Carnegie supernova project: classification of type Ia supernovae

Autores
Anthony, Lilian María; Baron, Edward; Ashall, Chris; Burns, Christopher R.; Morrell, Nidia Irene; Stritzinger, Maximilian; Brown, Peter J.; Folatelli, Gaston; Freedman, Wendy L.; Galbany, Lluís; Hoeflich, Peter; Hsiao, Eric; Krisciunas, Kevin; Phillips, M. M.; Piro, Anthony L.; Suntzeff, Nicholas B.; Uddin, Syed
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We use the spectroscopy and homogeneous photometry of 97 Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project as well as a subset of 36 SNe Ia presented by Zheng et al. to examine maximum-light correlations in a four-dimensional (4D) parameter space: B-band absolute magnitude, MB, Si II λ6355 velocity, vSi II, and Si II pseudo-equivalent widths pEW(Si II λ6355) and pEW(Si II λ5972). It is shown using Gaussian mixture models (GMMs) that the original four groups in the Branch diagram are well-defined and robust in this parameterization. We find three continuous groups that describe the behavior of our sample in [MB, vSi II] space. Extending the GMM into the full 4D space yields a grouping system that only slightly alters group definitions in the [MB, vSi II] projection, showing that most of the clustering information in [MB, vSi II] is already contained in the 2D GMM groupings. However, the full 4D space does divide group membership for faster objects between core-normal and broad-line objects in the Branch diagram. A significant correlation between MB and pseudo-equivalent width (Si II λ5972) is found, which implies that Branch group membership can be well-constrained by spectroscopic quantities alone. In general, we find that higher-dimensional GMMs reduce the uncertainty of group membership for objects between the originally defined Branch groups. We also find that the broad-line Branch group becomes nearly distinct with the inclusion of vSi II, indicating that this subclass of SNe Ia may be somehow different from the other groups.
Fil: Anthony, Lilian María. Oklahoma State University; Estados Unidos
Fil: Baron, Edward. Oklahoma State University; Estados Unidos. Universitat Hamburg; Alemania
Fil: Ashall, Chris. Florida State University; Estados Unidos
Fil: Burns, Christopher R.. Carnegie Observatories; Estados Unidos
Fil: Morrell, Nidia Irene. Las Campanas Observatory; Chile
Fil: Stritzinger, Maximilian. University Aarhus; Dinamarca
Fil: Brown, Peter J.. Texas A&M University; Estados Unidos
Fil: Folatelli, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Freedman, Wendy L.. University of Chicago; Estados Unidos
Fil: Galbany, Lluís. Universidad de Granada; España
Fil: Hoeflich, Peter. Florida State University; Estados Unidos
Fil: Hsiao, Eric. Florida State University; Estados Unidos
Fil: Krisciunas, Kevin. Texas A&M University; Estados Unidos
Fil: Phillips, M. M.. Las Campanas Observatory; Chile
Fil: Piro, Anthony L.. Carnegie Observatories; Estados Unidos
Fil: Suntzeff, Nicholas B.. Texas A&M University; Estados Unidos
Fil: Uddin, Syed. Carnegie Observatories; Estados Unidos
Materia
Supernovae
Carnegie Supernova Project
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:11336/147528
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/147528
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Carnegie supernova project: classification of type Ia supernovaeAnthony, Lilian MaríaBaron, EdwardAshall, ChrisBurns, Christopher R.Morrell, Nidia IreneStritzinger, MaximilianBrown, Peter J.Folatelli, GastonFreedman, Wendy L.Galbany, LluísHoeflich, PeterHsiao, EricKrisciunas, KevinPhillips, M. M.Piro, Anthony L.Suntzeff, Nicholas B.Uddin, SyedSupernovaeCarnegie Supernova Projecthttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We use the spectroscopy and homogeneous photometry of 97 Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project as well as a subset of 36 SNe Ia presented by Zheng et al. to examine maximum-light correlations in a four-dimensional (4D) parameter space: B-band absolute magnitude, MB, Si II λ6355 velocity, vSi II, and Si II pseudo-equivalent widths pEW(Si II λ6355) and pEW(Si II λ5972). It is shown using Gaussian mixture models (GMMs) that the original four groups in the Branch diagram are well-defined and robust in this parameterization. We find three continuous groups that describe the