Advances in mass-loss prediction

Autores
Vink, J. S.; Benaglia, Paula; Davies, B.; de Koter, A.; Oudmaijer, R. D.
Año de publicación
2008
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present the results of Monte Carlo mass-loss predictions for massive stars covering a wide range of stellar parameters. We critically test our predictions against a range of observed massloss rates in light of the recent discussions on wind clumping. We also present a model to compute the clumping-induced polarimetric variability of hot stars and we compare this with observations of Luminous Blue Variables, for which polarimetric variability is larger than for O and Wolf-Rayet stars. Luminous Blue Variables comprise an ideal testbed for studies of wind clumping and wind geometry, as well as for wind strength calculations, and we propose they may be direct supernova progenitors.
Fil: Vink, J. S.. Armagh Observatory; Reino Unido
Fil: Benaglia, Paula. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Davies, B.. Rochester Institute Of Technology (rit); Estados Unidos
Fil: de Koter, A.. University of Amsterdam; Países Bajos
Fil: Oudmaijer, R. D.. University of Leeds; Reino Unido
Clumping in hot star winds
Postam
Alemania
Universidad de Postdam
Materia
Mass loss
Massive stars
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/150087
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Advances in mass-loss predictionVink, J. S.Benaglia, PaulaDavies, B.de Koter, A.Oudmaijer, R. D.Mass lossMassive starshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We present the results of Monte Carlo mass-loss predictions for massive stars covering a wide range of stellar parameters. We critically test our predictions against a range of observed massloss rates in light of the recent discussions on wind clumping. We also present a model to compute the clumping-induced polarimetric variability of hot stars and we compare this with observations of Luminous Blue Variables, for which polarimetric variability is larger than for O and Wolf-Rayet stars. Luminous Blue Variables comprise an ideal testbed for studies of wind clumping and wind geometry, as well as for wind strength calculations, and we propose they may be direct supernova progenitors.Fil: Vink, J. S.. Armagh Observatory; Reino UnidoFil: Benaglia, Paula. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Davies, B.. Rochester Institute Of Technology (rit); Estados UnidosFil: de Koter, A.. University of Amsterdam; Países BajosFil: Oudmaijer, R. D.. University of Leeds; Reino UnidoClumping in hot star windsPostamAlemaniaUniversidad de PostdamUniversitätsverlag PotsdamHamann, W. R.Feldmeier, A.Oskinova, L. M.2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectWorkshopBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150087Advances in mass-loss prediction; Clumping in hot star winds; Postam; Alemania; 2007; 1-4978-3-940793-33-1CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://publishup.uni-potsdam.de/frontdoor/index/index/docId/1574Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:19:53Zoai:ri.conicet.gov.ar:11336/150087instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:19:53.505CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Advances in mass-loss prediction
title Advances in mass-loss prediction
spellingShingle Advances in mass-loss prediction
Vink, J. S.
Mass loss
Massive stars
title_short Advances in mass-loss prediction
title_full Advances in mass-loss prediction
title_fullStr Advances in mass-loss prediction
title_full_unstemmed Advances in mass-loss prediction
title_sort Advances in mass-loss prediction
dc.creator.none.fl_str_mv Vink, J. S.
Benaglia, Paula
Davies, B.
de Koter, A.
Oudmaijer, R. D.
author Vink, J. S.
author_facet Vink, J. S.
Benaglia, Paula
Davies, B.
de Koter, A.
Oudmaijer, R. D.
author_role author
author2 Benaglia, Paula
Davies, B.
de Koter, A.
Oudmaijer, R. D.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Hamann, W. R.
Feldmeier, A.
Oskinova, L. M.
dc.subject.none.fl_str_mv Mass loss
Massive stars
topic Mass loss
Massive stars
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We present the results of Monte Carlo mass-loss predictions for massive stars covering a wide range of stellar parameters. We critically test our predictions against a range of observed massloss rates in light of the recent discussions on wind clumping. We also present a model to compute the clumping-induced polarimetric variability of hot stars and we compare this with observations of Luminous Blue Variables, for which polarimetric variability is larger than for O and Wolf-Rayet stars. Luminous Blue Variables comprise an ideal testbed for studies of wind clumping and wind geometry, as well as for wind strength calculations, and we propose they may be direct supernova progenitors.
Fil: Vink, J. S.. Armagh Observatory; Reino Unido
Fil: Benaglia, Paula. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Davies, B.. Rochester Institute Of Technology (rit); Estados Unidos
Fil: de Koter, A.. University of Amsterdam; Países Bajos
Fil: Oudmaijer, R. D.. University of Leeds; Reino Unido
Clumping in hot star winds
Postam
Alemania
Universidad de Postdam
description We present the results of Monte Carlo mass-loss predictions for massive stars covering a wide range of stellar parameters. We critically test our predictions against a range of observed massloss rates in light of the recent discussions on wind clumping. We also present a model to compute the clumping-induced polarimetric variability of hot stars and we compare this with observations of Luminous Blue Variables, for which polarimetric variability is larger than for O and Wolf-Rayet stars. Luminous Blue Variables comprise an ideal testbed for studies of wind clumping and wind geometry, as well as for wind strength calculations, and we propose they may be direct supernova progenitors.
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Workshop
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/150087
Advances in mass-loss prediction; Clumping in hot star winds; Postam; Alemania; 2007; 1-4
978-3-940793-33-1
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150087
identifier_str_mv Advances in mass-loss prediction; Clumping in hot star winds; Postam; Alemania; 2007; 1-4
978-3-940793-33-1
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publishup.uni-potsdam.de/frontdoor/index/index/docId/1574
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Universitätsverlag Potsdam
publisher.none.fl_str_mv Universitätsverlag Potsdam
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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