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Turbulence and star formation efficiency in molecular clouds: solenoidal versus compressive motions in Orion B

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  • معلومة اضافية
    • Contributors:
      Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris; Centre National de la Recherche Scientifique (CNRS)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP); Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS); Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); Institut de RadioAstronomie Millimétrique (IRAM); Centre National de la Recherche Scientifique (CNRS); Harvard-Smithsonian Center for Astrophysics (CfA); Harvard University-Smithsonian Institution; Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC); AMOR 2017; Laboratoire d'Astrophysique de Bordeaux Pessac (LAB); Université de Bordeaux (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS); National Radio Astronomy Observatory (NRAO); School of Physics and Astronomy Cardiff; Cardiff University; Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS); Instituto de RadioAstronomía Milimétrica (IRAM); University of Exeter; Maison de la Simulation (MDLS); Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      CCSD
      EDP Sciences
    • الموضوع:
      2017
    • Collection:
      Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ
    • نبذة مختصرة :
      International audience ; The nature of turbulence in molecular clouds is one of the key parameters that control star formation efficiency: compressive motions, as opposed to solenoidal motions, can trigger the collapse of cores, or mark the expansion of Hii regions. We try to observationally derive the fractions of momentum density ($\rho v$) contained in the solenoidal and compressive modes of turbulence in the Orion B molecular cloud and relate these fractions to the star formation efficiency in the cloud. The implementation of a statistical method developed by Brunt & Federrath (2014), applied to a $^{13}$CO(J=1-0) datacube obtained with the IRAM-30m telescope, allows us to retrieve 3-dimensional quantities from the projected quantities provided by the observations, yielding an estimate of the compressive versus solenoidal ratio in various regions of the cloud. Despite the Orion B molecular cloud being highly supersonic (mean Mach number $\sim$ 6), the fractions of motion in each mode diverge significantly from equipartition. The cloud's motions are on average mostly solenoidal (excess > 8 % with respect to equipartition), which is consistent with its low star formation rate. On the other hand, the motions around the main star-forming regions (NGC 2023 and NGC 2024) prove to be strongly compressive. We have successfully applied to observational data a method that was so far only tested on simulations, and have shown that there can be a strong intra-cloud variability of the compressive and solenoidal fractions, these fractions being in turn related to the star formation efficiency. This opens a new possibility for star-formation diagnostics in galactic molecular clouds.
    • Relation:
      info:eu-repo/semantics/altIdentifier/arxiv/1701.00962; ARXIV: 1701.00962; BIBCODE: 2017A&A.599A.99O
    • الرقم المعرف:
      10.1051/0004-6361/201629220
    • الدخول الالكتروني :
      https://hal.science/hal-01434996
      https://hal.science/hal-01434996v1/document
      https://hal.science/hal-01434996v1/file/aa29220-16.pdf
      https://doi.org/10.1051/0004-6361/201629220
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.23E922DF