behavior of our sample in [MB, vSi II] space. Extending the GMM into the full 4D space yields a grouping system that only slightly alters group definitions in the [MB, vSi II] projection, showing that most of the clustering information in [MB, vSi II] is already contained in the 2D GMM groupings. However, the full 4D space does divide group membership for faster objects between core-normal and broad-line objects in the Branch diagram. A significant correlation between MB and pseudo-equivalent width (Si II λ5972) is found, which implies that Branch group membership can be well-constrained by spectroscopic quantities alone. In general, we find that higher-dimensional GMMs reduce the uncertainty of group membership for objects between the originally defined Branch groups. We also find that the broad-line Branch group becomes nearly distinct with the inclusion of vSi II, indicating that this subclass of SNe Ia may be somehow different from the other groups.Fil: Anthony, Lilian María. Oklahoma State University; Estados UnidosFil: Baron, Edward. Oklahoma State University; Estados Unidos. Universitat Hamburg; AlemaniaFil: Ashall, Chris. Florida State University; Estados UnidosFil: Burns, Christopher R.. Carnegie Observatories; Estados UnidosFil: Morrell, Nidia Irene. Las Campanas Observatory; ChileFil: Stritzinger, Maximilian. University Aarhus; DinamarcaFil: Brown, Peter J.. Texas A&M University; Estados UnidosFil: Folatelli, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Freedman, Wendy L.. University of Chicago; Estados UnidosFil: Galbany, Lluís. Universidad de Granada; EspañaFil: Hoeflich, Peter. Florida State University; Estados UnidosFil: Hsiao, Eric. Florida State University; Estados UnidosFil: Krisciunas, Kevin. Texas A&M University; Estados UnidosFil: Phillips, M. M.. Las Campanas Observatory; ChileFil: Piro, Anthony L.. Carnegie Observatories; Estados UnidosFil: Suntzeff, Nicholas B.. Texas A&M University; Estados UnidosFil: Uddin, Syed. Carnegie Observatories; Estados UnidosIOP Publishing2020-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147528Anthony, Lilian María; Baron, Edward; Ashall, Chris; Burns, Christopher R.; Morrell, Nidia Irene; et al.; Carnegie supernova project: classification of type Ia supernovae; IOP Publishing; Astrophysical Journal; 901; 2; 10-2020; 154-1790004-637XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/abafa2info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.3847/1538-4357/abafa2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:36Zoai:ri.conicet.gov.ar:11336/147528instacron: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:34982025-09-03 09:54:36.279CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Carnegie supernova project: classification of type Ia supernovae
title Carnegie supernova project: classification of type Ia supernovae
spellingShingle Carnegie supernova project: classification of type Ia supernovae
Anthony, Lilian María
Supernovae
Carnegie Supernova Project
title_short Carnegie supernova project: classification of type Ia supernovae
title_full Carnegie supernova project: classification of type Ia supernovae
title_fullStr Carnegie supernova project: classification of type Ia supernovae
title_full_unstemmed Carnegie supernova project: classification of type Ia supernovae
title_sort Carnegie supernova project: classification of type Ia supernovae
dc.creator.none.fl_str_mv Anthony, Lilian María
Baron, Edward
Ashall, Chris
Burns, Christopher R.
Morrell, Nidia Irene
Stritzinger, Maximilian
Brown, Peter J.
Folatelli, Gaston
Freedman, Wendy L.
Galbany, Lluís
Hoeflich, Peter
Hsiao, Eric
Krisciunas, Kevin
Phillips, M. M.
Piro, Anthony L.
Suntzeff, Nicholas B.
Uddin, Syed
author Anthony, Lilian María
author_facet Anthony, Lilian María
Baron, Edward
Ashall, Chris
Burns, Christopher R.
Morrell, Nidia Irene
Stritzinger, Maximilian
Brown, Peter J.
Folatelli, Gaston
Freedman, Wendy L.
Galbany, Lluís
Hoeflich, Peter
Hsiao, Eric
Krisciunas, Kevin
Phillips, M. M.
Piro, Anthony L.
Suntzeff, Nicholas B.
Uddin, Syed
author_role author
author2 Baron, Edward
Ashall, Chris
Burns, Christopher R.
Morrell, Nidia Irene
Stritzinger, Maximilian
Brown, Peter J.
Folatelli, Gaston
Freedman, Wendy L.
Galbany, Lluís
Hoeflich, Peter
Hsiao, Eric
Krisciunas, Kevin
Phillips, M. M.
Piro, Anthony L.
Suntzeff, Nicholas B.
