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Vaibhav Pant CmPA, KU Leuven in collaboration with Tom Van Doorsselaere, Norbert Magyar and Richard Morton MHD simulations and forward modeling of Alfvénic waves in coronal holes

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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

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

Page 2: 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

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

Page 3: 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

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

Page 4: 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

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 5: 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

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

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 7: 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

4-10 kW/m2 (SOT)

100 W/m2 (SDO/AIA)

0.01 W/m2 (COMP)

De Pontieu et al, 2007

McIntosh et al, 2011

Page 8: 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

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

Page 9: 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

Variation of Doppler velocities with non-thermal line widths

McIntosh & De Pontieu 2012

Page 10: 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

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 11: 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

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

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

Page 13: 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

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

Page 14: 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

• 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

Page 15: 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

X

Z

Y

Generation of (uni)turbulence

Turbulence is generated by

unidirectionally propagating waves

(Magyar, 2017 & 2019)

Page 16: 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

X

Z

Y

Generation of (uni)turbulence

Turbulence is generated by

unidirectionally propagating waves

(Magyar, 2017 & 2019)

Page 17: 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

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

Page 18: 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

Application fo FoMo for Fe XIII (10749 A)

LOS = 0 degree vrms=15 km/s

Page 19: 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

Application fo FoMo for Fe XIII (10749 A)

LOS = 0 degree vrms=15 km/s

Page 20: 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

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

Page 21: 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
Page 22: 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
Page 23: 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

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

Page 24: 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

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

Page 25: 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

Pant et al, 2019

Page 26: 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

True wave amplitudes are hidden in the non-

thermal line widths

Pant et al, 2019

Page 27: 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

Variation of line widths with height

Pant et al, 2019

Page 28: 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

Variation of line widths with height

Pant et al, 2019

Page 29: 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

Variation of line widths with height

Pant et al, 2019

Page 30: 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

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

Page 31: 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

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

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

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

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

Page 35: 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

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

Page 36: 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

Transversely inhomogeneous simulations

Page 37: 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

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

Page 38: 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

Propagating spectral line asymmetry

km/s

R-B

/I

Asymmetry peak velocity of second component

vrms=26 km/s

Page 39: 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

Propagating spectral line asymmetry

km/s

R-B

/I

Asymmetry peak velocity of second component

vrms=26 km/s

Page 40: 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

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

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