Colorado Research Associates Division, NorthWest Research Associates IVM data for 1997 May 09 -- 15 A Study in.... “Region/event was chosen without consideration.

Slides:



Advertisements
Similar presentations
Introduction to Hypothesis Testing
Advertisements

Statistics.  Statistically significant– When the P-value falls below the alpha level, we say that the tests is “statistically significant” at the alpha.
Mr F’s Maths Notes Statistics 8. Scatter Diagrams.
Review and Rating Discharge Measurements David S. Mueller Office of Surface Water March 2010.
Magnetic Helicity and Energetics in Solar Active Regions: Can we calculate them – why do we need them? Manolis K. Georgoulis JHU/APL Whistler, CA, 08/01/07.
Nonlinear Force Free Field Extrapolation for AR J.McTiernan 7-Nov-2005.
Nonlinear Force Free Field Models for AR J.McTiernan, H.Hudson (SSL/UCB) T.Metcalf (LMSAL)
Segmentation (Section 10.2)
Focused Reducts Janusz A. Starzyk and Dale Nelson.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
The May 1,1998 and May 12, 1997 MURI events George H. Fisher UC Berkeley.
PPA 502 – Program Evaluation Lecture 5b – Collecting Data from Agency Records.
NLFFF Energy Measurement of AR8210 J.McTiernan SSL/UCB.
Colorado Research Associates Division, NorthWest Research Associates Data from the Imaging Vector Magnetograph, Mees Solar Observatory, UH/IfA Gang of.
The Calibration Process
The May 1997 and May 1998 MURI events George H. Fisher UC Berkeley.
Example 10.1 Experimenting with a New Pizza Style at the Pepperoni Pizza Restaurant Concepts in Hypothesis Testing.
Chapter 8 Introduction to Hypothesis Testing. Hypothesis Testing Hypothesis testing is a statistical procedure Allows researchers to use sample data to.
Inference in practice BPS chapter 16 © 2006 W.H. Freeman and Company.
Database evidence By Ana Figueiredo. Field name: Food item Data Type: text Field Size: 25 Explanation I have used text because for this specific field.
August 2 and 3, 2010 KOSMOS Design Considerations Jay Elias.
Flares in and their associations with CMEs N.V. Nitta, J.P.Wuelser, M. J. Aschwanden, J. R. Lemen (LMSAL), D. M. Zarro (Adnet, Inc.)
90288 – Select a Sample and Make Inferences from Data The Mayor’s Claim.
90288 – Select a Sample and Make Inferences from Data The Mayor’s Claim.
Optimization_fff as a Data Product J.McTiernan HMI/AIA Meeting 16-Feb-2006.
Bayesian Inversion of Stokes Profiles A.Asensio Ramos (IAC) M. J. Martínez González (LERMA) J. A. Rubiño Martín (IAC) Beaulieu Workshop ( Beaulieu sur.
STA Lecture 181 STA 291 Lecture 18 Exam II Next Tuesday 5-7pm Memorial Hall (Same place) Makeup Exam 7:15pm – 9:15pm Location TBA.
for statistics based on multiple sources
Azimuth disambiguation of solar vector magnetograms M. K. Georgoulis JHU/APL Johns Hopkins Rd., Laurel, MD 20723, USA Ambiguity Workshop Boulder,
Chapter 8 Delving Into The Use of Inference 8.1 Estimating with Confidence 8.2 Use and Abuse of Tests.
STA Lecture 191 STA 291 Lecture 19 Exam II Next Tuesday 5-7pm Memorial Hall (Same place as exam I) Makeup Exam 7:15pm – 9:15pm Location CB 234.
Pre-Class Music Paul Lansky Six Fantasies on a Poem by Thomas Campion.
Basic Time Series Analyzing variable star data for the amateur astronomer.
NoRH Observations of RHESSI Microflares M.R. Kundu, Dept. of Astronomy, University of Maryland, College Park, MD E.J.Schmahl, Dept. of Astronomy, University.
Stats Lunch: Day 3 The Basis of Hypothesis Testing w/ Parametric Statistics.
Observation on Current Helicity and Subsurface Kinetic Helicity in Solar Active Regions Gao Yu Helicity Thinkshop Main Collaborators: Zhang, H.
STA Lecture 221 !! DRAFT !! STA 291 Lecture 22 Chapter 11 Testing Hypothesis – Concepts of Hypothesis Testing.
Statistical Techniques
Worth 20 marks – 25% of overall grade To be completed in one hour under exam conditions.
Moving Magnetic Features (MMFs) Jun Zhang National Astronomical Observatories Chinese Academy of Sciences Collaborators: Sami Solanki and Jingxiu Wang.
Lecture 04 Edge Detection Lecture 04 Edge Detection Mata kuliah: T Computer Vision Tahun: 2010.
Uncertainty and confidence Although the sample mean,, is a unique number for any particular sample, if you pick a different sample you will probably get.
SHINE 2008 Vector Magnetic Fields from the Helioseismic and Magnetic Imager Steven Tomczyk (HAO/NCAR) Juan Borrero (HAO/NCAR and MPS)
Uncertainty & Variability Water Resource Risk Analysis Davis, CA 2009.
“ Building Strong “ Delivering Integrated, Sustainable, Water Resources Solutions Uncertainty & Variability Charles Yoe, Ph.D.
Tests of Significance -how to put them in writing.
Chapter Making Sense of Statistical Significance & Inference as Decision.
Modern Languages Row A Row B Row C Row D Row E Row F Row G Row H Row J Row K Row L Row M
Calculator Tricks 1 By Brian Carruthers ( (Please see notes on slide 1)
Mr Barton’s Maths Notes
What bandwidth do I need for my image?
NLFFF Energy Measurement of AR8210
▪ Issues after KOBRA review meeting
COS FUV Flat Fields and Signal-to-Noise Characteristics
Analysis of 14/20 mrad Extraction Line Energy Chicane
New Iterative Method of the Azimuth Ambiguity Resolution
Complaint letter Feedback
Words and Actions Can Hurt
Screen Stage Lecturer’s desk Gallagher Theater Row A Row A Row A Row B
On the nature of moving magnetic feature pairs around sunspots
For a given CA II K-line index there are too few sunspots after 2000
Pulsar Data II Single-Pulse Plots
Interviews Although Social Surveys can be conducted using written questionnaires, sociologists often use the interview method as an alternative. The Interview.
Chapter 12 Power Analysis.
TECHNIQUES OF INTEGRATION
Pulsar Data II Single-Pulse Plots
Soothing Massage of HMI Magnetic Field Data
Chapter 4 Summary.
106.13: A Makeover for HMI Magnetic Field Data
Presentation transcript:

