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

TL;DR

This paper introduces MC-BLOS, an automated software tool that determines the line-of-sight magnetic fields in molecular clouds using Faraday rotation data, streamlining analysis for upcoming large-scale observations.

Contribution

The paper presents MC-BLOS, a novel software that automates the calculation of magnetic fields in molecular clouds from Faraday rotation measurements, improving efficiency and consistency.

Findings

Software produces magnetic field maps with uncertainties

Results are consistent with previous studies

Reduces analysis time significantly

Abstract

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.