Measurements of lifetimes of high-l solar p-modes in sunspots

Slides:



Advertisements
Similar presentations
HMI Data Analysis Software Plan for Phase-D. JSOC - HMI Pipeline HMI Data Analysis Pipeline Doppler Velocity Heliographic Doppler velocity maps Tracked.
Advertisements

Tsing Hua University, Taiwan Solar Acoustic Holograms January 2008, Tucson Dean-Yi Chou.
Estimating the magnetic energy in solar magnetic configurations Stéphane Régnier Reconnection seminar on Thursday 15 December 2005.
H.N. Wang 1 , H. He 1, X. Huang 1, Z. L. Du 1 L. Y. Zhang 1 and Y. M. Cui 2 L. Y. Zhang 1 and Y. M. Cui 2 1 National Astronomical Observatories 2 National.
Reviewing the Summer School Solar Labs Nicholas Gross.
Farside Helioseismic Holography: Recent Advances I. González Hernández (1), D. Braun (2), S. M. Hanasoge(3), F. Hill (1), C. Lindsey (2), P. Scherrer (3)
Abstract Individual AR example: 8910 The only selection criterion imposed in this study is that the AR must be within 30 degrees of disk center to minimize.
SSPVE Discussion Group B Question 5 To what extent is it possible to predict the emergence of active regions before they reach the photosphere, or to predict.
Solar Polar Field Observed by SOHO/MDI and Hinode Yang Liu Stanford University 10/01/ Hinode Workshop.
1 Synoptic Maps of Magnetic Field from MDI Magnetograms: polar field interpolation. Y. Liu, J. T. Hoeksema, X. P. Zhao, R. M. Larson – Stanford University.
Tsing Hua University, Taiwan Measurements of Acoustic Waves Scattered by Sunspots (Stanford, April 2011, LoHCo Workshop) Dean-Yi Chou Hui Zhao Ming-Hsu.
Magnetogram Evolution Near Polarity Inversion Lines Brian Welsch and Yan Li Space Sciences Lab, UC-Berkeley, 7 Gauss Way, Berkeley, CA , USA.
POSTER TEMPLATE BY: Solar Flare and CME Prediction From Characteristics of 1075 Solar Cycle 23 Active Regions Determined Using.
Detection of Emerging Sunspot Regions in the Solar Interior Stathis Ilonidis, Junwei Zhao, and Alexander Kosovichev Stanford University LoHCo Workshop.
V.I. Abramenko, V.B. Yurchyshyn, H. Wang, T.R. Spirock, P.R. Goode Big Bear Solar Observatory, NJIT Crimean Astrophysical Observatory, Ukraine
MDI Level 1.8 Magnetograms Yang Liu Stanford University 6/23/ SHINE 2008.
What stellar properties can be learnt from planetary transits Adriana Válio Roque da Silva CRAAM/Mackenzie.
Five minute solar oscillation power within magnetic elements Rekha Jain & Andrew Gascoyne School of Mathematics and Statistics (SoMaS) University of Sheffield.
1 Status of Ring-diagram Analysis of MOTH Data Kiran Jain Collaborators: F. Hill, C. Toner.
An Introduction to Helioseismology (Local) 2008 Solar Physics Summer School June 16-20, Sacramento Peak Observatory, Sunspot, NM.
Acoustic Holographic Studies of Solar Active Region Structure A. Malanushenko 1,2, D. Braun 3, S. Kholikov 2, J. Leibacher 2, C. Lindsey 3 (1) Saint Petersburg.
P MODE TRAVEL TIME IN ACTIVE REGIONS USING TIME-DISTANCE METHOD CRAAG, Observatory of Algiers, BP 63 Bouzareah 16340, Algiers, Algeria. (1)
1 THE RELATION BETWEEN CORONAL EIT WAVE AND MAGNETIC CONFIGURATION Speakers: Xin Chen
GONG data and pipelines: Present & future. Present data products 800x800 full-disk images, one per minute, continuous (0.87 average duty cycle) Observables:
Far-side Imaging of Active Regions: Latest Developments Irene González Hernández and the GONG andHMI far-side teams National Solar Observatory, Tucson,
Wolfgang finsterle, September 26, 2006 Seismology of the Solar atmosphere Seismology of the Solar Atmosphere HELAS Roadmap Workshop, OCA Nice Wolfgang.
Multi-level observations of magneto- acoustic cut-off frequency Ding Yuan Department of Physics University of Warwick Coventry CV4 7AL, UK
Zasshikai S.UeNo MDI Measurement Errors: The Magnetic Perspective Y. Liu & A.A. Norton SOI-Technical Note Zasshikai S.UeNo.
