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Quantification of segregation dynamics in ice mixtures

机译:冰混合物中偏析动力学的量化

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Context. The observed presence of pure CO2 ice in protostellar envelopes, revealed by a double peaked 15 m band, is often attributed to thermally induced ice segregation. The temperature required for segregation is however unknown because of lack of quantitative experimental data and this has prevented the use of ice segregation as a temperature probe. In addition, quantitative segregation studies are needed to characterize diffusion in ices, which underpins all ice dynamics and ice chemistry. Aims. This study aims to quantify the segregation mechanism and barriers in different H2O:CO2 and H2O:CO ice mixtures. Methods. The investigated ice mixtures cover a range of astrophysically relevant ice thicknesses and mixture ratios. The ices are deposited at 16-50K under (ultra-)high vacuum conditions. Segregation is then monitored, at 40-70K in the CO2 mixtures and at 23-27K in the CO mixtures, through infrared spectroscopy. The CO2 and CO band shapes are distinctly different in pure and mixed ices and can thus be used to measure the fraction of segregated ice as a function of time. The segregation barrier is determined using rate equations and the segregation mechanism is investigated through Monte Carlo simulations. Results. Thin (8-37ML) H2O ice mixtures, containing either CO2 or CO, segregate sequentially through surface processes, followed by an order of magnitude slower bulk diffusion. Thicker ices (>100ML) segregate through a bulk process, which is faster than even surface segregation in thin ices. The thick ices must therefore be either more porous or segregate through a different mechanism, e.g. a phase transition, compared to the thin ices. The segregation dynamics of thin ices are reproduced qualitatively in Monte Carlo simulations of surface hopping and pair swapping. The experimentally determined surface-segregation rates follow the Ahrrenius law with a barrier of K for H2O:CO2 ice mixtures and K for H2O:CO mixtures. Though the barrier is constant with ice mixing ratio, the segregation rate increases with CO2 concentration. Conclusions. Dynamical ice processes can be quantified through a combination of experiments and different model techniques and they are not scale independent as previously assumed. The derived segregation barrier for thin H2O:CO2 ice mixtures is used to estimate the surface segregation temperature during low-mass star formation to be K. Both surface and bulk segregation is proposed to be a general feature of ice mixtures when the average bond strengths of the mixture constituents in pure ice exceeds the average bond strength in the ice mixture. Key words: astrochemistry - line: formation - molecular processes - methods: laboratory - circumstellar matter - ISM: molecules
机译:上下文。双峰15 m波段揭示了在原恒星包膜中观察到的纯二氧化碳冰的存在,通常归因于热诱导的冰分离。然而,由于缺乏定量实验数据,分离所需的温度是未知的,并且这已经阻止了将冰分离用作温度探测器。另外,需要进行定量偏析研究来表征冰中的扩散,这是所有冰动力学和冰化学的基础。目的这项研究旨在量化不同H2O:CO2和H2O:CO冰混合物中的偏析机理和屏障。方法。研究的冰混合物覆盖了一系列与天体相关的冰厚度和混合比。在(超)高真空条件下,冰以16-50K沉积。然后通过红外光谱监测在CO2混合物中40-70K和CO混合物中23-27K的偏析。在纯冰和混合冰中,CO2和CO带的形状明显不同,因此可以用来测量随时间变化的分离冰的比例。使用速率方程确定隔离壁垒,并通过蒙特卡洛模拟研究隔离机理。结果。包含CO2或CO的薄(8-37ML)H2O冰混合物依次通过表面过程分离,然后缓慢扩散一个数量级。较厚的冰(> 100ML)通过散装过程分离,这比薄冰中均匀的表面分离要快。因此,厚冰必须更加多孔或通过不同的机制(例如冰层或冰层)分离。相较于薄冰,相变。在跳面和成对交换的蒙特卡洛模拟中定性地再现了稀冰的分离动力学。实验确定的表面偏析率遵循Ahrrenius律,对于H2O:CO2冰混合物,K为障碍;对于H2O:CO混合物,K为障碍。尽管障碍物随冰的混合比例而恒定,但偏析率随CO2浓度的增加而增加。结论。可以通过组合实验和不同的模型技术来量化动态冰过程,并且它们并非像以前所假定的那样与规模无关。 H2O:CO2稀薄冰混合物的推导偏析屏障用于估计低质量恒星形成过程中的表面偏析温度为K。当冰的平均结合强度为时,表面和整体偏析都被认为是冰混合物的一个普遍特征。纯冰中的混合物成分超过了冰混合物中的平均粘结强度。关键词:天化学-谱系:形成-分子过程-方法:实验室-星际物质-ISM:分子

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