Simulations and radiative diagnostics of turbulence and wave phenomena in the magnetised solar photosphere S. Shelyag Astrophysics Research Centre Queen’s.

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Simulations and radiative diagnostics of turbulence and wave phenomena in the magnetised solar photosphere S. Shelyag Astrophysics Research Centre Queen’s University, Belfast

Introduction 3D radiative MHD simulations of photosphere Radiative diagnostics and observations Acoustic properties of MBPs How do the waves look like?

Code I (MURAM) We start from realistic simulations MURAM code: non-grey radiative transport, ionisation, 3D MHD

RMHD equations

Numerical methods 4-th order central difference scheme for spatial derivatives Hyperdiffusive stabilisation terms (D) 4th order Runge-Kutta scheme for time Non-grey radiative transport (4-bin τ- sorting) Non-ideal gas equation of state (11 most abundant elements)

Initial model 12x12x1.4 Mm domain resolved by 480x480x100 grid cells. Self-consistent. Only few parameters are required: Mtot, Fsun, g, and chemical composition. Initial stratification is from Spruit model. Uniform magnetic field is introduced after convection has developed

3D geometry 12 Mm 12 Mm 1.4 Mm

Simulation 200G Continuum I Magnetic field

G-band G-band is a spectral band 429.5-431.5 nm covered by absorption lines of CH molecules G-band bright points (GBPs)

G-band diagnostics From thermodynamic and magnetic parameters in the simulation we compute this:

Why are GBPs bright?

G-band intensity

3D geometry 12 Mm 12 Mm 1.4 Mm

Vorticity Upper boundary, z=+400 km B=200G B=0

Vortex

field of view is 60" x 60", with a spatial resolution of ~0.1" ROSA instrument field of view is 60" x 60", with a spatial resolution of ~0.1" http://star.pst.qub.ac.uk/rosa If you are interested in making use of ROSA you should contact Mihalis Mathioudakis, David Jess or Gareth Dorrian for information and advice.

Gareth Dorrian will give a seminar on it

ROSA observations vs simulations

Data analysis by Philip Crockett Area DF of MBPs ROSA observation 200G simulation 100G simulation Data analysis by Philip Crockett

Acoustic properties of GBPs - Sun is not static, it makes difficult to study acoustic properties - need to construct a static model which is as close as possible to the real GBP

Average MBP Bz profile averaging Bz(z) of magnetic bright points (selected on B and G-band intensity)

Self-similar magnetic field gaussian, describes opening

Average MBP structure

G-band intensity in MBP Average, thus less bright. However, brighter than granules

Code II: waves Same equations, no RT term. It is more difficult to construct static model. All variables are split into background and perturbed components. BP model is background.

How the waves look like for me Wave pattern changes in the region where Va > Cs. Interestingly, plasma Va > Cs is below continuum formation layer

How the waves look like for observer Continuum oscillations absolute Solid lines - MBP centre relative Dashed lines - granule Due to partial evacuation of the flux tube in MBP the oscillations in continuum are more pronounced and non-linear

6302.5A FeI line is used for polarimetry simulations 6302.5A Stokes profiles 6302.5A FeI line is used for polarimetry simulations Stokes V amplitude at x=0 is lower than at x=250 km. 6302.5A FeI line is bad for strong magnetic field measurements due to saturation.

Stokes V filter amplitude Stokes V oscillations Stokes V filter amplitude Area asymmetry Oscillation amplitudes are of the order of 25% for filter and 2% for asymmetry and are certainly observable

Conclusions MHD simulations are a great thing We are able to make a “what if” case and show the observational consequences Being able to predict is important Most important: comparison of simulations with observations is only valid when it is done with properties of radiation