Rabello-Soares, Bogart & Scherrer (2013): Comparison of a quiet tile with a nearby active region (5 o to 8 o away) with a quiet tile with no nearby.
Azimuth disambiguation of solar vector magnetograms M. K. Georgoulis JHU/APL Johns Hopkins Rd., Laurel, MD 20723, USA Ambiguity Workshop Boulder,
Far-side Imaging and Activity Irene González Hernández and the GONG and MDI far-side teams National Solar Observatory, Tucson, AZ Stanford University,
Artificial ‘Physics-light’ Ring Data Rachel Howe, Irene Gonzalez-Hernandez, and Frank Hill.
Using Realistic MHD Simulations for Modeling and Interpretation of Quiet Sun Observations with HMI/SDO I. Kitiashvili 1,2, S. Couvidat 2 1 NASA Ames Research.
Comparison of time- distance and holography Junwei Zhao and Alexander G. Kosovichev W. W. Hansen Experimental Physics Laboratory, Stanford University,
台灣清華大學, 物理系 Helioseismology (II) Global and Local Helioseismology ( , 北京 ) 周定一 Dean-Yi Chou.
Line Profile Characteristics of Solar Explosive Event Bursts Z. Ning et al 2004 A&A 419,1141 Speaker: Jinping Dun.
Local Helioseismology LPL/NSO Summer School June 11-15, 2007.
The Sun as whole: activity as seen by helioseismology A.C. Birch (Max Planck Institute for Solar System Research)
Observation on Current Helicity and Subsurface Kinetic Helicity in Solar Active Regions Gao Yu Helicity Thinkshop Main Collaborators: Zhang, H.
The Current Status of Sunspot Seismology H. Moradi, H. Schunker, L. Gizon (Max Planck Institute for Solar System Research, Katlenburg-Lindau, Germany)
Horizontal Flows in Active Regions from Multi-Spectral Observations of SDO Sushant Tripathy 1 Collaborators K. Jain 1, B. Ravindra 2, & F. Hill 1 1 National.
Three-Dimensional Power Spectra of GONG++ High- Cadence Magnetograms F. Hill, J. Bolding, R. Clark, K. Donaldson-Hanna, J. Harvey, G. Petrie, C. Toner.
Searching for the Magnetic Fields at the Base of the Convection Zone Dean-Yi Chou Institute of Astronomy & Department of Physics Tsing Hua University,
Ahmed A. HADY Astronomy Department Cairo University Egypt Deep Solar Minimum of Cycle23 and its Impact and its Impact.
Summary Using 21 equatorial CHs during the solar cycle 23 we studied the correlation of SW velocity with the area of EIT CH and the area of NoRH RBP. SW.
Holography of solar dynamics Doug Braun CoRA/NWRA.
GONG Time distance pipeline status Shukur Kholikov.
Fabry-Perot Approach to SPRING Sanjay Gosain NSO.
Solar Activity Level Estimation and Solar Activity Prediction Xin Huang Huaning Wang Liyun Zhang
Rachel Howe.  Rotation profile  Rotation changes over the solar cycle  The torsional oscillation  Tachocline fluctuations  Frequency and parameter.
Estimation of acoustic travel-time systematic variations due to observational height difference across the solar disk. Shukur Kholikov 1 and Aleksander.
Studies on Twisted Magnetic Flux Bundles
GONG Measurements – Pre-eruptive signatures
Alexandre José de Oliveira e Silva(UNIVAP)
Diagnosing kappa distribution in the solar corona with the polarized microwave gyroresonance radiation Alexey A. Kuznetsov1, Gregory D. Fleishman2 1Institute.
MDI Level 1.8 Magnetograms
HMI Data Analysis Pipeline
On the nature of moving magnetic feature pairs around sunspots
HMI Data Analysis Pipeline
Forward Modeling for Time-Distance Helioseismology
Time Distance Study of Isolated Sunspots
Magnetic Configuration and Non-potentiality of NOAA AR10486
LoHCo Meeting – Tucson, December 13, 2005
Sushanta C. Tripathy NSO, Tucson
Something New About Frequency Shifts
travel-time maps of sunspots: surface effects and artifacts?
Sushanta C. Tripathy National Solar Observatory
Olga Burtseva and Shukur Kholikov (NSO/GONG)
Variations of Solar Acoustic Radius from GONG low-L data
Time-distance: methods and results
Presentation transcript:

