2017
DOI: 10.3847/1538-4357/836/1/1
|View full text |Cite
|
Sign up to set email alerts
|

Impulsively Generated Wave Trains in Coronal Structures. I. Effects of Transverse Structuring on Sausage Waves in Pressureless Tubes

Abstract: The behavior of the axial group speeds of trapped sausage modes plays an important role in determining impulsively generated wave trains, which have often been invoked to account for quasi-periodic signals with quasi-periods of order seconds in a considerable number of coronal structures. We conduct a comprehensive eigenmode analysis, both analytically and numerically, on the dispersive properties of sausage modes in pressureless tubes with three families of continuous radial density profiles. We find a rich v… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
23
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 34 publications
(25 citation statements)
references
References 66 publications
2
23
0
Order By: Relevance
“…Nakariakov et al (2004) used wavelet transforms to analyze quasi-periodic wave trains and demonstrated that their timedependent power spectrum produces a characteristic "crazy tadpole" signature. This signature was shown to be a robust feature of plane fast magnetoacoustic waveguides with different perpendicular profiles of the plasma density (Yu et al 2015(Yu et al , 2016(Yu et al , 2017, and was found to be consistent with analytical estimations (Oliver et al 2015). On the other hand, wavelet signatures of impulsively generated fast wave trains formed in cylindrical waveguides appear "head-first" (Shestov et al 2015).…”
Section: Introductionsupporting
confidence: 69%
“…Nakariakov et al (2004) used wavelet transforms to analyze quasi-periodic wave trains and demonstrated that their timedependent power spectrum produces a characteristic "crazy tadpole" signature. This signature was shown to be a robust feature of plane fast magnetoacoustic waveguides with different perpendicular profiles of the plasma density (Yu et al 2015(Yu et al , 2016(Yu et al , 2017, and was found to be consistent with analytical estimations (Oliver et al 2015). On the other hand, wavelet signatures of impulsively generated fast wave trains formed in cylindrical waveguides appear "head-first" (Shestov et al 2015).…”
Section: Introductionsupporting
confidence: 69%
“…For example, the detected characteristic timescale of about one second occurs in the dispersive formation of quasi-periodic fast magnetoacoustic wave trains (e.g., Roberts et al 1984;Nakariakov et al 2004). Theoretical modeling demonstrated that the mean period is approximately equal to the width of the fast magnetoacoustic waveguide, e.g., the minor radius of the loop or width of the current sheet (e.g., Shestov et al 2015;Yu et al 2017, for recent results). Thus, for a characteristic length scale of 1500km, which is a typical width of an EUV loop, and a typical coronal active region fast speed of 1000km s −1 , the oscillation period is about the detected values of the quasi-periods.…”
Section: Discussionmentioning
confidence: 98%
“…This dependence on the driver duration is extremely important in attempts to unlock the seismological potential of these waves. Varying other parameters such as the spatial scale of the driver, and the transverse density profile of the waveguide can have similar effects on the final wave train signature (e.g., Nakariakov et al 2005;Pascoe et al 2013Pascoe et al , 2017Yu et al 2017). Therefore an effort to clearly distinguish these factors in both theoretical and observational studies should be made.…”
Section: Discussionmentioning
confidence: 99%
“…Since then wavelet analysis has been frequently used to visualise the obtained wave train signatures in both observational and numerical studies. Further theoretical studies have focused on different perpendicular density profiles of the waveguide (e.g., Yu et al 2017;Li et al 2018b), wave train formation in current sheets (e.g., Jelínek & Karlický 2012;Mészárosová et al 2014), accounting for 2D and cylindrical effects (Pascoe et al 2013;Shestov et al 2015), amplitudes entering the non-linear regime (Pascoe et al 2017), and analytical estimations (e.g., Oliver et al 2015).…”
Section: Introductionmentioning
confidence: 99%