Colorado Research Associates Division, NorthWest Research Associates IVM data for 1997 May A Study in.... “Region/event was chosen without consideration to IVM data quality” --or-- “Please, please don't make me do this....”

Colorado Research Associates Division, NorthWest Research Associates AR 8038 Data available from IVM: : –Not a lot of data, and I believe that there are some calibration files missing. –One “survey” 17:12 UT (1.1'' full FOV, 3 spectral repeats) : –One “survey” UT –There is a short time series 18:00 – 22:00 UT (approx) –Reduced by BJL; raw data (probably?) unavailable, so probably can't re- reduce. –Ambiguity-resolution not yet performed : –One 18:20 UT –Time-series 19:31UT – 21:41 UT, 15 grams, 0.55'' ½-sized FOV, 2 spectral repeats –Reduced by BJL, ambiguity-resolved by KDL, distributed by KDL –Problems exist: Unfixable: seeing (terrible!) –KDL re-reducing, working on: Flat-field incongruity, inversion-induced discontinuities, ambiguity resolution issues in plage regions, time-series inconsistencies.

Colorado Research Associates Division, NorthWest Research Associates Final Products and my evaluation of them: (big grain-of-salt on “Final”!) : Survey 17:12 UT –No raw data available, no chance to re-reduce. –Survey 'gram is marginal, appropriate for large-scale qualitative structure evaluation, best if binned by factor 2—4. –Field strengths may be sytemmatically low, noisy; azimuths might show Faraday rotation : Survey UT –Inversion: ok field strength determinations; Haven't looked in detail yet beyond that Time-series 18:00 – 22:00 UT –Initial reaction:

Colorado Research Associates Division, NorthWest Research Associates : UT –Re-reduced by BJL provides better general sunspot field magnitudes and field directions. Still umbral noise due to lack of photons, and “Triplet with Spots Keyword” inversion produces spurious Jz at penumbral boundaries. –Ambiguity resolution is acceptable Time Series 1931 – 2141 UT –No matter what: all will have residual fringes and un-corrected(able) dust- specs. –some appear to be acceptable (19:31, 19:40, 19:48, 20:11, 20:43, 21:25, ) in terms of basic data quality. –Others (20:02, 20:19, 20:27, 20:35, 20:51, 20:59, 21:07, 21:33, 21:41) have offsets in Btrans and azimuth of unknown origin that result in large areas that should be below noise being significantly above the noise in Bz and cause serious conniptions for the ambiguity resolution and –“acceptable” and “not acceptable” are my subjective evaluations, usually based on approximately 3-sigma requirements. Those in the “others” list may be used at the 4—5 sigma level; see me for more details as to whether these data will meet your requirements. Final products Cont'd

Colorado Research Associates Division, NorthWest Research Associates 19:31UT 20:02 UT Fringes, seeing, dust specks Penumbral jump in Bz, Jz Bz jumps and line-currents in plage

Colorado Research Associates Division, NorthWest Research Associates KD trying some tricks for re-reducing the data. Some improvements, some... not. Decrease in fringing Less penumbral jump in Bz, Jz Completely awful line-currents Decreased magnitudes of B 19:31 UT 20:02 UT

Colorado Research Associates Division, NorthWest Research Associates IVM data can be used to provide Bz boundary condition –(Allow KD to temporally select and average a bunch for best results) IVM data can be used to provide B as a boundary condition –(Allow KD to temporally select and average a bunch for best results) IVM data probably should not be used as a time-series –Caveat #1: probably ok for select magnetograms –Caveat #2: possibly ok for qualitative characteristics of Bz Bottom line for AR : Bottom line for AR : IVM data can be used to provide Bz boundary condition IVM data probably can be used for a day-to-day time series for evolution of not only Bz but B, too. –Caveat #1: probably best if additional binning performed for better signal/noise.