Will ALMA reveal the true core mass function of protoclusters?
Characterizing pre-stellar cores in star-forming regions is an important step towards the validation of theoretical models of star formation. Due to their sub-arcsecond resolution, ALMA observations can potentially provide samples of pre-stellar cores up to distances of a few kpc, where regions of m...
| Authors: | , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repository: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::a26c545e515b84f6c8d612e25b15b513 |
| Online Access: | http://hdl.handle.net/10261/337589 |
| Access Level: | Open access |
| Keyword: | MHD Turbulence Stars: formation Stars: luminosity function Mass function |
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Will ALMA reveal the true core mass function of protoclusters?Padoan, PaoloPelkonen, Veli MattiJuvela, MikaHaugbølle, TroelsNordlund, ÅkeMHDTurbulenceStars: formationStars: luminosity functionMass functionCharacterizing pre-stellar cores in star-forming regions is an important step towards the validation of theoretical models of star formation. Due to their sub-arcsecond resolution, ALMA observations can potentially provide samples of pre-stellar cores up to distances of a few kpc, where regions of massive star formation can be targeted. However, the extraction of real cores from dust-continuum observations of turbulent star-forming clouds is affected by complex projection effects. In this work, we study the problem of core extraction both in the idealized case of column-density maps and in the more realistic case of synthetic 1.3 mm ALMA observations. The analysis is carried out on 12 regions of high column density from our 250 pc simulation. We find that derived core masses are highly unreliable, with only a weak correlation between the masses of cores selected in the synthetic ALMA maps and those of the corresponding three-dimensional cores. The fraction of real three-dimensional cores detected in the synthetic maps increases monotonically with mass and remains always below 50 per cent. Above ∼1M⊙ , the core mass function derived from the column-density maps is steeper than that of the three-dimensional cores, while the core mass function from the synthetic ALMA maps has a slope closer to that of the real three-dimensional cores. Because of the mass uncertainties, proper guidance from realistic simulations is essential if ALMA observations of protoclusters at kpc distances are to be used to test star formation models.PP and VMP acknowledge financial support by the grant PID2020-115892GB-I00, funded by MCIN/AEI/ 10.13039/501100011033 and by the grant CEX2019-000918-M funded by MCIN/AEI/ 10.13039/501100011033. MJ acknowledges support from the Academy of Finland grant No. 348342. The research leading to these results has received funding from the Independent Research Fund Denmark through grant No. DFF 8021–00350B (TH).Peer reviewedOxford University PressMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Academy of FinlandIndependent Research Fund Denmark202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/337589reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115892GB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2019-000918-MSupplemental material can be obtained from a dedicated public URL: http://www.erda.dk/vgrid/alma-imf/https://doi.org/10.1093/mnras/stad1213Noinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::a26c545e515b84f6c8d612e25b15b5132026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Will ALMA reveal the true core mass function of protoclusters? |
| title |
Will ALMA reveal the true core mass function of protoclusters? |
| spellingShingle |
Will ALMA reveal the true core mass function of protoclusters? Padoan, Paolo MHD Turbulence Stars: formation Stars: luminosity function Mass function |
| title_short |
Will ALMA reveal the true core mass function of protoclusters? |
| title_full |
Will ALMA reveal the true core mass function of protoclusters? |
| title_fullStr |
Will ALMA reveal the true core mass function of protoclusters? |
| title_full_unstemmed |
Will ALMA reveal the true core mass function of protoclusters? |
| title_sort |
Will ALMA reveal the true core mass function of protoclusters? |
| dc.creator.none.fl_str_mv |
Padoan, Paolo Pelkonen, Veli Matti Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author |
Padoan, Paolo |
| author_facet |
Padoan, Paolo Pelkonen, Veli Matti Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author_role |
author |
| author2 |
Pelkonen, Veli Matti Juvela, Mika Haugbølle, Troels Nordlund, Åke |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Academy of Finland Independent Research Fund Denmark |
| dc.subject.none.fl_str_mv |
MHD Turbulence Stars: formation Stars: luminosity function Mass function |
| topic |
MHD Turbulence Stars: formation Stars: luminosity function Mass function |
| description |
Characterizing pre-stellar cores in star-forming regions is an important step towards the validation of theoretical models of star formation. Due to their sub-arcsecond resolution, ALMA observations can potentially provide samples of pre-stellar cores up to distances of a few kpc, where regions of massive star formation can be targeted. However, the extraction of real cores from dust-continuum observations of turbulent star-forming clouds is affected by complex projection effects. In this work, we study the problem of core extraction both in the idealized case of column-density maps and in the more realistic case of synthetic 1.3 mm ALMA observations. The analysis is carried out on 12 regions of high column density from our 250 pc simulation. We find that derived core masses are highly unreliable, with only a weak correlation between the masses of cores selected in the synthetic ALMA maps and those of the corresponding three-dimensional cores. The fraction of real three-dimensional cores detected in the synthetic maps increases monotonically with mass and remains always below 50 per cent. Above ∼1M⊙ , the core mass function derived from the column-density maps is steeper than that of the three-dimensional cores, while the core mass function from the synthetic ALMA maps has a slope closer to that of the real three-dimensional cores. Because of the mass uncertainties, proper guidance from realistic simulations is essential if ALMA observations of protoclusters at kpc distances are to be used to test star formation models. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023 2023 |
| dc.type.none.fl_str_mv |
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/10261/337589 |
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http://hdl.handle.net/10261/337589 |
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Inglés |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115892GB-I00 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2019-000918-M Supplemental material can be obtained from a dedicated public URL: http://www.erda.dk/vgrid/alma-imf/ https://doi.org/10.1093/mnras/stad1213 No |
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application/pdf |
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Oxford University Press |
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Oxford University Press |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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