The Origin of Massive Stars: The Inertial-inflow Model
We a dress the problem of the origin of massive stars, namely the origin, path, and timescale of the mass flows that create them. Based on extensive numerical simulations, we propose a scenario where massive stars are assembled by large-scale, converging, inertial flows that naturally occur in super...
| Autores: | , , , , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versión enviada para evaluación y publicación |
| Data de publicação: | 2020 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositório: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/235616 |
| Acesso em linha: | http://hdl.handle.net/10261/235616 |
| Access Level: | Acceso aberto |
| Palavra-chave: | ISM: kinematics and dynamics MHD Stars: formation Turbulence |
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| dc.title.none.fl_str_mv |
The Origin of Massive Stars: The Inertial-inflow Model |
| title |
The Origin of Massive Stars: The Inertial-inflow Model |
| spellingShingle |
The Origin of Massive Stars: The Inertial-inflow Model Padoan, Paolo ISM: kinematics and dynamics MHD Stars: formation Turbulence |
| title_short |
The Origin of Massive Stars: The Inertial-inflow Model |
| title_full |
The Origin of Massive Stars: The Inertial-inflow Model |
| title_fullStr |
The Origin of Massive Stars: The Inertial-inflow Model |
| title_full_unstemmed |
The Origin of Massive Stars: The Inertial-inflow Model |
| title_sort |
The Origin of Massive Stars: The Inertial-inflow Model |
| dc.creator.none.fl_str_mv |
Padoan, Paolo Pan, Liubin Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author |
Padoan, Paolo |
| author_facet |
Padoan, Paolo Pan, Liubin Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author_role |
author |
| author2 |
Pan, Liubin Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) Danish Council for Independent Research Academy of Finland NASA Ames Research Center University of Copenhagen Villum Fonden Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
ISM: kinematics and dynamics MHD Stars: formation Turbulence |
| topic |
ISM: kinematics and dynamics MHD Stars: formation Turbulence |
| description |
We a dress the problem of the origin of massive stars, namely the origin, path, and timescale of the mass flows that create them. Based on extensive numerical simulations, we propose a scenario where massive stars are assembled by large-scale, converging, inertial flows that naturally occur in supersonic turbulence. We refer to this scenario of massive-star formation as the inertial-inflow model. This model stems directly from the idea that the mass distribution of stars is primarily the result of turbulent fragmentation. Under this hypothesis, the statistical properties of turbulence determine the formation timescale and mass of prestellar cores, posing definite constraints on the formation mechanism of massive stars. We quantify such constraints by analyzing a simulation of supernova-driven turbulence in a 250 pc region of the interstellar medium, describing the formation of hundreds of massive stars over a time of approximately 30 Myr. Due to the large size of our statistical sample, we can say with full confidence that massive stars in general do not form from the collapse of massive cores nor from competitive accretion, as both models are incompatible with the numerical results. We also compute synthetic continuum observables in the Herschel and ALMA bands. We find that, depending on the distance of the observed regions, estimates of core mass based on commonly used methods may exceed the actual core masses by up to two orders of magnitude and that there is essentially no correlation between estimated and real core masses. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2021 2021 2021 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Preprint info:eu-repo/semantics/submittedVersion |
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article |
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submittedVersion |
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http://hdl.handle.net/10261/235616 |
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http://hdl.handle.net/10261/235616 |
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Inglés |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/t AYA2017-88754-P http://doi.org/10.3847/1538-4357/abaa47 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
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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Consejo Superior de Investigaciones Científicas (CSIC) |
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1869411753808363520 |
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The Origin of Massive Stars: The Inertial-inflow ModelPadoan, PaoloPan, LiubinJuvela, MikaHaugbølle, TroelsNordlund, ÅkeISM: kinematics and dynamicsMHDStars: formationTurbulenceWe a dress the problem of the origin of massive stars, namely the origin, path, and timescale of the mass flows that create them. Based on extensive numerical simulations, we propose a scenario where massive stars are assembled by large-scale, converging, inertial flows that naturally occur in supersonic turbulence. We refer to this scenario of massive-star formation as the inertial-inflow model. This model stems directly from the idea that the mass distribution of stars is primarily the result of turbulent fragmentation. Under this hypothesis, the statistical properties of turbulence determine the formation timescale and mass of prestellar cores, posing definite constraints on the formation mechanism of massive stars. We quantify such constraints by analyzing a simulation of supernova-driven turbulence in a 250 pc region of the interstellar medium, describing the formation of hundreds of massive stars over a time of approximately 30 Myr. Due to the large size of our statistical sample, we can say with full confidence that massive stars in general do not form from the collapse of massive cores nor from competitive accretion, as both models are incompatible with the numerical results. We also compute synthetic continuum observables in the Herschel and ALMA bands. We find that, depending on the distance of the observed regions, estimates of core mass based on commonly used methods may exceed the actual core masses by up to two orders of magnitude and that there is essentially no correlation between estimated and real core masses.PP acknowledges support by the Spanish MINECO under project AYA2017-88754-P. The work of ˚AN was supported by grant 1323-00199B from the Danish Council for Independent Research (DFF), and by the Centre for Star and Planet Formation, which is funded by the Danish National Research Foundation (DNRF97). LP acknowledges financial support from NSFC under grant No. 11973098. MJ acknowledges the support of the Academy of Finland Grant No. 285769. Computing resources for this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center. We thankfully acknowledge the computer resources at MareNostrum and the technical support provided by Barcelona Supercomputing Center (AECT-2018-3-0019). We acknowledge PRACE for awarding us access to Curie at GENCI@CEA, France. Storage and computing resources at the University of Copenhagen HPC centre, funded in part by Villum Fonden (VKR023406), were used to carry out part of the data analysis. We thank the anonymous referee for a very useful report and the following colleagues for reading the first draft and providing comments: Philippe André, Javier Ballesteros-Paredes, Henrik Beuther, Gilles Chabrier, Lee Hartmann, Patrick Hennebelle, Alessio Traficante, Enrique Vazquez-Semadeni. Special thanks to Patricio Sanhueza and Delphine Russeil for providing the electronic tables to compute the observational core mass functions shown in Figure 26, and to Alessio Traficante for many instructive discussions on the observations of infall rates in massive clumps, and for providing the electronic tables to produce the plots in Figures 29 and 30.IOP PublishingMinisterio de Economía y Competitividad (España)Ministerio de Ciencia, Innovación y Universidades (España)Danish Council for Independent ResearchAcademy of FinlandNASAAmes Research CenterUniversity of CopenhagenVillum FondenConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2021202120202021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/235616reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/t AYA2017-88754-Phttp://doi.org/10.3847/1538-4357/abaa47Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2356162026-05-22T06:33:51Z |
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15,812429 |