Type Ia Supernova Progenitor Properties and their Host Galaxies
We present an eigenfunction method to analyze 161 visual light curves (LCs) of Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project to characterize their diversity and host-galaxy correlations. The eigenfunctions are based on the delayed-detonation (DD) scenario using three paramet...
| Autores: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/383310 |
| Acceso en línea: | http://hdl.handle.net/10261/383310 https://api.elsevier.com/content/abstract/scopus_id/85198093610 |
| Access Level: | acceso abierto |
| Palabra clave: | Type Ia supernovae |
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Type Ia Supernova Progenitor Properties and their Host Galaxies |
| title |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| spellingShingle |
Type Ia Supernova Progenitor Properties and their Host Galaxies Chakraborty, Sudeshna Type Ia supernovae |
| title_short |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| title_full |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| title_fullStr |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| title_full_unstemmed |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| title_sort |
Type Ia Supernova Progenitor Properties and their Host Galaxies |
| dc.creator.none.fl_str_mv |
Chakraborty, Sudeshna Sadler, Benjamin Hoeflich, Peter Hsiao, E. Y. Phillips, M. M. Burns, Christopher R. Diamond, Tiara Domínguez, Inmaculada Galbany, Lluís Uddin, Syed A. Ashall, Chris Krisciunas, Kevin Kumar, Sahana Mera, Tyco Morrell, Nidia Baron, Edward Sánchez Contreras, C. Stritzinger, Maximilian Suntzeff, Nicholas B. |
| author |
Chakraborty, Sudeshna |
| author_facet |
Chakraborty, Sudeshna Sadler, Benjamin Hoeflich, Peter Hsiao, E. Y. Phillips, M. M. Burns, Christopher R. Diamond, Tiara Domínguez, Inmaculada Galbany, Lluís Uddin, Syed A. Ashall, Chris Krisciunas, Kevin Kumar, Sahana Mera, Tyco Morrell, Nidia Baron, Edward Sánchez Contreras, C. Stritzinger, Maximilian Suntzeff, Nicholas B. |
| author_role |
author |
| author2 |
Sadler, Benjamin Hoeflich, Peter Hsiao, E. Y. Phillips, M. M. Burns, Christopher R. Diamond, Tiara Domínguez, Inmaculada Galbany, Lluís Uddin, Syed A. Ashall, Chris Krisciunas, Kevin Kumar, Sahana Mera, Tyco Morrell, Nidia Baron, Edward Sánchez Contreras, C. Stritzinger, Maximilian Suntzeff, Nicholas B. |
| author2_role |
author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
National Science Foundation (US) Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) European Commission Consejo Superior de Investigaciones Científicas (España) Independent Research Fund Denmark Chakraborty, Sudeshna 0000-0003-2183-148X Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Type Ia supernovae |
| topic |
Type Ia supernovae |
| description |
We present an eigenfunction method to analyze 161 visual light curves (LCs) of Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project to characterize their diversity and host-galaxy correlations. The eigenfunctions are based on the delayed-detonation (DD) scenario using three parameters: the LC stretch s determined by the amount of deflagration burning governing the 56Ni production, the main-sequence mass M MS of the progenitor white dwarf controlling the explosion energy, and its central density ρ c shifting the 56Ni distribution. Our analysis tool (Supernova Parameter Analysis Tool) extracts the parameters from observations and projects them into physical space using their allowed ranges (M MS ≤ 8 M ⊙, ρ c ≤ 7-8 × 109 g cm−3). The residuals between fits and individual LC points are ≈1%-3% for ≈92% of objects. We find two distinct M MS groups corresponding to a fast (≈4-65 Myr) and a slow(≈200-500 Myr) stellar evolution. Most underluminous SNe Ia have hosts with low star formation but high M MS, suggesting slow evolution times of the progenitor system. 91T-like SNe show very similar LCs and high M MS and are correlated to star formation regions, making them potentially important tracers of star formation in the early Universe out to z ≈ 4-11. Some ∼6% outliers with nonphysical parameters using DD scenarios can be attributed to superluminous SNe Ia and subluminous SNe Ia with hosts of active star formation. For deciphering the SNe Ia diversity and high-precision SNe Ia cosmology, the importance is shown for LCs covering out to ≈60 days past maximum. Finally, our method and results are discussed within the framework of multiple explosion scenarios, and in light of upcoming surveys. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2025 2025 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/383310 https://api.elsevier.com/content/abstract/scopus_id/85198093610 |
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http://hdl.handle.net/10261/383310 https://api.elsevier.com/content/abstract/scopus_id/85198093610 |
