Helioseismic data from Emerging Flux & proto Active Region Simulations

Slides:



Advertisements
Similar presentations
Numerical Simulations of Supergranulation and Solar Oscillations Åke Nordlund Niels Bohr Institute, Univ. of Copenhagen with Bob Stein (MSU) David Benson,
Advertisements

Chapter 8 The Sun – Our Star.
Helioseismic data from Emerging Flux & proto Active Region Simulations Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U. Å. Nordlund – Niels Bohr.
The Sun’s Dynamic Atmosphere Lecture 15. Guiding Questions 1.What is the temperature and density structure of the Sun’s atmosphere? Does the atmosphere.
Emerging Flux Simulations Bob Stein A.Lagerfjard Å. Nordlund D. Benson D. Georgobiani 1.
Åke Nordlund & Anders Lagerfjärd Niels Bohr Institute, Copenhagen Bob Stein Dept. of Physics & Astronomy, MSU, East Lansing.
Simulation of Flux Emergence from the Convection Zone Fang Fang 1, Ward Manchester IV 1, William Abbett 2 and Bart van der Holst 1 1 Department of Atmospheric,
Chip Manchester 1, Fang Fang 1, Bart van der Holst 1, Bill Abbett 2 (1)University of Michigan (2)University of California Berkeley Study of Flux Emergence:
Initial Analysis of the Large-Scale Stein-Nordlund Simulations Dali Georgobiani Formerly at: Center for Turbulence Research Stanford University/ NASA Presenting.
Solar Convection: What it is & How to Calculate it. Bob Stein.
Solar Convection Simulations Bob Stein David Benson.
Supergranulation-Scale Solar Convection Simulations David Benson, Michigan State University, USA Robert Stein, Michigan State University, USA Aake Nordlund,
TIME-DISTANCE ANALYSIS OF REALISTIC SIMULATIONS OF SOLAR CONVECTION Dali Georgobiani, Junwei Zhao 1, David Benson 2, Robert Stein 2, Alexander Kosovichev.
Solar Turbulence Friedrich Busse Dali Georgobiani Nagi Mansour Mark Miesch Aake Nordlund Mike Rogers Robert Stein Alan Wray.
HMI – Synoptic Data Sets HMI Team Meeting Jan. 26, 2005 Stanford, CA.
Data for Helioseismology Testing: Large-Scale Stein-Nordlund Simulations Dali Georgobiani Michigan State University Presenting the results of Bob Stein.
Convection Simulations Robert Stein Ake Nordlund Dali Georgobiani David Benson Werner Schafenberger.
Supergranulation Scale Solar Surface Convection Simulations Dali Georgobiani Michigan State University Presenting the results of Bob Stein (MSU) & Åke.
Solar Magneto-Convection: Structure & Dynamics Robert Stein - Mich. State Univ. Aake Nordlund - NBIfAFG.
Excitation of Oscillations in the Sun and Stars Bob Stein - MSU Dali Georgobiani - MSU Regner Trampedach - MSU Martin Asplund - ANU Hans-Gunther Ludwig.
Super-granulation Scale Convection Simulations Robert Stein, David Benson - Mich. State Univ. Aake Nordlund - Niels Bohr Institute.
Stokes profiles Swedish 1m Solar Telescope, perfect seeing.
Supergranulation-Scale Simulations of Solar Convection Robert Stein, Michigan State University, USA Aake Nordlund, Astronomical Observatory, NBIfAFG, Denmark.
Summary of workshop on AR May One of the MURI candidate active regions selected for detailed study and modeling.
SSL (UC Berkeley): Prospective Codes to Transfer to the CCMC Developers: W.P. Abbett, D.J. Bercik, G.H. Fisher, B.T. Welsch, and Y. Fan (HAO/NCAR)
Data for Helioseismology Testing Dali Georgobiani Michigan State University Presenting the results of Bob Stein (MSU) & Åke Nordlund (NBI, Denmark) with.
Flows in Active Regions Inferred from the Time-distance and the DAVE4VM.
Solar Surface Dynamics convection & waves Bob Stein - MSU Dali Georgobiani - MSU Dave Bercik - MSU Regner Trampedach - MSU Aake Nordlund - Copenhagen Mats.
ob/data.html 1. Emerging Flux Simulations & proto Active Regions Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U.
Free Magnetic Energy in Solar Active Regions above the Minimum-Energy Relaxed State (Regnier, S., Priest, E.R ApJ) Use magnetic field extrapolations.
Simulating Solar Convection Bob Stein - MSU David Benson - MSU Aake Nordlund - Copenhagen Univ. Mats Carlsson - Oslo Univ. Simulated Emergent Intensity.
New Coupled Models of Emerging Magnetic Flux in Active Regions W. P. Abbett, S. A. Ledvina, and G.H. Fisher.