Measurements of lifetimes of high-l solar p-modes in sunspots Olga Burtseva, Frank Hill and Shukur Kholikov (NSO/GONG) LoHCo Meeting – Tucson – January 30, 2008

Outline Introduction Lifetime measurements technique Analysed data Lifetimes at solar min and max Lifetimes in sunspots Conclusions and future work

Introduction P-mode lifetimes can be determined from the line profile widths in power spectra of global modes ( < 200). For high- interval this method doesn’t work. One of the tools to determine the lifetimes of high- p-modes is to use absorption of p-modes in sunspots (Braun, Duvall & LaBonte 1987, 1988; Bogdan et al. 1993; Chen, Chou and the TON team 1996). Time-distance technique is an alternative way to estimate the lifetimes of high- solar acoustic waves.

Lifetime measurements technique The amplitude of the cross-correlation function decreases exponentially with the number of skips This phenomenon is interpreted as the dissipation of solar p-mode power (D.-Y.Chou et al., 2001) Lifetimes computed with this method are lifetimes of wave packets (not individual modes)

Lifetime measurements technique The amplitude (A) of the wave packet decreases due to dissipation Dispersion causes decrease of A and increase of the width (W) of the wave packet Dispersion doesn’t change the energy of the wave packet (A2W=const) with number of skips (n). Thus: An and Wn are amplitude and width of the cross-correlation function of the wave packet, en is one skip travel time, Т is lifetime

Lifetimes at solar min and max Analysed Data MDI full disk velocity data: two 512-minute time series at minimum (May 24 and September 18, 1996) and two 512-minute time series at maximum (September 9 and 11, 2000). - on the selected days in 1996, there is no active regions present in the solar disk. - on the two days in 2000, there are active regions on the solar disk. MDI full disk magnetograms to estimate strength of magnetic field.

Data analysis Remapping, tracking, SH decomposition, Gaussian filtering Phase velocity filtering to isolate wave packets with central0 and ℓ0 Reconstruction of the images and computing of the cross-correlation functions of the wave packets Region of target points is at the disk center

Lifetimes at solar minimum and maximum

Lifetimes at solar minimum and maximum The results show that the lifetime at maximum is systematically shorter than that at minimum. It is known that magnetic regions absorb or scatter the acoustic waves. We suppose that exclusion of the strong magnetic field areas from cross-correlation analysis will allow us to conclude if the lifetime change caused by effect of active regions or it changes with solar cycle because of global variations of the properties of the solar plasma with solar cycle.

Masking of active regions B of the quiet regions on the solar disk is upto 30 G, same in both 1996 and 2000. B in active regions is upto 1000 G.

Lifetimes after masking

Lifetimes before and after masking

Conclusions The results without masking of active regions show that the lifetime at solar maximum is systematically shorter than that at solar minimum. After exclusion of active regions lifetime at maximum is still systematically shorter than that at minimum, but by less quantity, as it increases. Next … Separate ingoing and outgoing waves, and compare lifetimes. Compute lifetime in sunspots.

Lifetimes in sunspots Analysed Data GONG and MDI full disk velocity data.

Lifetimes in sunspots Analysed Data AR Sunspot size, deg. <B>, G 13-Nov-2006 NOAA 10923 5.4 2500 11-Apr-2003 NOAA 10330 4.0 1800 30-Apr-2007 NOAA 10953 3.0 1600 17-Apr-2005 NOAA 10752 2.0 1450

Data analysis

Lifetimes in sunspots

Lifetimes in sunspots

Lifetimes in sunspots

Lifetimes in sunspots

Lifetimes in sunspots

Lifetimes in sunspots

Conclusions In the quiet regions: lifetimes of ingoing and outgoing waves are close in most of the cases. In the sunspots: lifetimes of outgoing waves are shorter in comparison with lifetimes of ingoing waves. Lifetimes in the sunspots are shorter then the lifetimes in the quiet regions.