Distribution of the magnetic flux in elements of the magnetic field in an active region Valentyna Abramenko Big Bear Solar Observatory, NJIT.

Slides:



Advertisements
Similar presentations
Free Magnetic Energy and Relative Helicity in Quiet Sun Regions and their role in Solar Dynamics Kostas Tziotziou IAASARS, National Observatory of Athens,
Advertisements

IHY General Assembly, Paris, January 2006 Photospheric flows around sunspots and pores Michal Sobotka Astronomical Institute, Academy of Sciences.
Jan 13, 2009ISSI1 Modeling Coronal Flux Ropes A. A. van Ballegooijen Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, U.S.A Collaborators:
A complete study of magnetic flux emergence, interaction, and diffusion should take into account some “anomalies” In the photosphere we can observe flux.
Nanoflares and MHD turbulence in Coronal Loop: a Hybrid Shell Model Giuseppina Nigro, F.Malara, V.Carbone, P.Veltri Dipartimento di Fisica Università della.
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:
Extrapolation vs. MHD modeling Hardi Peter Kiepenheuer-Institut Freiburg, Germany Contribution to the discussions at the SDO workshop / Monterey Feb 2006.
Magnetic fields in the photosphere and heliosphere: structure, statistical parameters, turbulent state Valentyna I. Abramenko Big Bear Solar Observatory.
Modelling the Global Solar Corona: Filament Chirality Anthony R. Yeates and Duncan H Mackay School of Mathematics and Statistics, University of St. Andrews.
Connections Between the Magnetic Carpet and the Unbalanced Corona: New Monte Carlo Models Steven R. Cranmer & Adriaan van Ballegooijen Harvard-Smithsonian.
Valentina Abramenko Big Bear Solar Observatory of NJIT Multi-fractality of Solar Magnetic Fields: New Progress with HMI Abstract. The SDO/HMI instrument.
Intermittency in the Photosphere and Corona as Derived from Hinode Data Valentina Abramenko Vasyl Yurchyshyn Big Bear Solar Observatory of NJIT Haimin.
Rapid Changes in the Longitudinal Magnetic Field Associated with the July gamma -ray Flare Vasyl Yurchyshyn, Haimin Wang, Valentyna Abramenko,
Descriptive statistics Experiment  Data  Sample Statistics Experiment  Data  Sample Statistics Sample mean Sample mean Sample variance Sample variance.
Understanding the Connection Between Magnetic Fields in the Solar Interior and the Solar Corona George H. Fisher Space Sciences Laboratory UC Berkeley.
Statistical Distributions of Speeds of Coronal Mass Ejections 1 Big Bear Solar Obs, Big Bear, CA 92314; 2 Catholic University of America, Washington DC.
Multi-fractality of Solar Magnetic Fields: New Progress with HMI Valentina I. Abramenko Big Bear Solar Observatory of NJIT Poster #40.
Dissipation of Alfvén Waves in Coronal Structures Coronal Heating Problem T corona ~10 6 K M.F. De Franceschis, F. Malara, P. Veltri Dipartimento di Fisica.
Feb. 2006HMI/AIA Science Team Mtg.1 Heating the Corona and Driving the Solar Wind A. A. van Ballegooijen Smithsonian Astrophysical Observatory Cambridge,
Flare Flux vs. Magnetic Flux …extending previous studies to new regimes.
Helicity as a Component of Filament Formation D.H. Mackay University of St. Andrews Solar Theory Group.
1 Statistical studies of the evolution of magnetic fields in the sun Loukas Vlahos Department of Physics, University of Thessaloniki, Greece
The Effect of Sub-surface Fields on the Dynamic Evolution of a Model Corona Goals :  To predict the onset of a CME based upon reliable measurements of.
V.I. Abramenko, V.B. Yurchyshyn, H. Wang, T.R. Spirock, P.R. Goode Big Bear Solar Observatory, NJIT Crimean Astrophysical Observatory, Ukraine
Calculation of Intermittency in the Photosphere and Corona from Hinode Data Valentina I. Abramenko And Vasyl B. Yurchyshyn Big Bear Solar Observatory of.
Sung-Hong Park Space Weather Research Laboratory New Jersey Institute of Technology Study of Magnetic Helicity and Its Relationship with Solar Activities:
Magnetic Field and Heating of the Corona Valentyna Abramenko and Vasyl Yurchyshyn Big Bear Solar Observatory.
Pre-Flare Changes in Current Helicity and Turbulent Regime of the Photospheric Magnetic Field V.I. Abramenko Big Bear Solar Observatory,NJIT Crimean Astrophysical.
Simulating the Rise of Low Twist Flux Ropes in the Convection Zone Mark Linton (Naval Research Lab) James Leake (George Mason University)
Sept. 13, 2007 CORONAL HEATING (Space Climate School, Saariselka, March, 2009) Eric Priest (St Andrews)