Interesting News… Regulus Age: a few hundred million years Mass: 3.5 solar masses Rotation Period:
1 Hinode Monthly Highlights – Slow Solar Wind Sources Derived from recent publication from the Hinode/EIS team through the Naval Research Laboratory EIS.
Modeling and Data Analysis Associated With Supergranulation Walter Allen.
Solar Rotation Lab 3. Differential Rotation The sun lacks a fixed rotation rate Since it is composed of a gaseous plasma, the rate of rotation is fastest.
Review of Lecture 4 Forms of the radiative transfer equation Conditions of radiative equilibrium Gray atmospheres –Eddington Approximation Limb darkening.
Energy Transport and Structure of the Solar Convection Zone James Armstrong University of Hawai’i Manoa 5/25/2004 Ph.D. Oral Examination.
The Dynamic Evolution of Twisted Omega-loops in a 3D Convective Flow W.P. Abbett 1, Y. Fan 2, & G. H. Fisher 1 W.P. Abbett 1, Y. Fan 2, & G. H. Fisher.
Small scale magnetic energy release driven by supergranular flows Hugh Potts, Joe Khan and Declan Diver How to automatically detect and analyse supergranular.
Decay of a simulated bipolar field in the solar surface layers Alexander Vögler Robert H. Cameron Christoph U. Keller Manfred Schüssler Max-Planck-Institute.
1. active prominences - solar prominences that change in a matter of hours.
Moving dipolar features in an emerging flux region P.N. Bernasconi et al. 2002, Sol. Phys., 209, 119 Junko Kiyohara 2003 Dec 22.
Magneto-Hydrodynamic Equations Mass conservation /t = − ∇ · (u) Momentum conservation (u)/t =− ∇ ·(uu)− ∇ −g+J×B−2Ω×u− ∇ · visc Energy conservation /t.
Model Task 5: Implementing the 2D model ATM 562 Fall 2015 Fovell (see updated course notes, Chapter 13) 1.
Photospheric MHD simulation of solar pores Robert Cameron Alexander Vögler Vasily Zakharov Manfred Schüssler Max-Planck-Institut für Sonnensystemforschung.
Karen Meyer University of St Andrews Scotland 1 st year PhD student (3 months in)
Acoustic wave propagation in the solar subphotosphere S. Shelyag, R. Erdélyi, M.J. Thompson Solar Physics and upper Atmosphere Research Group, Department.
Emerging Flux Simulations & proto Active Regions Bob Stein – Michigan State U. A.Lagerfjärd – Copenhagen U. Å. Nordlund – Niels Bohr Inst. D. Georgobiani.
Emerging Flux Simulations & semi-Sunspots Bob Stein A.Lagerfjärd Å. Nordlund D. Georgobiani 1.
Physics 681: Solar Physics and Instrumentation – Lecture 22 Carsten Denker NJIT Physics Department Center for Solar–Terrestrial Research.
Moving Magnetic Features (MMFs) Jun Zhang National Astronomical Observatories Chinese Academy of Sciences Collaborators: Sami Solanki and Jingxiu Wang.
May 23, 2006SINS meeting Structure Formation and Particle Mixing in a Shear Flow Boundary Layer Matthew Palotti University of Wisconsin.
Photospheric Flows and Structures Mark Rast Laboratory for Atmospheric and Space Physics Department of Astrophysical and Planetary Sciences University.
What we can learn from active region flux emergence David Alexander Rice University Collaborators: Lirong Tian (Rice) Yuhong Fan (HAO)
Solar Convection Simulations Robert Stein, David Benson - Mich. State Univ. Aake Nordlund - Niels Bohr Institute.
Simulated Solar Plages Robert Stein, David Benson - Mich. State Univ. USA Mats Carlsson - University of Oslo, NO Bart De Pontieu - Lockheed Martin Solar.
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
THE DYNAMIC EVOLUTION OF TWISTED MAGNETIC FLUX TUBES IN A THREE-DIMENSIONALCONVECTING FLOW. II. TURBULENT PUMPING AND THE COHESION OF Ω-LOOPS.
Radiative Transfer in 3D Numerical Simulations Robert Stein Department of Physics and Astronomy Michigan State University Åke Nordlund Niels Bohr Institute.
Numerical Simulations of Solar Magneto-Convection
Solar Surface Magneto-Convection and Dynamo Action
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
Wave heating of the partially-ionised solar atmosphere
Sun Notes.
On the nature of moving magnetic feature pairs around sunspots
The Sun.
The sun gives off tremendous amounts of energy
Volume 107, Issue 11, Pages (December 2014)
Supergranule Scale Convection Simulations
Presentation transcript:

Helioseismic data from Emerging Flux & proto Active Region Simulations Bob Stein – Michigan State U. Lagerfjärd – Copenhagen U. Å. Nordlund – Niels Bohr Inst. D. Georgobiani – Michigan State U.

Data http://steinr.pa.msu.edu/~bob/data.html next slide has image of the page. This page contains links to all the data

The computational domain is 48 Mm wide and extends from the temperature minimum 0.5 Mm above <tau>=1 down to 20 Mm below. Spatial derivatives are calculated by 6th order finite differences. Time advance is by 3rd order Runge-Kutta. Variables are staggered in space, with scalars density and energy at cell centers, vectors momenta and magnetic field at cell faces. Horizontal boundaries are periodic. The top and bottom boundaries specified by loading ghost zones and are open to fluid motions. All variables, except for the magnetic field, are extrapolated in outflows. At the top the log of the density is extrapolated everywhere, the energy per unit mass is forced to a constant value and the velocities are constant in the ghost layers at their boundary value. At the bottom the velocity tends toward vertical, and the density and energy are specified in inflows to keep the entropy of incoming material constant. The magnetic field is made to tend toward a potential field at the top and at the bottom its value is specified in inflows and extrapolated in outflows.

The simulation was started from a snapshot of hydrodynamic convection that had relaxed both thermally and dynamically. Uniform, untwisted, horizontal field at an angle of 30o to the x-axis was advected by inflows into the computational domain from the bottom. The field strength everywhere was slowly increased (with e-folding time of 5 hours). When the magnitude of the horizontal field in the inflows at the bottom reached 1, 5 and 10 kG, branches were started with the boundary field kept constant at those values and the interior evolved freely. Two branches are being actively followed – 1 and 5 kG. The 5 kG run has spontaneously formed a pore. The pore formed at 19.98 hours and has been growing is size since (now 6 hours later). The 1 kG case has not formed any pores yet. Main trunk: Bbottom increasing 200G -> 10 kG, e-folding time 5 hours (mhd48-0) Branch: Bbottom reached 1 kG at 11.5 hours, kept constant thereafter (mhd48-1) Branch: Bbottom reached 5 kG at 19.6 hours, kept constant thereafter (mhd48-5) Branch: Bbottom reached 10 kG at 23 hours, kept constant thereafter (mhd48-10) Links to each data set

