vaibhav pant cmpa, ku leuven · vaibhav pant cmpa, ku leuven in collaboration with tom van...
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![Page 1: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/1.jpg)
Vaibhav PantCmPA, KU Leuven
in collaboration withTom Van Doorsselaere, Norbert Magyar and Richard Morton
MHD simulations and forward modeling of Alfvénic waves in coronal holes
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Hassler et al, 1990
Observations were made by EUV spectrometer in Mg X
spectral lines
Banerjee et al, 1998, Doyle et al, 1997, 1998
Observations were made using Si VIII spectra.
The spectra were obtained with SUMER
onboard SOHO
Introduction
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Signatures of Alfvén(ic) waves in the solar corona
Hassler et al, 1990
Observations were made by EUV spectrometer in Mg X
spectral lines
Banerjee et al, 1998, Doyle et al, 1997, 1998
Observations were made using Si VIII spectra.
The spectra were obtained with SUMER
onboard SOHO
Introduction
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Kink (Alfvénic) waves in the solar corona
Tomczyk et al, 2007RMS Doppler velocities ~ 0.3 km/s Phase speeds 2 Mm/s
Energy flux ~ 0.01 W/m2 non-thermal line width = 30 km/s
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Kink (Alfvénic) waves in the solar corona
Tomczyk et al, 2007RMS Doppler velocities ~ 0.3 km/s Phase speeds 2 Mm/s
Energy flux ~ 0.01 W/m2 non-thermal line width = 30 km/s
![Page 6: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/6.jpg)
Kink (Alfvénic) waves in the solar corona
Tomczyk et al, 2007RMS Doppler velocities ~ 0.3 km/s Phase speeds 2 Mm/s
Energy flux ~ 0.01 W/m2 non-thermal line width = 30 km/s
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4-10 kW/m2 (SOT)
100 W/m2 (SDO/AIA)
0.01 W/m2 (COMP)
De Pontieu et al, 2007
McIntosh et al, 2011
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4-10 kW/m2 (SOT)
100 W/m2 (SDO/AIA)
Underestimation of the observed energies due to line-of-sight integration (De Moortel & Pascoe, 2012)
0.01 W/m2 (COMP)
De Pontieu et al, 2007
McIntosh et al, 2011
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Variation of Doppler velocities with non-thermal line widths
McIntosh & De Pontieu 2012
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Monte Carlo method to forward model Alfvénic waves
Solar corona consists of several swaying threads or “elementary oscillating structure”
Observer• Lifetime of thread ~
100+/- 20 sec• Uniform brightness• Randomly chosen
period , amplitude • Polarisation angle ~
0-360 degrees
Final spectrum is the sum of the spectrum of individual swaying threads
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Monte Carlo method to forward model Alfvénic waves
Solar corona consists of several swaying threads or “elementary oscillating structure”
Observer• Lifetime of thread ~
100+/- 20 sec• Uniform brightness• Randomly chosen
period , amplitude • Polarisation angle ~
0-360 degrees
Final spectrum is the sum of the spectrum of individual swaying threads
![Page 12: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/12.jpg)
Propagating waves in the gravitationally stratified plasma
( 10^
15)
g 3D ideal MHD simulations in cartesian geometry
Pant et al, 2019
• Gravitationally stratified • Transversely inhomogeneous • B = 5 G • 50 Mm X 5 Mm X 5 Mm
g
Pant et al, 2019
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Propagating waves in the gravitationally stratified plasma
( 10^
15)
g 3D ideal MHD simulations in cartesian geometry
Pant et al, 2019
Performed Ideal MHD simulations
• Gravitationally stratified • Transversely inhomogeneous • B = 5 G • 50 Mm X 5 Mm X 5 Mm
g
Pant et al, 2019
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• Multiple periodic drivers of varying amplitude
• Velocity drivers in perpendicular directions to the background magnetic field
vrms =
Morton et al, 2015
7 km/s, 15 km/s and 26 km/s
Wave excitation at the bottom boundary
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X
Z
Y
Generation of (uni)turbulence
Turbulence is generated by
unidirectionally propagating waves
(Magyar, 2017 & 2019)
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X
Z
Y
Generation of (uni)turbulence
Turbulence is generated by
unidirectionally propagating waves
(Magyar, 2017 & 2019)
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Forward modeling with FoMo for Fe XIII (10749 A)
Twelve different line-of-sights perpendicular to background magnetic field are chosen for the analysis
0
30
45
6090120
135
150
180
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Application fo FoMo for Fe XIII (10749 A)
LOS = 0 degree vrms=15 km/s
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Application fo FoMo for Fe XIII (10749 A)
LOS = 0 degree vrms=15 km/s
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Choosing random segments
10 15 25 30 0 20 5
Observer
We chose 100 random segments and add their emission spectra
If n is large, allowed values of t0,j will be less If n is less, allowed values of t0,j will be large but averaging due to superposition
will be less
Different colors represent different LOSRandom starting time
Different polarisationsRandom starting phase of oscillations
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Wedge-shape correlation
spatial resolution = 10 km
• Doppler velocities are high
• Line widths are large
• Range of line widths is small
vrms=15 km/s
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Wedge-shape correlation
spatial resolution = 10 km
• Doppler velocities are high
• Line widths are large
• Range of line widths is small
