Statistical tracing of magnetic fields: comparing and improving the techniques

Magnetohydrodynamic turbulence displays velocity anisotropies that reflect the direction of the magnetic field. This anisotropy has led to the development of a number of statistical techniques for studying magnetic fields in the interstellar medium. In this paper, we review and compare three techni...

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Principais autores: Martins, Bruno Leonardo Canto, Yuen, Ka Ho, Chen, Junda, Hu, Yue, Ho, Kai Wa, Lazarian, A., Lazarian, Victor, Yang, Bo, Burkhart, Blaskesley, Correia, Caio, Cho, Jungyeon, Medeiros, J. R. de
Formato: article
Idioma:English
Publicado em: IOP Publishing
Assuntos:
ISM: general
ISM: magnetic fields
ISM: structure
Magnetohydrodynamics (MHD)
Methods: numerical
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/29403
http://dx.doi.org/10.3847/1538-4357/aada88
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spelling ri-123456789-294032022-10-20T21:18:21Z Statistical tracing of magnetic fields: comparing and improving the techniques Martins, Bruno Leonardo Canto Yuen, Ka Ho Chen, Junda Hu, Yue Ho, Kai Wa Lazarian, A. Lazarian, Victor Yang, Bo Burkhart, Blaskesley Correia, Caio Cho, Jungyeon Medeiros, J. R. de ISM: general ISM: magnetic fields ISM: structure Magnetohydrodynamics (MHD) Methods: numerical Magnetohydrodynamic turbulence displays velocity anisotropies that reflect the direction of the magnetic field. This anisotropy has led to the development of a number of statistical techniques for studying magnetic fields in the interstellar medium. In this paper, we review and compare three techniques that use radio position–position–velocity data to determine magnetic field strength and morphology: the correlation function anisotropy (CFA), principal component analysis of anisotropies (PCAA), and the more recent velocity gradient technique (VGT). We compare these three techniques and suggest improvements to the CFA and PCAA techniques to increase their accuracy and versatility. In particular, we suggest and successfully implement a much faster way to calculate nonperiodic correlation functions for the CFA. We discuss possible improvements to the current implementation of the PCAA. We show the advantages of the VGT in terms of magnetic field tracing and stress the complementary nature with the other two techniques. 2020-07-02T20:42:46Z 2020-07-02T20:42:46Z 2018-09-20 article MARTINS, Bruno Leonardo Canto; MEDEIROS, Jose Renan de; YUEN, Ka Ho; CHEN, Junda; HU, Yue; HO, Ka Wai; LAZARIAN, A.; LAZARIAN, Victor; YANG, Bo; BURKHART, Blakesley; CORREIA, Caio; CHO, Jungyeon. Statistical Tracing of Magnetic Fields: comparing and improving the techniques. The Astrophysical Journal, [s.l.], v. 865, n. 1, p. 54-69, 20 set. 2018. Disponível em: https://iopscience.iop.org/article/10.3847/1538-4357/aada88. Acesso em: 02 jul. 2020. http://dx.doi.org/10.3847/1538-4357/aada88. 0004-637X (print), 1538-4357 (online) https://repositorio.ufrn.br/jspui/handle/123456789/29403 http://dx.doi.org/10.3847/1538-4357/aada88 en IOP Publishing
institution Repositório Institucional
collection RI - UFRN
language English
topic ISM: general
ISM: magnetic fields
ISM: structure
Magnetohydrodynamics (MHD)
Methods: numerical
spellingShingle ISM: general
ISM: magnetic fields
ISM: structure
Magnetohydrodynamics (MHD)
Methods: numerical
Martins, Bruno Leonardo Canto
Yuen, Ka Ho
Chen, Junda
Hu, Yue
Ho, Kai Wa
Lazarian, A.
Lazarian, Victor
Yang, Bo
Burkhart, Blaskesley
Correia, Caio
Cho, Jungyeon
Medeiros, J. R. de
Statistical tracing of magnetic fields: comparing and improving the techniques
description Magnetohydrodynamic turbulence displays velocity anisotropies that reflect the direction of the magnetic field. This anisotropy has led to the development of a number of statistical techniques for studying magnetic fields in the interstellar medium. In this paper, we review and compare three techniques that use radio position–position–velocity data to determine magnetic field strength and morphology: the correlation function anisotropy (CFA), principal component analysis of anisotropies (PCAA), and the more recent velocity gradient technique (VGT). We compare these three techniques and suggest improvements to the CFA and PCAA techniques to increase their accuracy and versatility. In particular, we suggest and successfully implement a much faster way to calculate nonperiodic correlation functions for the CFA. We discuss possible improvements to the current implementation of the PCAA. We show the advantages of the VGT in terms of magnetic field tracing and stress the complementary nature with the other two techniques.
format article
author Martins, Bruno Leonardo Canto
Yuen, Ka Ho
Chen, Junda
Hu, Yue
Ho, Kai Wa
Lazarian, A.
Lazarian, Victor
Yang, Bo
Burkhart, Blaskesley
Correia, Caio
Cho, Jungyeon
Medeiros, J. R. de
author_facet Martins, Bruno Leonardo Canto
Yuen, Ka Ho
Chen, Junda
Hu, Yue
Ho, Kai Wa
Lazarian, A.
Lazarian, Victor
Yang, Bo
Burkhart, Blaskesley
Correia, Caio
Cho, Jungyeon
Medeiros, J. R. de
author_sort Martins, Bruno Leonardo Canto
title Statistical tracing of magnetic fields: comparing and improving the techniques
title_short Statistical tracing of magnetic fields: comparing and improving the techniques
title_full Statistical tracing of magnetic fields: comparing and improving the techniques
title_fullStr Statistical tracing of magnetic fields: comparing and improving the techniques
title_full_unstemmed Statistical tracing of magnetic fields: comparing and improving the techniques
title_sort statistical tracing of magnetic fields: comparing and improving the techniques
publisher IOP Publishing
publishDate 2020
url https://repositorio.ufrn.br/jspui/handle/123456789/29403
http://dx.doi.org/10.3847/1538-4357/aada88
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