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arXiv 2212.03032astro-ph.HEastro-ph.SR
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低质量X射线二元模拟数据发布

Low Mass X-ray Binary Simulation Data Release

Chatrik Singh Mangat, Natalia Ivanova, Kenny Van

摘要:

我们提出了DABS(数据库的吸积二进制模拟),一个开放访问的数据库建模的低质量X射线二进制(LMXB)。DABS是利用中子星和黑洞LMXB的演化轨迹创建的,跨越了一系列的初始条件,包括吸积体质量、施主质量和轨道周期。LMXB是由对流和旋转增强磁制动处方演变而来的。这个在线数据库最重要的资产是工具PEAS(用于吸积系统的祖细胞提取器)。该工具可用于预测任何用户输入的LMXB系统的祖细胞,并在传质开始前查看其属性。这种预测可以促进对所观察到的LMXB的祖细胞的初步搜索,这可以帮助简化进一步的详细分析。PEAS工具还可用于约束专门研究双星中的超新星爆发和常见包络结果的总体合成技术。

英文摘要:

We present DABS (Database of Accreting Binary Simulations), an open-access database of modelled Low Mass X-ray Binaries (LMXBs). DABS has been created using evolutionary tracks of neutron star and black hole LMXBs, spanning a large set of initial conditions for the accretor mass, donor mass, and orbital period. The LMXBs are evolved with the Convection and Rotation Boosted Magnetic Braking prescription. The most important asset of this online database is the tool PEAS (Progenitor Extractor for Accreting Systems). This tool can be used to predict the progenitors of any user-entered LMXB system and view their properties before the start of mass transfer. This prediction can facilitate preliminary searches for the progenitors of observed LMXBs, which can help in streamlining further detailed analyses. The PEAS tool can also be used to constrain population synthesis techniques that specialize in supernova kicks in binaries and common envelope outcomes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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