Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation

Magnetic clouds (MCs) are highly magnetized plasma structures that have a low proton temperature and a magnetic field vector that rotates when seen by a heliospheric observer. More than 25 years of observations of magnetic and plasma properties of MCs at 1 AU have provided significant knowledge of t...

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Autores principales: Gulisano, A.M., Dasso, S., Mandrini, C.H., Démoulin, P.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_02731177_v40_n12_p1881_Gulisano
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spelling todo:paper_02731177_v40_n12_p1881_Gulisano2023-10-03T15:15:38Z Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation Gulisano, A.M. Dasso, S. Mandrini, C.H. Démoulin, P. Interplanetary space MHD and plasmas Solar wind Magnetic fields Magnetic structure Solar wind Spacecraft Trajectories Cylindrical symmetry Interplanetary space Magnetic clouds (MC) Magnetic configuration Magnetohydrodynamics Magnetic clouds (MCs) are highly magnetized plasma structures that have a low proton temperature and a magnetic field vector that rotates when seen by a heliospheric observer. More than 25 years of observations of magnetic and plasma properties of MCs at 1 AU have provided significant knowledge of their magnetic structure. However, because in situ observations only give information along the trajectory of the spacecraft, their real 3D magnetic configuration remains still partially unknown. We generate a set of synthetic clouds, exploring the space of parameters that represents the possible orientations and minimum distances of the satellite trajectory to the cloud axis, p. The synthetic clouds have a local cylindrical symmetry and a linear force-free magnetic configuration. From the analysis of synthetic clouds, we quantify the errors introduced in the determination of the orientation/size (and, consequently, of the global magnetohydrodynamic quantities) by the Minimum Variance method when p is not zero. © 2007 COSPAR. Fil:Gulisano, A.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Dasso, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mandrini, C.H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02731177_v40_n12_p1881_Gulisano
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Interplanetary space
MHD and plasmas
Solar wind
Magnetic fields
Magnetic structure
Solar wind
Spacecraft
Trajectories
Cylindrical symmetry
Interplanetary space
Magnetic clouds (MC)
Magnetic configuration
Magnetohydrodynamics
spellingShingle Interplanetary space
MHD and plasmas
Solar wind
Magnetic fields
Magnetic structure
Solar wind
Spacecraft
Trajectories
Cylindrical symmetry
Interplanetary space
Magnetic clouds (MC)
Magnetic configuration
Magnetohydrodynamics
Gulisano, A.M.
Dasso, S.
Mandrini, C.H.
Démoulin, P.
Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
topic_facet Interplanetary space
MHD and plasmas
Solar wind
Magnetic fields
Magnetic structure
Solar wind
Spacecraft
Trajectories
Cylindrical symmetry
Interplanetary space
Magnetic clouds (MC)
Magnetic configuration
Magnetohydrodynamics
description Magnetic clouds (MCs) are highly magnetized plasma structures that have a low proton temperature and a magnetic field vector that rotates when seen by a heliospheric observer. More than 25 years of observations of magnetic and plasma properties of MCs at 1 AU have provided significant knowledge of their magnetic structure. However, because in situ observations only give information along the trajectory of the spacecraft, their real 3D magnetic configuration remains still partially unknown. We generate a set of synthetic clouds, exploring the space of parameters that represents the possible orientations and minimum distances of the satellite trajectory to the cloud axis, p. The synthetic clouds have a local cylindrical symmetry and a linear force-free magnetic configuration. From the analysis of synthetic clouds, we quantify the errors introduced in the determination of the orientation/size (and, consequently, of the global magnetohydrodynamic quantities) by the Minimum Variance method when p is not zero. © 2007 COSPAR.
format JOUR
author Gulisano, A.M.
Dasso, S.
Mandrini, C.H.
Démoulin, P.
author_facet Gulisano, A.M.
Dasso, S.
Mandrini, C.H.
Démoulin, P.
author_sort Gulisano, A.M.
title Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
title_short Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
title_full Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
title_fullStr Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
title_full_unstemmed Estimation of the bias of the Minimum Variance technique in the determination of magnetic clouds global quantities and orientation
title_sort estimation of the bias of the minimum variance technique in the determination of magnetic clouds global quantities and orientation
url http://hdl.handle.net/20.500.12110/paper_02731177_v40_n12_p1881_Gulisano
work_keys_str_mv AT gulisanoam estimationofthebiasoftheminimumvariancetechniqueinthedeterminationofmagneticcloudsglobalquantitiesandorientation
AT dassos estimationofthebiasoftheminimumvariancetechniqueinthedeterminationofmagneticcloudsglobalquantitiesandorientation
AT mandrinich estimationofthebiasoftheminimumvariancetechniqueinthedeterminationofmagneticcloudsglobalquantitiesandorientation
AT demoulinp estimationofthebiasoftheminimumvariancetechniqueinthedeterminationofmagneticcloudsglobalquantitiesandorientation
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