HII regions or symbiotic systems. Prerequisites have been optical images and spectra, but MIR morphology, colours, environment and a candidate's MIR-to-radio flux ratio provide a more rigorous classification. Our ultimate goal is to recognize PNe using only MIR and radio characteristics, enabling us to trawl for PNe effectively even in heavily obscured regions of the Galaxy. © 2011 The Authors. Monthly Notices of the Royal Astronomical Society © 2011 RAS.-
dc.languageeng-
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society-
dc.subjectPhotodissociation region (PDR)-
dc.subjectInfrared: ISMRadio continuum: ISM-
dc.subjectplanetary nebulae: general-
dc.subjectHII regions-
dc.titleMultiwavelength diagnostic properties of Galactic planetary nebulae detected by the GLIMPSE-I-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1365-2966.2010.18157.x-
dc.identifier.scopuseid_2-s2.0-79959817323-
dc.identifier.volume413-
dc.identifier.issue1-
dc.identifier.spage514-
dc.identifier.epage542-
dc.identifier.eissn1365-2966-

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