Olga Burtseva and Shukur Kholikov (NSO/GONG)

Slides:

Advertisements

Similar presentations

Tsing Hua University, Taiwan Solar Acoustic Holograms January 2008, Tucson Dean-Yi Chou.

Advertisements

Preeti Bhaneja Terry Bullett November 8, 2011

Hospital Physics Group

Cross-correlation Cross-correlation function (CCF) is defined byscaling a basis function P(X i ), shifted by an offset X, to fit a set of data D i with.

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)

Time-Distance Pipeline for the Upper 30Mm Convection Zone Status 11/5/2007.

Detection of Emerging Sunspot Regions in the Solar Interior Stathis Ilonidis, Junwei Zhao, and Alexander Kosovichev Stanford University LoHCo Workshop.

Multiple current exposure without mark detection Possible? Tolerance? Using only the 4 th lens: –1 st exposure: 0.1nA, 2 nd aperture (min. current) –2.

Whole School Attendance Whole School Attendance 94.64% Overall School Absence 5.36%

RELATIVE VELOCITY IN 2D. WARM UP A boat travels at a constant speed of 3 m/s on a river. The river’s current has a velocity of 2 m/s east. 1.If the boat.

Arithmetic Sequences Finding the nth Term. Arithmetic Sequences A pattern where all numbers are related by the same common difference. The common difference.

Filter Set Selection. It is best to follow this presentation with a Fluorophore excitation/emission maxima chart to hand.

Mapping active regions in the Far Side of the Sun using helioseismology I. González Hernández, F. Hill (1) C. Lindsey and D. Braun (2) (1) National Solar.

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)

WFC3 SOC, October 04, 2007 WFC3 Grisms Results from TV2 2D Simulations Harald Kuntschner, Jeremy Walsh, Martin Kümmel ST-ECF.

Circular Motion Deriving the formula for centripetal acceleration.

Far-side Imaging and Activity Irene González Hernández and the GONG and MDI far-side teams National Solar Observatory, Tucson, AZ Stanford University,

1 Mode Parameter Variations from GONG Ring Diagrams: An Update Rachel Howe, NSO.

SITE PARAMETERS RELEVANT FOR HIGH RESOLUTION IMAGING Marc Sarazin European Southern Observatory.

Artificial ‘Physics-light’ Ring Data Rachel Howe, Irene Gonzalez-Hernandez, and Frank Hill.

9) P = π10) P = π/211) P = π/5; ± π/10 12) P = (2 π)/3; ± π/313) P = π/4; ± π/8 14) P = (3π 2 )/2; ±(3π 2 )/4 15) 16) 17) 18)

Local Helioseismology LPL/NSO Summer School June 11-15, 2007.

Review Doppler Radar (Fig. 3.1) A simplified block diagram 10/29-11/11/2013METR

1 GONG Magnetogram Data Products. 2 Sky-coordinate images Single-site or merged? –Single-site requires users to select. –Merge has lower noise, may require.

Two-Step Equations Lesson 7-1. Steps to Solving Equations 1. “Balance Out” To shift terms of an equation around the “=“ by addition or subtraction Goal:

 Life Expectancy is 180 th in the World.  Literacy Rate is 4 th in Africa.

Travel Time Measurements Markus Roth 1, Laurent Gizon 1, John G. Beck 2 1 Max-Planck-Institut für Sonnensystemforschung 2 Stanford University HELAS Workshop.

Searching for the Magnetic Fields at the Base of the Convection Zone Dean-Yi Chou Institute of Astronomy & Department of Physics Tsing Hua University,

Time-distance measurements of meridional circulation using pairs of points at equal center-to- limb angle Tom Duvall Deep Chakraborty Tim Larsen.

Comparison of Image Registration Methods David Grimm Joseph Handfield Mahnaz Mohammadi Yushan Zhu March 18, 2004.

Cavity BPM: Multi-bunch analysis N Joshi, S Boogert, A Lyapin, F. Cullinan, et al. Royal Holloway University of London,

GONG Time distance pipeline status Shukur Kholikov.

Estimation of acoustic travel-time systematic variations due to observational height difference across the solar disk. Shukur Kholikov 1 and Aleksander.

Correlators ( Backend System )

Diffraction Topic 13.5 Outcomes You will describe, qualitatively, diffraction, interference and polarization You will describe, qualitatively, how.

What Moon Phase Is This? 4.8C Collect and analyze data to identify sequences and predict patterns of change in shadows, tides, seasons, and the observable.

Automating the Polarizing Filter

2nd Grade Campus Math Bee.

Art Awareness Q1 – ARTIST

Unit 1 Part 5: Relative Velocity

T H O L A S IP R I N T ST H O L A S IP R I N T S.

No spelling words Ms. Passer’s News from Room 106

Light and the Electromagnetic Spectrum

HERA Imaging and Closure

Free Surface Multiple Elimination

Algebraic Expressions, Equations, and Symbols

Results of HyCal Analyses

ECO day Thursday 1st November

WUR Dual SYNC Design Follow-up: SYNC bit Duration

An Investigation of Densities of Transit Detected Exoplanets

BEHAVIOR OF LIGHT ,,,,,,,,,,,.

Kinder Campus Math Bee School Year.

2nd Grade Campus Math Bee

Magnetic Resonance Imaging

Kindergarten Math Bee Practice.

Kinder Campus Math Bee School Year.

Intensity Transformation

The Image The pixels in the image The mask The resulting image 255 X

Stages of Production.

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

LoHCo Meeting – Tucson, December 13, 2005

All about convolution.

Kindergarten Math Bee Practice.

Summary of NASA LWS TR&T Focus Team: “Predict Emergence of Solar Active Regions Before they are Visible”

Holography Applied to Artificial Data

holographic measurements of simulated flows

travel-time maps of sunspots: surface effects and artifacts?

Variations of Solar Acoustic Radius from GONG low-L data

Presentation transcript:

Olga Burtseva and Shukur Kholikov (NSO/GONG) Comparison of Shravan’s artificial data with GONG data (preliminary results) Olga Burtseva and Shukur Kholikov (NSO/GONG) LoHCo meeting – Boulder, 9 November 2006

ARTificial data GONG data Raw: 512512 pixels images in (,) coordinates -90    90 0    180 (front side) 181    360 (far side)  - range: 0 - 192 Duration: 1024 min. Remaped: 700512 pixels in (sin ,) coordinates No rotation Filtered with Gaussian function: FWHM = 2.0 mHz, 0 = 3.0 mHz Raw: 800800 pixels velocity images, two days in January 2004 Duration: 1024 min. Remaped: 700512 pixels in (sin ,) coordinates Rotation subtracted Filtered with Gaussian function: FWHM = 2.0 mHz, 0 = 3.0 mHz

Cross-correlation function

Envelope travel time

Envelope travel time

Envelope travel time

Travel times difference

Travel times difference

Conclusion Cross-correlation function of the ART data looks fine, multiple bounces are visible Travel times of the ART data are systematically ~ 6-7 min. shorter than the GONG travel times Travel times of 2nd and 3rd skips of the ART data are not exactly 2 and 3 times longer than 1st skip travel time We found ~1 min. shift in travel times between ingoing and outgoing waves for the ART data Difference between phase and envelope times is more or less constant in 4 skips of the ART data, while it is not the case for the GONG data