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Inglés Italiano Portugués |
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Inglés Italiano Portugués |
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info:eu-repo/semantics/openAccess |
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openAccess |
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IOP Publishing |
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IOP Publishing |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Type Ia Supernova Progenitor Properties and their Host GalaxiesChakraborty, SudeshnaSadler, BenjaminHoeflich, PeterHsiao, E. Y.Phillips, M. M.Burns, Christopher R.Diamond, TiaraDomínguez, InmaculadaGalbany, LluísUddin, Syed A.Ashall, ChrisKrisciunas, KevinKumar, SahanaMera, TycoMorrell, NidiaBaron, EdwardSánchez Contreras, C.Stritzinger, MaximilianSuntzeff, Nicholas B.Type Ia supernovaeWe present an eigenfunction method to analyze 161 visual light curves (LCs) of Type Ia supernovae (SNe Ia) obtained by the Carnegie Supernova Project to characterize their diversity and host-galaxy correlations. The eigenfunctions are based on the delayed-detonation (DD) scenario using three parameters: the LC stretch s determined by the amount of deflagration burning governing the 56Ni production, the main-sequence mass M MS of the progenitor white dwarf controlling the explosion energy, and its central density ρ c shifting the 56Ni distribution. Our analysis tool (Supernova Parameter Analysis Tool) extracts the parameters from observations and projects them into physical space using their allowed ranges (M MS ≤ 8 M ⊙, ρ c ≤ 7-8 × 109 g cm−3). The residuals between fits and individual LC points are ≈1%-3% for ≈92% of objects. We find two distinct M MS groups corresponding to a fast (≈4-65 Myr) and a slow(≈200-500 Myr) stellar evolution. Most underluminous SNe Ia have hosts with low star formation but high M MS, suggesting slow evolution times of the progenitor system. 91T-like SNe show very similar LCs and high M MS and are correlated to star formation regions, making them potentially important tracers of star formation in the early Universe out to z ≈ 4-11. Some ∼6% outliers with nonphysical parameters using DD scenarios can be attributed to superluminous SNe Ia and subluminous SNe Ia with hosts of active star formation. For deciphering the SNe Ia diversity and high-precision SNe Ia cosmology, the importance is shown for LCs covering out to ≈60 days past maximum. Finally, our method and results are discussed within the framework of multiple explosion scenarios, and in light of upcoming surveys.This work is based on the PhD thesis of S.C., who would like to thank her fellow graduate students for their support. P.H. acknowledges support by NSF grants AST-1715133 and AST-2306395. The observations have been obtained as part of the Carnegie Supernovae Project I and II, funded by the NSF under grant Nos. AST-0306969, AST-0607438, AST-1008343, AST-1613426, AST-1613455, and AST-1613472. S.C. would like to thank her husband, Arka Santra, for his support. L.G. acknowledges financial support from the Spanish Ministerio de Ciencia e Innovación (MCIN), the Agencia Estatal de Investigación (AEI) 10.13039/501100011033, and the European Social Fund (ESF) "Investing in your future" under the 2019 Ramón y Cajal program RYC2019-027683-I and the PID2020-115253GA-I00 HOSTFLOWS project, from Centro Superior de Investigaciones Científicas (CSIC) under the PIE project 20215AT016, and the program Unidad de Excelencia María de Maeztu CEX2020-001058-M. I.D. is partially supported by the project PID2021-123110NB-I00 financed by MCIN/AEI /10.13039/501100011033/FEDER, UE. M.D. Stritzinger is funded by the Independent Research Fund Denmark (IRFD; grant No. 10.46540/2032-00022B).With funding from the Spanish government through the "María de Maeztu Unit of Excellence" accreditation (CEX2020-001058-M)Peer reviewedIOP PublishingNational Science Foundation (US)Ministerio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European CommissionConsejo Superior de Investigaciones Científicas (España)Independent Research Fund DenmarkChakraborty, Sudeshna 0000-0003-2183-148XConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/383310https://api.elsevier.com/content/abstract/scopus_id/85198093610reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésItalianoPortugués#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI//RYC2019-027683-Iinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115253GA-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2020-001058-Minfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123110NB-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.3847/1538-4357/ad4702https://doi.org/10.3847/1538-4357/ad4702Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3833102026-05-22T06:33:51Z |
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