vrms=15 km/s
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Pant et al, 2019
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True wave amplitudes are hidden in the non-
thermal line widths
Pant et al, 2019
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Variation of line widths with height
Pant et al, 2019
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Variation of line widths with height
Pant et al, 2019
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Variation of line widths with height
Pant et al, 2019
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Energy estimates
MHD simulation Forward modelling
Energy flux ρvrms2vA
14 W/m^2 51 W/m^2 213 W/m^2
0.04 W/m^2 0.21 W/m^2 1.08 W/m^2
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Energy estimates
MHD simulation Forward modelling
Energy flux ρvrms2vA
14 W/m^2 51 W/m^2 213 W/m^2
0.04 W/m^2 0.21 W/m^2 1.08 W/m^2
• Uniturbulence model can explain the energy discrepancy of 2-3 orders of magnitude observed in the CoMP
• CoMP suffers from coarse spatial resolution and LOS integration thus energy estimated from the Doppler velocity measurements is underestimated
![Page 32: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/32.jpg)
Energy estimates
MHD simulation Forward modelling
Energy flux ρvrms2vA
14 W/m^2 51 W/m^2 213 W/m^2
0.04 W/m^2 0.21 W/m^2 1.08 W/m^2
• Uniturbulence model can explain the energy discrepancy of 2-3 orders of magnitude observed in the CoMP
• CoMP suffers from coarse spatial resolution and LOS integration thus energy estimated from the Doppler velocity measurements is underestimated
In optically thin plasma, LOS superposition affects the observed wave amplitudes
![Page 33: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/33.jpg)
Energy estimates
MHD simulation Forward modelling
Energy flux ρvrms2vA
14 W/m^2 51 W/m^2 213 W/m^2
0.04 W/m^2 0.21 W/m^2 1.08 W/m^2
• Uniturbulence model can explain the energy discrepancy of 2-3 orders of magnitude observed in the CoMP
• CoMP suffers from coarse spatial resolution and LOS integration thus energy estimated from the Doppler velocity measurements is underestimated
In optically thin plasma, LOS superposition affects the observed wave amplitudes
True wave amplitudes are hidden in the non-thermal line widths
![Page 34: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/34.jpg)
v0
\
Relation between non thermal line width and rms velocity
𝜎nt ~ √2 vrms
𝜎nt ~ vrms
vrms=11 km/s
𝚹
LOS
𝜎nt =12 km/s
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Alfvénic waves are excited at the bottom boundaryTemperature is kept constant around 1.2 MK
Transversely homogeneous MHD simulationsVe
loci
ty (k
m/s
)
Nonthermal line width is equal to the rms wave velocity for linearly polarised, circularly polarised Alfvén(ic) waves
single driver Multiple drivers
along the direction of the polarisation𝜎nt ~ √2 vrms
𝜎nt ~ vrms
𝜎nt ~ vrms
E = ρvrms2vA = ρ𝜎nt2vA
E = ρvrms2vA = ρ𝜎nt2vA/2
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Transversely inhomogeneous simulations
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Asymmetric line profile at a specific instant due to the choice of random segments
+ turbulence
large non-thermal line widths
For large wave amplitudes —> 𝜎nt > vrms
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Propagating spectral line asymmetry
km/s
R-B
/I
Asymmetry peak velocity of second component
vrms=26 km/s
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Propagating spectral line asymmetry
km/s
R-B
/I
Asymmetry peak velocity of second component
vrms=26 km/s
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Conclusions
• Investigated the variation of Doppler velocities with non-thermal line width in gravitationally stratified plasma
• Our model could reproduce wedge-shape correlation between line widths and Doppler velocities
• Our model could generate large non-thermal line widths as observed in the COMP data, without adding any artificial non-thermal line widths
• Using uniturbulence model we can explain the energy discrepancy of 2-3 orders of magnitude
• CoMP suffers from coarse spatial resolution and LOS integration thus energy estimated from the Doppler velocity measurements is underestimated
• Nonthermal line widths are equal to rms wave velocity when waves of different polarisations and phases are assumed to occur along the LOS
• Large amplitudes of the Alfvén(ic) waves can generate asymmetries in the observed spectrum
To be tested for closed magnetic field regions
![Page 41: Vaibhav Pant CmPA, KU Leuven · Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of](https://reader036.vdocuments.site/reader036/viewer/2022081614/5fd09f83e1b50d0f1f61ebad/html5/thumbnails/41.jpg)
Conclusions
• Investigated the variation of Doppler velocities with non-thermal line width in gravitationally stratified plasma
• Our model could reproduce wedge-shape correlation between line widths and Doppler velocities
• Our model could generate large non-thermal line widths as observed in the COMP data, without adding any artificial non-thermal line widths
• Using uniturbulence model we can explain the energy discrepancy of 2-3 orders of magnitude
• CoMP suffers from coarse spatial resolution and LOS integration thus energy estimated from the Doppler velocity measurements is underestimated
• Nonthermal line widths are equal to rms wave velocity when waves of different polarisations and phases are assumed to occur along the LOS
• Large amplitudes of the Alfvén(ic) waves can generate asymmetries in the observed spectrum
Thank you
To be tested for closed magnetic field regions