Uddin, Syed
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Supernovae
Carnegie Supernova Project
topic Supernovae
Carnegie Supernova Project
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 use the spectroscopy and homogeneous photometry of 97 Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project as well as a subset of 36 SNe Ia presented by Zheng et al. to examine maximum-light correlations in a four-dimensional (4D) parameter space: B-band absolute magnitude, MB, Si II λ6355 velocity, vSi II, and Si II pseudo-equivalent widths pEW(Si II λ6355) and pEW(Si II λ5972). It is shown using Gaussian mixture models (GMMs) that the original four groups in the Branch diagram are well-defined and robust in this parameterization. We find three continuous groups that describe the behavior of our sample in [MB, vSi II] space. Extending the GMM into the full 4D space yields a grouping system that only slightly alters group definitions in the [MB, vSi II] projection, showing that most of the clustering information in [MB, vSi II] is already contained in the 2D GMM groupings. However, the full 4D space does divide group membership for faster objects between core-normal and broad-line objects in the Branch diagram. A significant correlation between MB and pseudo-equivalent width (Si II λ5972) is found, which implies that Branch group membership can be well-constrained by spectroscopic quantities alone. In general, we find that higher-dimensional GMMs reduce the uncertainty of group membership for objects between the originally defined Branch groups. We also find that the broad-line Branch group becomes nearly distinct with the inclusion of vSi II, indicating that this subclass of SNe Ia may be somehow different from the other groups.
Fil: Anthony, Lilian María. Oklahoma State University; Estados Unidos
Fil: Baron, Edward. Oklahoma State University; Estados Unidos. Universitat Hamburg; Alemania
Fil: Ashall, Chris. Florida State University; Estados Unidos
Fil: Burns, Christopher R.. Carnegie Observatories; Estados Unidos
Fil: Morrell, Nidia Irene. Las Campanas Observatory; Chile
Fil: Stritzinger, Maximilian. University Aarhus; Dinamarca
Fil: Brown, Peter J.. Texas A&M University; Estados Unidos
Fil: Folatelli, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Freedman, Wendy L.. University of Chicago; Estados Unidos
Fil: Galbany, Lluís. Universidad de Granada; España
Fil: Hoeflich, Peter. Florida State University; Estados Unidos
Fil: Hsiao, Eric. Florida State University; Estados Unidos
Fil: Krisciunas, Kevin. Texas A&M University; Estados Unidos
Fil: Phillips, M. M.. Las Campanas Observatory; Chile
Fil: Piro, Anthony L.. Carnegie Observatories; Estados Unidos
Fil: Suntzeff, Nicholas B.. Texas A&M University; Estados Unidos
Fil: Uddin, Syed. Carnegie Observatories; Estados Unidos
description We use the spectroscopy and homogeneous photometry of 97 Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project as well as a subset of 36 SNe Ia presented by Zheng et al. to examine maximum-light correlations in a four-dimensional (4D) parameter space: B-band absolute magnitude, MB, Si II λ6355 velocity, vSi II, and Si II pseudo-equivalent widths pEW(Si II λ6355) and pEW(Si II λ5972). It is shown using Gaussian mixture models (GMMs) that the original four groups in the Branch diagram are well-defined and robust in this parameterization. We find three continuous groups that describe the behavior of our sample in [MB, vSi II] space. Extending the GMM into the full 4D space yields a grouping system that only slightly alters group definitions in the [MB, vSi II] projection, showing that most of the clustering information in [MB, vSi II] is already contained in the 2D GMM groupings. However, the full 4D space does divide group membership for faster objects between core-normal and broad-line objects in the Branch diagram. A significant correlation between MB and pseudo-equivalent width (Si II λ5972) is found, which implies that Branch group membership can be well-constrained by spectroscopic quantities alone. In general, we find that higher-dimensional GMMs reduce the uncertainty of group membership for objects between the originally defined Branch groups. We also find that the broad-line Branch group becomes nearly distinct with the inclusion of vSi II, indicating that this subclass of SNe Ia may be somehow different from the other groups.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/147528
Anthony, Lilian María; Baron, Edward; Ashall, Chris; Burns, Christopher R.; Morrell, Nidia Irene; et al.; Carnegie supernova project: classification of type Ia supernovae; IOP Publishing; Astrophysical Journal; 901; 2; 10-2020; 154-179
0004-637X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/147528
identifier_str_mv Anthony, Lilian María; Baron, Edward; Ashall, Chris; Burns, Christopher R.; Morrell, Nidia Irene; et al.; Carnegie supernova project: classification of type Ia supernovae; IOP Publishing; Astrophysical Journal; 901; 2; 10-2020; 154-179
0004-637X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/abafa2
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.3847/1538-4357/abafa2
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.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
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 13.13397

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