论文标题

低质量X射线二进制模拟数据发布

Low Mass X-ray Binary Simulation Data Release

论文作者

Mangat, Chatrik Singh, Ivanova, Natalia, Van, Kenny

论文摘要

我们提出DABS(积分二进制模拟数据库),这是一个模型的低质量X射线二进制文件(LMXB)的开放访问数据库。 DABS是使用中子星和黑洞LMXB的进化轨道创建的,涵盖了吸积质量,供体质量和轨道时期的大量初始条件。 LMXB随对流和旋转增强的磁制动处方而进化。该在线数据库的最重要资产是工具豌豆(用于吸收系统的祖先提取器)。该工具可用于预测任何用户输入的LMXB系统的祖细胞,并在开始传输之前查看其属性。该预测可以促进对观察到的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。豌豆工具也可用于限制专门从事二进制和常见包络结果超新星踢球的种群合成技术。

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.

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