1 Zero Point Correction. 2 Basic Steps - I For a given site on a given day: 1.Create a magnetic flat field from the east & west calibration images. 2.Using.

Slides:



Advertisements
Similar presentations
Questions From Yesterday
Advertisements

1 GONG Magnetogram pipeline. 2 The GONG Data Processing Pipeline
HMI Data Analysis Software Plan for Phase-D. JSOC - HMI Pipeline HMI Data Analysis Pipeline Doppler Velocity Heliographic Doppler velocity maps Tracked.
The Solar Radio Microwave Flux and the Sunspot Number Leif Svalgaard Stanford University, Stanford, CA, USA. [ Hugh S Hudson University.
Estimating the magnetic energy in solar magnetic configurations Stéphane Régnier Reconnection seminar on Thursday 15 December 2005.
3/2/2005MUG Meeting, Tucson1 Status of GONG+ Magnetograms How GONG makes magnetograms Performance Problems Solutions Schedule Data availability Pilot Projects.
Physics Rules for using Significant Figures. Rules for Averaging Trials Determine the average of the trials using a calculator Determine the uncertainty.
Error Propagation. Uncertainty Uncertainty reflects the knowledge that a measured value is related to the mean. Probable error is the range from the mean.
Time series analysis - lecture 5
AEOS Telescope + Image-Slicer/ Spectrograph Data Reduction and Results for June 8, 2006.
A particularly obvious example of daily changing background noise level Constructing the BEST High-Resolution Synoptic Maps from MDI J.T. Hoeksema, Y.
Solar Polar Field Observed by SOHO/MDI and Hinode Yang Liu Stanford University 10/01/ Hinode Workshop.
September 2006 CISM All Hand Meeting Progress in the Past Year and Plan for Next Year Yang Liu and the Solar Group in Stanford University
2008/10/21 J. Fontenla, M Haberreiter LASP – Univ. of Colorado NADIR MURI Focus Area.
Free Energies via Velocity Estimates B.T. Welsch & G.H. Fisher, Space Sciences Lab, UC Berkeley.
Accurate Polar and small scale observations during the solar cycle Elena E. Benevolenskaya Yang Liu J. Todd Hoeksema Stanford University HMI/AIA meeting,
Timed. Transects Statistics indicate that overall species Richness varies only as a function of method and that there is no difference between sites.
Signal, Instruments and Systems Project 5: Sensor accuracy in environmental sensor networks.
HMI MDI Comparison Y. Liu. CR 2104 CR 2109 MDI = 1.2 * HMI 720s / 45s.
Study of magnetic helicity in solar active regions: For a better understanding of solar flares Sung-Hong Park Center for Solar-Terrestrial Research New.
Active Region Flux Transport Observational Techniques, Results, & Implications B. T. Welsch G. H. Fisher
Advanced Technology Center 1 HMI Rasmus Larsen / Processing Modules Stanford University HMI Team Meeting – May 2003 Processing Module Development Rasmus.
A particularly obvious example of daily changing background noise level Constructing the BEST High-Resolution Synoptic Maps from MDI J.T. Hoeksema, Y.
MDI Level 1.8 Magnetograms Yang Liu Stanford University 6/23/ SHINE 2008.
SPD – June 2006 Solar Polar Flux – MDI The Sun’s Polar Magnetic Flux Observed with SOHO/MDI J. Todd Hoeksema E.E. Benevolenskaya,
1 Synoptic Maps of Magnetic Field from MDI/WSO Magnetograms Y. Liu, J. T. Hoeksema, X. P. Zhao, R. M. Larson – Stanford University
Introduction The primary geomagnetic storm indicator is the Dst index. This index has a well established ‘recipe’ by which ground-based observations are.
Seething Horizontal Magnetic Fields in the Quiet Solar Photosphere J. Harvey, D. Branston, C. Henney, C. Keller, SOLIS and GONG Teams.
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.
CHARTS Graticule - grid over the globe made up of circles
Sky Coordinate Image Specs Fully processed: –Merged –10-min cadence –“sky to sky” interpolation –Gaussian temporal filter –Renormalized such that time.
Regression analysis Control of built engineering objects, comparing to the plan Surveying observations – position of points Linear regression Regression.
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:
GONG Magnetograms - Raw to Synoptic Map J. Harvey.
