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arXiv 2407.13005astro-ph.GAastro-ph.IM
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MC-BLOS:分子云相关磁场视线分量的测定

MC-BLOS: Determination of the Line-of-Sight Component of Magnetic Fields Associated with Molecular Clouds

Mehrnoosh Tahani, John Ming Ngo, Jennifer Glover, Ryan Clairmont, Gabriel Munoz Zarazua, René Plume

AI总结:

针对分子云视线方向磁场观测有限的问题,本文提出MC-BLOS软件,基于法拉第旋转技术自动测定该磁场分量,显著减少分析时间,并已在已有云上验证结果一致。

摘要:

近年来,多项巡天和望远镜观测了与分子云相关的磁场在天空平面上的分量。然而,对其视线方向磁场的观测仍然有限。为解决这一问题,Tahani等人(2018)开发了一种基于法拉第旋转的技术。该技术采用ON-OFF方法来识别由云相关磁场引起的旋转测量量。即将到来的来自平方千米阵列及其先导设施的丰富法拉第旋转观测,需要经过稳健测试的软件来自动获取分子云的视线方向磁场。我们开发了名为MC-BLOS(分子云视线方向磁场)的软件,以自动化方式执行该技术。该软件的输入包括点源(河外源或脉冲星)的法拉第旋转、消光或柱密度图、化学演化代码结果,以及一个文本/CSV文件,允许用户指定云名称或与该技术相关的其他参数。对于每个云,软件会调用一组预定义的初始参数,如密度、温度和周围边界,用户可对其进行修改。随后,软件自动运行该技术,在过程结束时输出视线方向磁场图和表格(包括不确定性)。与手动方法相比,这种自动化方法显著减少了分析时间。我们已在先前发表的云上测试了该软件,结果在报告的不确定性范围内一致。该软件将有助于分析即将到来的法拉第旋转观测,从而更好地理解磁场在分子云动力学和恒星形成中的作用。

英文摘要:

In recent years a number of surveys and telescopes have observed the plane-of-sky component of magnetic fields associated with molecular clouds. However, observations of their line-of-sight magnetic field remain limited. To address this issue, Tahani et al. (2018) developed a technique based on Faraday rotation. The technique incorporates an ON-OFF approach to identify the rotation measure induced by the magnetic fields associated with the cloud. The upcoming abundance of Faraday rotation observations from the Square Kilometer Array and its pathfinders necessitates robustly-tested software to automatically obtain line-of-sight magnetic fields of molecular clouds. We developed software, called MC-BLOS (Molecular Cloud Line-of-Sight Magnetic Field), to carry out the technique in an automated manner. The software's input are Faraday rotation of point sources (extra-galactic sources or pulsars), extinction or column density maps, chemical evolution code results, and a text/CSV file, which allows the user to specify the cloud name or other parameters pertaining to the technique. For each cloud, the software invokes a set of predefined initial parameters such as density, temperature, and surrounding boundary, which the user can modify. The software then runs the technique automatically, outputting line-of-sight magnetic field maps and tables (including uncertainties) at the end of the process. This automated approach significantly reduces analysis time compared to manual methods. We have tested the software on previously-published clouds, and the results are consistent within the reported uncertainty range. This software will facilitate the analysis of forthcoming Faraday rotation observations, enabling a better understanding of the role of magnetic fields in molecular cloud dynamics and star formation.

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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