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Methanol Mapping in Cold Cores: Testing Model Predictions*

Тип публикацииJournal Article
Дата публикации2022-03-01
scimago Q1
wos Q1
БС1
SJR2.038
CiteScore8.4
Impact factor5.4
ISSN0004637X, 15384357
Space and Planetary Science
Astronomy and Astrophysics
Краткое описание

Chemical models predict that in cold cores gas-phase methanol is expected to be abundant at the outer edge of the CO depletion zone, where CO is actively adsorbed. CO adsorption correlates with volume density in cold cores, and, in nearby molecular clouds, catastrophic CO freeze-out happens at volume densities above 104 cm−3. The methanol production rate is maximized there and its freeze-out rate does not overcome its production rate, while the molecules are shielded from UV destruction by gas and dust. Thus, in cold cores, methanol abundance should generally correlate with visual extinction, which depends on both volume and column density. In this work, we test the most basic model prediction that maximum methanol abundance is associated with a local A V ∼ 4 mag in dense cores and constrain the model parameters with the observational data. With the IRAM 30 m antenna, we mapped the CH3OH (2–1) and (3–2) transitions toward seven dense cores in the L1495 filament in Taurus to measure the methanol abundance. We use the Herschel/SPIRE maps to estimate visual extinction, and the C18O(2–1) maps from Tafalla & Hacar to estimate CO depletion. We explored the observed and modeled correlations between the methanol abundances, CO depletion, and visual extinction, varying the key model parameters. The modeling results show that hydrogen surface diffusion via tunneling is crucial to reproduce the observed methanol abundances, and the necessary reactive desorption efficiency matches the one deduced from laboratory experiments.

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ГОСТ |
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Punanova A. et al. Methanol Mapping in Cold Cores: Testing Model Predictions* // Astrophysical Journal. 2022. Vol. 927. No. 2. p. 213.
ГОСТ со всеми авторами (до 50) Скопировать
Punanova A., Vasyunin A. I., Caselli P., Howard A., Spezzano S., Shirley Y., Scibelli S., Harju J. Methanol Mapping in Cold Cores: Testing Model Predictions* // Astrophysical Journal. 2022. Vol. 927. No. 2. p. 213.
RIS |
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TY - JOUR
DO - 10.3847/1538-4357/ac4e7d
UR - https://iopscience.iop.org/article/10.3847/1538-4357/ac4e7d
TI - Methanol Mapping in Cold Cores: Testing Model Predictions*
T2 - Astrophysical Journal
AU - Punanova, Anna
AU - Vasyunin, Anton I.
AU - Caselli, Paola
AU - Howard, Alexander
AU - Spezzano, Silvia
AU - Shirley, Yancy
AU - Scibelli, Samantha
AU - Harju, Jorma
PY - 2022
DA - 2022/03/01
PB - American Astronomical Society
SP - 213
IS - 2
VL - 927
SN - 0004-637X
SN - 1538-4357
ER -
BibTex |
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@article{2022_Punanova,
author = {Anna Punanova and Anton I. Vasyunin and Paola Caselli and Alexander Howard and Silvia Spezzano and Yancy Shirley and Samantha Scibelli and Jorma Harju},
title = {Methanol Mapping in Cold Cores: Testing Model Predictions*},
journal = {Astrophysical Journal},
year = {2022},
volume = {927},
publisher = {American Astronomical Society},
month = {mar},
url = {https://iopscience.iop.org/article/10.3847/1538-4357/ac4e7d},
number = {2},
pages = {213},
doi = {10.3847/1538-4357/ac4e7d}
}
MLA
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Punanova, Anna, et al. “Methanol Mapping in Cold Cores: Testing Model Predictions*.” Astrophysical Journal, vol. 927, no. 2, Mar. 2022, p. 213. https://iopscience.iop.org/article/10.3847/1538-4357/ac4e7d.