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Consistent dust and gas models for protoplanetary disks - II. Chemical networks and rates

机译:用于原型磁盘的一致灰尘和气体模型 - II。化学网络和利率

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Aims. We aim to define a small and large chemical network which can be used for the quantitative simultaneous analysis of molecular emission from the near-IR to the submm. We also aim to revise reactions of excited molecular hydrogen, which are not included in UMIST, to provide a homogeneous database for future applications. Methods. We have used the thermo-chemical disk modeling code ProDiMo and a standard T?Tauri disk model to evaluate the impact of various chemical networks, reaction rate databases and sets of adsorption energies on a large sample of chemical species and emerging line fluxes from the near-IR to the submm wavelength range. Results. We find large differences in the masses and radial distribution of ice reservoirs when considering freeze-out on bare or polar ice coated grains. Most strongly the ammonia ice mass and the location of the snow line (water) change. As a consequence molecules associated to the ice lines such as N _(2) H ~(+) change their emitting region; none of the line fluxes in the sample considered here changes by more than 25% except CO isotopologues, CN and N _(2) H ~(+) lines. The three-body reaction N+H _(2) +M plays a key role in the formation of water in the outer disk. Besides that, differences between the UMIST 2006 and 2012 database change line fluxes in the sample considered here by less than a factor of two (a subset of low excitation CO and fine structure lines stays even within 25%); exceptions are OH, CN, HCN, HCO ~(+) and N _(2) H ~(+) lines. However, different networks such as OSU and KIDA 2011 lead to pronounced differences in the chemistry inside 100 au and thus affect emission lines from high excitation CO, OH and CN lines. H _(2) is easily excited at the disk surface and state-to-state reactions enhance the abundance of CH ~(+) and to a lesser extent HCO ~(+) . For sub-mm lines of HCN, N _(2) H ~(+) and HCO ~(+) , a more complex larger network is recommended. Conclusions. More work is required to consolidate data on key reactions leading to the formation of water, molecular ions such as HCO ~(+) and N _(2) H ~(+) as well as the nitrogen chemistry. This affects many of the key lines used in the interpretation of disk observations. Differential analysis of various disk models using the same chemical input data will be more robust than the interpretation of absolute fluxes.
机译:目标。我们的目的是定义一个小型和大型化学网络,可用于定量同时分析来自近红外的分子发射到提交组。我们还旨在修改兴奋的分子氢的反应,这些分子氢不包括在Umist中,为未来的应用提供均匀的数据库。方法。我们使用了热化学磁盘建模代码产品和标准T?TAURI磁盘模型来评估各种化学网络,反应速率数据库和吸附能量的影响,在近近的大量化学品样和新兴线通量-IR到子管波长范围。结果。在裸露或极性冰涂层晶粒上冻结时,我们发现块储存的群众和径向分布的巨大差异。最强烈的氨冰块和雪线(水)变化的位置。作为与冰线相关的后果分子,例如N _(2)H〜(+)改变它们的发光区域;除Co同位素组,CN和N _(2)H〜(+)线外,均未考虑样品中的样品中的线通量超过25%。三体反应n + h _(2)+ m在外盘的形成中起关键作用。此外,UMICT 2006和2012年数据库之间的差异在这里考虑的样品中的差异小于两倍(低励磁CO和精细结构线的子集即使在25%以内);例外是OH,CN,HCN,HCO〜(+)和N _(2)H〜(+)行。然而,不同的网络如OSU和Kida 2011导致100 Au内部化学的差异,从而影响来自高励磁CO,OH和CN线的排放线。 H _(2)在盘表面和状态反应中容易振奋,增强了CH〜(+)的丰度,并在较小程度的HCO〜(+)。对于HCN的亚MM线,N _(2)H〜(+)和HCO〜(+),建议更复杂的较大网络。结论。需要更多的工作来巩固关于形成水的关键反应的数据,以形成水,分子离子,如HCO〜(+)和N _(2)H〜(+)以及氮化学。这会影响用于解释磁盘观测的许多关键线。使用相同的化学输入数据的各种磁盘模型的差异分析比绝对助焊剂的解释更加坚固。

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