Data

Complete ATCA Census of High-Mass Clumps (CACHMC) Legacy Survey

Commonwealth Scientific and Industrial Research Organisation
Jackson, James M. ; Allingham, David ; Hogge, Taylor ; Whitaker, John Scott ; Patterson, Philippa ; Killerby-Smith, Nicholas ; Askew, Jacob ; Vandenberg, Thomas
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/74nw-9r95&rft.title=Complete ATCA Census of High-Mass Clumps (CACHMC) Legacy Survey&rft.identifier=https://doi.org/10.25919/74nw-9r95&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The conversion of turbulent structures within molecular clouds into high-mass stars and star clusters, the relation between Galactic and extragalactic star formation, and the effects of Galactic environment on star formation are fundamentally important, yet unsolved problems in astrophysics. The two major theories for high-mass star formation are competitive accretion and turbulent core accretion (for review see Motte et al. 2018). These theories make distinct predictions about the initial conditions within star-forming clumps, and how the gas on approximately 1-pc clump scales affects the accretion history on the 0.05-pc core scales at which individual stars form.\n\nThis survey targeted over 50 cold, high-mass dust clumps, making observations of the sites of all current and future Galactic high-mass star formation. Ammonia and methanol emission lines were observed, along with recombination lines and a masing water line. The data will be used to characterise the turbulent structure within the clumps and to directly measure the locations, temperatures, masses, temporal sequence, and kinematics of their individual ~0.05 pc size star-forming cores.&rft.creator=Jackson, James M. &rft.creator=Allingham, David &rft.creator=Hogge, Taylor &rft.creator=Whitaker, John Scott &rft.creator=Patterson, Philippa &rft.creator=Killerby-Smith, Nicholas &rft.creator=Askew, Jacob &rft.creator=Vandenberg, Thomas &rft.date=2023&rft.edition=v3&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2023.&rft_subject=Galactic astronomy&rft_subject=ISM&rft_subject=C3152&rft_subject=ammonia&rft_subject=methanol&rft_subject=high-mass star formation&rft_subject=Galactic astronomy&rft_subject=Astronomical sciences&rft_subject=PHYSICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

The conversion of turbulent structures within molecular clouds into high-mass stars and star clusters, the relation between Galactic and extragalactic star formation, and the effects of Galactic environment on star formation are fundamentally important, yet unsolved problems in astrophysics. The two major theories for high-mass star formation are "competitive accretion" and "turbulent core accretion" (for review see Motte et al. 2018). These theories make distinct predictions about the initial conditions within star-forming clumps, and how the gas on approximately 1-pc "clump" scales affects the accretion history on the 0.05-pc "core" scales at which individual stars form.

This survey targeted over 50 cold, high-mass dust clumps, making observations of the sites of all current and future Galactic high-mass star formation. Ammonia and methanol emission lines were observed, along with recombination lines and a masing water line. The data will be used to characterise the turbulent structure within the clumps and to directly measure the locations, temperatures, masses, temporal sequence, and kinematics of their individual ~0.05 pc size star-forming cores.

Available: 2023-08-31

Data time period: 2017-07-10 to 2020-06-21

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Identifiers
  • DOI : 10.25919/74NW-9R95
  • Local : 102.100.100/487382
  • global : ae872f34-347e-4b59-97c8-9348d106a879