Review of Building Multiple Regression Models Generalization of univariate linear regression models. One unit of data with a value of dependent variable.
I. INTRODUCTION Gas Pressure Magnetic Tension Coronal loops are thin and bright structure of hot plasma emitting intense radiation in X-ray and EUV. (1)
BMI2 SS08 – Class 7 “functional MRI” Slide 1 Biomedical Imaging 2 Class 7 – Functional Magnetic Resonance Imaging (fMRI) Diffusion-Weighted Imaging (DWI)
MOS Data Reduction Michael Balogh University of Durham.
Practical applications: CCD spectroscopy Tracing path of 2-d spectrum across detector –Measuring position of spectrum on detector –Fitting a polynomial.
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.
Chapter 27 Lecture 24: Circuits: II HW 8 (problems): 26.10, 26.22, 26.35, 26.49, 27.12, 27.30, 27.40, Due Friday, Nov.6.
1 The Mean Field of the Sun Leif Svalgaard Stanford University Sept. 2, 2011.
True FOE Computed FOE Recovering the observer’s rotation Velocity component due to observer’s translation Velocity component due to observer’s rotation.
14 January Observational Astronomy SPECTROSCOPIC data reduction Piskunov & Valenti 2002, A&A 385, 1095.
Basic Detector Measurements: Photon Transfer Curve, Read Noise, Dark Current, Intrapixel Capacitance, Nonlinearity, Reference Pixels MR – May 19, 2014.
Three-Dimensional Power Spectra of GONG++ High- Cadence Magnetograms F. Hill, J. Bolding, R. Clark, K. Donaldson-Hanna, J. Harvey, G. Petrie, C. Toner.
Force Sensing in SB2’s Wings Anna-Katrina Shedletsky BDML Friday, August 24, 2007.
Latest Terra-MODIS Ocean Color Radiance Corrections Inter-detector, Mirror Side, Cross-Scan, and Gain Adjustments Bob Evans, Ed Kearns, Kay Kilpatrick.
POLAR CORONAL HOLES A Link to Predicting Solar Maximum.
SOLIS-VSM Magnetic Synoptic Maps
Mapping the Solar Magnetic Surface (a la Worden & Harvey)
Observables codes: written by Richard, Jesper, and Sebastien
Charge Transfer Efficiency of Charge Coupled Device
Notes Over 3.4 The Rational Zero Test
Observing and Data Reduction
MDI Level 1.8 Magnetograms
Subpixel Registration and Distortion Measurement
New Iterative Method of the Azimuth Ambiguity Resolution
Carrington Rotation 2106 – Close-up of AR Mr 2106 Bt 2106
HMI Data Analysis Pipeline
Coefficient E.
Find all solutions of the polynomial equation by factoring and using the quadratic formula. x = 0 {image}
Typical Compass Construction
For a given CA II K-line index there are too few sunspots after 2000
Photometric Analysis of Asteroids
Announcements HR Diagram lab will be extended for one week. I’ll talk about it today. Homework: Chapter 9 # 1, 2 & 3 Next week is a Dark Sky Night. If.
HMI Data Analysis Pipeline
Supergranule Scale Convection Simulations
Deriving behavioural receptive fields for visually completed contours
Presentation transcript:

1 Zero Point Correction

2 Basic Steps - I For a given site on a given day: 1.Create a magnetic flat field from the east & west calibration images. 2.Using the magnetic flat, create a “reference magnetogram” from the calibration solar image and the observations near the calibration sequence 3.Create 10-min averages of the magnetograms during the day. 4.Register, rotate and remap the averages and reference to a common scale and time

3 Basic Steps II 5.Subtract the reference from each 10-min average. 6.Fit the differences with Zernicke polynomials. 7.Fit the time series of Zernicke coefficients with 24-hr and 12-hr sinusoids. 8.Smooth the harmonic fit coefficients over several days. 9.These final coefficients can be used to compute a correction for the magnetogram at any time

4 Zernickes

5 Time Series of Zernicke Coefficients

6 How well does it work? Before processing, zero point varies across image by about 5-10 G. After processing, variation is about 1 G at best Not good enough, want G Seeing noise is a significant problem

7 Questions Will a software correction be needed after the new modulator is installed? If so, will the current method be adequate? If not, how can it be improved? How can it be tested?