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arXiv 2112.04538astro-ph.GA
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冷岩心中的甲醇映射:测试模型预测

Methanol Mapping in Cold Cores: Testing Model Predictions

Anna Punanova, Anton Vasyunin, Paola Caselli, Alexander Howard, Silvia Spezzano, Yancy Shirley, Samantha Scibelli, Jorma Harju

摘要:

化学模型预测,在冷芯气相甲醇预计将是丰富的外边缘的CO贫化区,CO是积极吸附。CO吸附与体积密度在冷的核心,并在附近的分子云,灾难性的CO冻结出发生在体积密度超过10 $^4$ cm $^{-3}$。在那里,甲醇的生产率最大化,并且其冻结速率不会超过其生产速率,同时分子被气体和灰尘屏蔽免受紫外线破坏。因此,在冷岩心中,甲醇丰度通常应与视消光相关,视消光取决于体积和柱密度。在这项工作中,我们测试了最基本的模型预测,最大的甲醇丰度与当地的$A_V\simeq$ 4马格在致密的核心和约束模型参数的观测数据。使用IRAM 30 m天线,我们绘制了金牛座L1495灯丝中CH $_3$ OH(2-1)和(3-2)向7个致密核心的跃迁,以测量甲醇丰度。我们使用Herschel/SPIRE地图来估计视觉消光,并使用Tafalla & Hacar(2015)的C $^{18}$ O(2-1)地图来估计CO消耗。我们探讨了观察到的和模拟的甲醇丰度,CO消耗和视觉消光变化的关键模型参数之间的相关性。模拟结果表明,氢表面扩散通过隧道是至关重要的再现所观察到的甲醇丰度,和所需的反应解吸效率从实验室实验中推导出的。

英文摘要:

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, the catastrophic CO freeze-out happens at volume densities above 10$^4$ 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 that depends both on 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\simeq$4 mag in dense cores and constrain the model parameters with the observational data. With the IRAM 30 m antenna, we mapped the CH$_3$OH (2-1) and (3-2) transitions toward seven dense cores in the L1495 filament in Taurus to measure the methanol abundance. We use the Herschel/SPIRE maps to estimate visual extinction, and the C$^{18}$O(2-1) maps from Tafalla & Hacar (2015) 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 needed reactive desorption efficiency matches the one deduced from laboratory experiments.

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