Mostrar registro simples

dc.contributor.authorPavani, Daniela Borgespt_BR
dc.contributor.authorKerber, Leandro de Oliveirapt_BR
dc.contributor.authorBica, Eduardo Luiz Damianipt_BR
dc.contributor.authorMaciel, Walter Junqueirapt_BR
dc.date.accessioned2014-06-10T02:05:14Zpt_BR
dc.date.issued2011pt_BR
dc.identifier.issn0035-8711pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/96279pt_BR
dc.description.abstractThe dynamical processes that lead to open cluster disruption cause its mass to decrease. To investigate such processes from the observational point of view, it is important to identify open cluster remnants (OCRs), which are intrinsically poorly populated. Due to their nature, distinguishing them from field star fluctuations is still an unresolved issue. In this work, we developed a statistical diagnostic tool to distinguish poorly populated star concentrations from background field fluctuations. We use 2MASS photometry to explore one of the conditions required for a stellar group to be a physical group: to produce distinct sequences in a colour– magnitude diagram (CMD). We use automated tools to (i) derive the limiting radius; (ii) decontaminate the field and assign membership probabilities; (iii) fit isochrones; and (iv) compare object and field CMDs, considering the isochrone solution, in order to verify the similarity. If the object cannot be statistically considered as a field fluctuation, we derive its probable age, distance modulus, reddening and uncertainties in a self-consistent way. As a test, we apply the tool to open clusters and comparison fields. Finally, we study the OCR candidates DoDz 6,NGC272, ESO 435 SC48 and ESO 325 SC15. The tool is optimized to treat these lowstatistic objects and to separate the bestOCRcandidates for studies on kinematics and chemical composition. The study of the possible OCRs will certainly provide a deep understanding of OCR properties and constraints for theoretical models, including insights into the evolution of open clusters and dissolution rates.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofMonthly notices of the royal astronomical society. Oxford. Vol. 412, no. 3 (Apr. 2011), p. 1611-1626pt_BR
dc.rightsOpen Accessen
dc.subjectMethods: data analysisen
dc.subjectAglomerados abertos e associaçõespt_BR
dc.subjectMethods: statisticalen
dc.subjectAglomerados estelarespt_BR
dc.subjectOpen clusters and associations: individual: DoDz 6en
dc.subjectDiagramaspt_BR
dc.subjectOpen clusters and associations: individual: NGC272en
dc.subjectOpen clusters and associations: individual: ESO 435 SC48en
dc.subjectOpen clusters and associations: individual: ESO 325 SC15en
dc.titleDiagnostic tool to analyse colour–magnitude diagrams of poorly populated stellar concentrationspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000816099pt_BR
dc.type.originEstrangeiropt_BR


Thumbnail
   

Este item está licenciado na Creative Commons License

Mostrar registro simples