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https://elar.urfu.ru/handle/10995/90208
Название: | Physical properties and chemical composition of the cores in the California molecular cloud |
Авторы: | Zhang, G. -Y. Xu, J. -L. Vasyunin, A. I. Semenov, D. A. Wang, J. -J. Dib, S. Liu, T. Liu, S. -Y. Zhang, C. -P. Liu, X. -L. Wang, K. Li, D. Wu, Z. -Z. Yuan, J. -H. Li, D. -L. Gao, Y. |
Дата публикации: | 2018 |
Издатель: | EDP Sciences |
Библиографическое описание: | Physical properties and chemical composition of the cores in the California molecular cloud / G. -Y. Zhang, J. -L. Xu, A. I. Vasyunin, D. A. Semenov, et al. . — DOI 10.1051/0004-6361/201833622 // Astronomy and Astrophysics. — 2018. — Iss. 620. — A163. |
Аннотация: | Aims. We aim to reveal the physical properties and chemical composition of the cores in the California molecular cloud (CMC), so as to better understand the initial conditions of star formation. Methods. We made a high-resolution column density map (18.2′′) with Herschel data, and extracted a complete sample of the cores in the CMC with the fellwalker algorithm. We performed new single-pointing observations of molecular lines near 90 GHz with the IRAM 30m telescope along the main filament of the CMC. In addition, we also performed a numerical modeling of chemical evolution for the cores under the physical conditions. Results. We extracted 300 cores, of which 33 are protostellar and 267 are starless cores. About 51% (137 of 267) of the starless cores are prestellar cores. Three cores have the potential to evolve into high-mass stars. The prestellar core mass function (CMF) can be well fit by a log-normal form. The high-mass end of the prestellar CMF shows a power-law form with an index α = -0.9 ± 0.1 that is shallower than that of the Galactic field stellar mass function. Combining the mass transformation efficiency (ϵ) from the prestellar core to the star of 15 ± 1% and the core formation efficiency (CFE) of 5.5%, we suggest an overall star formation efficiency of about 1% in the CMC. In the single-pointing observations with the IRAM 30m telescope, we find that 6 cores show blue-skewed profile, while 4 cores show red-skewed profile. [HCO + ]/[HNC] and [HCO + ]/[N 2 H + ] in protostellar cores are higher than those in prestellar cores; this can be used as chemical clocks. The best-fit chemical age of the cores with line observations is ~5 × 10 4 yr. © ESO 2018. |
Ключевые слова: | ASTROCHEMISTRY DUST EXTINCTION ISM: ABUNDANCES ISM: MOLECULES STARS: FORMATION DUST EFFICIENCY FUNCTIONS GIANT STARS LIGHT EXTINCTION PHYSICAL PROPERTIES TELESCOPES ASTROCHEMISTRY CHEMICAL COMPOSITIONS CHEMICAL EVOLUTION ISM: ABUNDANCE ISM: MOLECULES MASS TRANSFORMATION PHYSICAL CONDITIONS STARS: FORMATION CLOUDS |
URI: | http://elar.urfu.ru/handle/10995/90208 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор РИНЦ: | 38634010 |
Идентификатор SCOPUS: | 85058839606 |
Идентификатор WOS: | 000453300100001 |
Идентификатор PURE: | 8431711 |
ISSN: | 0004-6361 |
DOI: | 10.1051/0004-6361/201833622 |
Сведения о поддержке: | Chinese Government Scholarship: 201804910583 2017YFA0402600, 2017YFA0402702 Russian Science Foundation, RSF: 18-12-00351 Deutsche Forschungsgemeinschaft, DFG: WA3628-1/1 National Basic Research Program of China (973 Program): 2015CB857101 National Natural Science Foundation of China, NSFC: 11763002, U1431111, 11721303, 11703040, 11703074 Acknowledgements. We acknowledge valuable comments from the referee. We thank Charles J. Lada for useful discussion on the manuscript. We thank A. Men’shchikov, D. S. Berry, and S. Bardeau for their technical support with Getsources, Starlink and Gildas, respectively. This work is supported by National Key R&D Program of China (No. 2017YFA0402600; 2017YFA0402702), National Key Basic Research Program of China (973 Program) (No. 2015CB857101), National Natural Science foundation of China (No. 11703040; 11703074; 11721303; 11763002; U1431111), and Chinese Government Scholarship (No. 201804910583). D.A.S. acknowledges support from the Heidelberg Institute of Theoretical Studies for the project “Chemical kinetics models and visualization tools: Bridging biology and astronomy”. A.I.V. acknowledges support by the Russian Science Foundation (No. 18-12-00351). K.W. acknowledges support by the German Research Foundation (grant WA3628-1/1). |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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10.1051-0004-6361-201833622.pdf | 3,32 MB | Adobe PDF | Просмотреть/Открыть |
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