SH31C-08: The Photospheric Poynting Flux and Coronal Heating Some models of coronal heating suppose that convective motions at the photosphere shuffle.
LINE OF SIGHT MAGNETIC FIELD EVOLUTION & DATA ANALYSIS Dandan Ye.
Valentina Abramenko 1 Gary Zank 2 Alexander Dosch 2 Vasyl Yurchyshyn Big Bear solar Observatory of NJIT, CA 2 – CSPAR, Univ. of Alabama in Nuntsville,
Thomas Zurbuchen University of Michigan The Structure and Sources of the Solar Wind during the Solar Cycle.
Coronal Heating of an Active Region Observed by XRT on May 5, 2010 A Look at Quasi-static vs Alfven Wave Heating of Coronal Loops Amanda Persichetti Aad.
Observational Criteria for Small-Scale Turbulent Dynamo in the Solar Photosphere Valentina Abramenko, Philip Goode, Vasyl Yurchyshyn, Kwangsu Ahn Big Bear.
Modeling Magnetoconvection in Active Regions Neal Hurlburt, David Alexander, Marc DeRosa Lockheed Martin Solar & Astrophysics Laboratory Alastair Rucklidge.
Helicity as a Constraint on the Solar Dynamo Alexei A. Pevtsov If you worry about publicity Do not speak of Current Helicity Jan Stenflo.
Newark, Wiegelmann et al.: Coronal magnetic fields1 Solar coronal magnetic fields: Source of Space weather Thomas Wiegelmann, Julia Thalmann,
Signatures of Intermittent Turbulence in Hinode Quiet Sun Photosphere Valentina Abramenko, Big Bear Solar Observatory, USA, Plasma.
SLIDE SHOW 3 B changes due to transport + diffusion III -- * * magnetic Reynold number INDUCTION EQUATION B moves with plasma / diffuses through it.
19 Oct 2005SPW41 Penumbral MMFs S Jaeggli (UHawaii) C Henney (NSO) S Luszcz (Cornell) S Walton (CSUN/SFO)
Helicity Observations by Huairou Vector Magnetograph Mei Zhang National Astronomical Observatory, Chinese Academy of Sciences Plan of the Talk: 1.Huairou.
Magneto-Hydrodynamic Equations Mass conservation /t = − ∇ · (u) Momentum conservation (u)/t =− ∇ ·(uu)− ∇ −g+J×B−2Ω×u− ∇ · visc Energy conservation /t.
SDO-meeting Napa, Wiegelmann et al: Nonlinear force-free fields 1 Nonlinear force-free field modeling for SDO T. Wiegelmann, J.K. Thalmann,
Flux Emergence Rate in Coronal Holes and in Adjacent Quiet-sun Regions Valentyna Abramenko Big Bear Solar Observatory Lennard Fisk Lennard Fisk University.
Valentina Abramenko 1, Vasyl Yurchyshyn 1, Philip R. Goode 1, Vincenzo Carbone 2, Robert Stein Big Bear Solar Observatory of NJIT, USA; 2 – Univ.
Karen Meyer University of St Andrews Scotland 1 st year PhD student (3 months in)
Three-Dimensional Structure of the Active Region Photosphere as Revealed by High Angular Resolution B. W. Lites et al. 2004, Sol. Phys., 221, 65 Solar.
Негауссовские распределения спиральности солнечных магнитных полей в цикле активности Kuzanyan Kirill Kuzanyan Kirill; Sokoloff Dmitry (IZMIRAN, RAS &
SHINE Formation and Eruption of Filament Flux Ropes A. A. van Ballegooijen 1 & D. H. Mackay 2 1 Smithsonian Astrophysical Observatory, Cambridge,
Evolutionary Characteristics of Magnetic Helicity Injection in Active Regions Hyewon Jeong and Jongchul Chae Seoul National University, Korea 2. Data and.
Moving Magnetic Features (MMFs) Jun Zhang National Astronomical Observatories Chinese Academy of Sciences Collaborators: Sami Solanki and Jingxiu Wang.
Photospheric Flows and Structures Mark Rast Laboratory for Atmospheric and Space Physics Department of Astrophysical and Planetary Sciences University.
High Spatial Resolution Observations of Pores and the Formation of a Rudimentary Penumbra G. Yang, Y.Xu, H.Wangm and C.Denker 2003, ApJ, 597, 1190.
GOAL: To understand the physics of active region decay, and the Quiet Sun network APPROACH: Use physics-based numerical models to simulate the dynamic.
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 Loop Width Distribution – Are we Hitting Rock Bottom
From the Convection Zone to the Heliosphere
On the nature of moving magnetic feature pairs around sunspots
Motions of isolated G-band bright points in the solar photosphere
Scientific Collaboration of NAOC Facilities & Solar-B
Preflare State Rust et al. (1994) 太陽雑誌会.
Magnetic connection between the photosphere and the corona
Long-term trends of magnetic bright points: The evolution of MBP size and modelling of the number of MBPs at disc centre D. Utz [1,2,3], T. Van Doorsselaere.
Emerging Active Regions: turbulent state in the photosphere
Big Bear Solar Observatory of NJIT
Valentina Abramenko and Kwangsu Ahn
From the Convection Zone to the Heliosphere
Presentation transcript:

Distribution of the magnetic flux in elements of the magnetic field in an active region Valentyna Abramenko Big Bear Solar Observatory, NJIT

INTRODUCTION Turbulent flows in the photospheric plasma Braiding and intertwining of magnetic flux tubes Heating of the corona (Parker, 1996) Magnetic coupling between the photosphere and the corona

INTRODUCTION Information on the dynamics and statistical parameters of the photospheric magnetic field is necessary when Analyzing processes in the corona: Thomas & Stanchfield 2000, Bogdan et al. 2003, Gudiksen & Nordlund 2002, Handy & Schrijver 2001, Bewcher ey al. 2002, Moore,Falconer,Porter & Hathaway 2003 Modeling of interaction between turbulent plasma and the magnetic field below the photosphere: Schrijver et al. 1997, Fan, Abbett & Fisher 2003, Longcope, McLeish Fisher 2003

INTRODUCTION The distribution function of the magnetic flux content in flux concentrations in the photosphere: Previous studies - Wang, J.X., Wang H., Tang, Lee, Zirin 1995, Sol. Phys 160 the flux range: ( )10 18 Mx; quiet sun areas Power Law with the index –1.67 (intranetwork) and –1.27(network) Schrijver, Title, van Ballegooijen, Hagenaar, Shine 1997 the flux range:(0.7-5)10 18 Mx; quiet sun areas Exponential approximation Schrijver, Title, Hagenaar, Shine 1997, Sol.Phys.175 ( the flux range: ( )10 18 Mx; quiet sun; plage areas outside sunspots Exponential approximation with the varying index Abramenko – present study the flux range: ( )10 18 Mx; active region Lognormal + Power Law

Observational data: Processing: - A 3-point running mean procedure; - An absolute value of the magnetic field density, i.e. an unsigned flux. 248 high resolution SOHO/MDI magnetograms of active region NOAA 9077 obtained on July 14, 2000 between 06:26UT and 11:00UT. The entire area of the active region (145x145 arcsec or 250x250 pixels) was analyzed.

Two codes to determine flux concentrations: The Circle code The Maximum-gradient code

Probability Distribution Function

m and s 2 are the mean and the variance of the Gaussian distribution of log(  ) Lognormal Distribution Function: The expected value: The variance :

Probability Distribution Function

Discussion Discussion I. Longcope, Mc Leish & Fisher (2003, ApJ 599) : a viscoelastic theory the distribution function a viscoelastic theory of interaction between turbulent flows and fibril magnetic fields. The theory is based on an assumption of a back-reaction of fibrils on the plasma flow. All aspects of the viscous back-reaction depend on the distribution function of the magnetic flux in fibrils. log-normally-distributed flux tubes An ensemble of log-normally-distributed flux tubes will provide viscous back-reaction larger than predictions based on exponential distributions.

Discussion Discussion II.What does the lognormal distribution imply? product When a random variable u is a product of a large number of independent random variables: u=u 1 · u 2 · u 3 · … · u n · …, sum then log(u) is a sum of a large number of independent variables: log(u)=log(u 1 )+ log(u 2 )+log(u 3 ) + …+ log( u n ) +… And log(u) produces a normal (Gaussian) distribution. Then it is said that u has a lognormal distribution. fragmentation process. This kind of random variables arises, in particular, through the fragmentation process.

Discussion Discussion III In the solar photosphere and convective zone: - fragmentation through the turbulent diffusion; - concentration at convergence points of the flows. Petrovay&Moreno-Insertis(1997): erosion in inhomogeneous and/or non-stationary situation, turbulent diffusion dominates over concentration causing a turbulent erosion of magnetic flux tubes. Simon & Leighton (1964): erosion observations of a gradual disintegration of sunspots due to erosion of penumbral boundaries. Bogdan, Gilmar, Lerche, Howard (1988): Fragmentation observed lognormal distribution of areas of sunspot umbra. Fragmentation of magnetic elements may be the essential process in the formation of an observed magnetic structure.