The Simulation 48 Mm wide x 20 Mm deep 12-80 km vertical & 24 km horizontal resolution Advect minimally structured magnetic field -- horizontal, uniform, untwisted – by inflows at bottom Gradually increase field strength to desired level with 5 hour e-folding time Objectives: Investigate flux emergence, formation of pores & sunspots (without ad hoc boundary conditions) Provide synthetic data for validating local helioseismology &vector magnetograph inversion procedures Determine nature & origin of supergranulation

Pore Formation Once Bbottom reached 5 kG stopped increasing field strength. Magnetic flux from the edge of a large loop separated and formed a vertical flux concentration “flux tube” near the surface. The “flux tube” grows in strength as more magnetic field lines are swept into it and a pore forms. A time sequence is shown in the following slides The intensity in the pore varies between 20% and 40% of the average intensity. There are bright structures with 2-3 times the average intensity.

Emergent Continuum Intensity |B| & Vhv scale |B|: kG |B| & Bhv Upflows carry large loop toward surface, while downflows pin down magnetic flux and prevent it from rising (top panel of |B| and velocity vectors) Flux begins to emerge in pepper and salt pattern of mixed polarities and granules have become distorted and elongated in direction of field (bottom panel) Vertical flux concentration has formed hear the surface at the edge of a large loop (middle panel of |B| and B vectors) Gray scale for intensity is in units of Quiet Sun average intensity, range from darkest to lightest is [0.2,3]<IQS>, but ends have been clipped Gray scale for magnetic field is in units of kG with range [-4,3] kG Emergent Continuum Intensity & Vertical B (τ=0.1) scale I: [ 0.2,3] <IQS> scale Bv: [-4,3] kG

Emergent Continuum Intensity |B| & Vhv scale |B|: kG |B| & Bhv Pore formed first at 19.98 hours. Emergent Continuum Intensity & Vertical B (τ=0.1) scale I: [ 0.2,3] <IQS> scale Bv: [-4,3] kG

Emergent Continuum Intensity |B| & Vhv scale |B|: kG |B| & Bhv Two small pores exist. Both have same polarity. Magnetic field has separated in to regions of opposite polarity. Emergent Continuum Intensity & Vertical B (τ=0.1) scale I: [ 0.2,3] <IQS> scale Bv: [-4,3] kG

Emergent Continuum Intensity |B| & Vhv scale |B|: kG |B| & Bhv One pore has grown Pore is moving to left due to large scale horizontal flows in its vicinity. Pore magnetic structure is extending deeper. Emergent Continuum Intensity & Vertical B (τ=0.1) scale I: [ 0.2,3] <IQS> scale Bv: [-4,3] kG

Magnetic “flux tube” extends deep into the computational domain, but not all the way to the bottom. Field lines in the “flux tube” connect to a wide variety of locations, including the purple one which is a U-loop. The blues and green seem to come from the edge of a mid-sized loop in the deeper layers as is also indicated in the vertical slices. A time sequence (from which this is a snapshot) shows that field lines are moving into the “flux tube” from its surroundings.

Active Region Model Another simulation 20 kG field advected into domain at bottom Several pores form Then B artificially increased α B. Pores increase in area with only slight increase in B, since in pressure equilibrium with surroundings, B only increases as Wilson depression deepens.

Proto-SPOTS Intensity -2 green, 2 yellow, 2.5 red (kG at τ=0.1) + Bvertical -2.5 blue, -2 green, 2 yellow, 2.5 red (kG at τ=0.1) This is from a different simulation. 20 kG field was advected in from the bottom. Once several pores had formed, the magnetic field was increased everywhere in proportion to its magnitude. This made the pores grow in size and become darker. The flux concentrations are very close together. There are some penumbral like structures, but it is not possible to clearly distinguish them.

Proto-Spot 1 Flux ~1x1019 Mx in this proto-spot Full resolution image of proto-spot intensity. Note: one plume seems to go under another in lower right of proto-spot. There is large shearing motions outside the proto-spot in the upper left region.

Proto Spot 2 Another proto-spot.

Reminder –Data is @ http://steinr.pa.msu.edu/~bob/data.html next slide has image of the page. This page contains links to all the data