Doppler signatures in EVE spectra, and flares H. Hudson, T. Woods, P. Chamberlin, L. Fletcher, and D. Graham The Extreme-ultraviolet Variability Experiment.

Slides:



Advertisements
Similar presentations
2006 AGU Fall Meeting. 14 Dec. 2006, San Francisco – Poster #G43A-0985 Jim Ray (NOAA/NGS), Tonie van Dam (U. Luxembourg), Zuheir Altamimi (IGN), Xavier.
Advertisements

Early EVE Observations and Flare First Results Frank Eparvier, EVE Project Scientist University of Colorado – LASP
FTP Biostatistics II Model parameter estimations: Confronting models with measurements.
Sampling: Final and Initial Sample Size Determination
Workshop: First look, Calibrations & RV standard IAP
I have been studying EVE H. S. Hudson Space Sciences Laboratory, University of California, Berkeley, USA Astronomy & Astrophysics Group, Glasgow Berkeley.
Flare Dynamics in the Lower Solar Atmosphere H. S. Hudson Space Sciences Laboratory, University of California, Berkeley, USA Astronomy & Astrophysics Group,
Flare Dynamics in the Lower Solar Atmosphere H. S. Hudson Space Sciences Laboratory, University of California, Berkeley, USA Astronomy & Astrophysics Group,
EVE non-detection of Doppler-shifted He II 304 Å H.S. Hudson 1,2, L. Fletcher 2, A. MacKinnon 2, and T. Woods 3 1 SSL, UC Berkeley, 2 University of Glasgow,
Experimental Uncertainties: A Practical Guide What you should already know well What you need to know, and use, in this lab More details available in handout.
I have been studying EVE H. S. Hudson Space Sciences Laboratory, University of California, Berkeley, USA Astronomy & Astrophysics Group, Glasgow Glasgow.
The Non-Flare Temperature and Emission Measure Observed by RHESSI J.McTiernan (SSL/UCB) J.Klimchuk (NRL)
RHESSI/GOES Observations of the Non-flaring Sun from 2002 to J. McTiernan SSL/UCB.
RHESSI/GOES Xray Analysis using Multitemeprature plus Power law Spectra. J.McTiernan (SSL/UCB)
Spectroscopy below ~20 keV Brian Dennis RHESSI/NESSI III 3/30 – 4/01/2005.
RHESSI/GOES Xray Analysis using Multitemeprature plus Power law Spectra. J.McTiernan (SSL/UCB) ABSTRACT: We present spectral fits for RHESSI and GOES solar.
The EUV spectral irradiance of the Sun from minimum to maximum Giulio Del Zanna Department of Space and Climate Physics University College London Vincenzo.
A Search for Point Sources of High Energy Neutrinos with AMANDA-B10 Scott Young, for the AMANDA collaboration UC-Irvine PhD Thesis:
2008/10/21 J. Fontenla, M Haberreiter LASP – Univ. of Colorado NADIR MURI Focus Area.
Measuring the Wilson effect: observations and modeling with RHESSI H. Jabran Zahid M. D. Fivian H. S. Hudson.
The Non-Flare Temperature and Emission Measure Observed by RHESSI and SXI J.McTiernan (SSL/UCB) J.Klimchuk (NRL) Fall 2003 AGU Meeting.
The Properties of Stars Masses. Using Newton’s Law of Gravity to Determine the Mass of a Celestial Body Newton’s law of gravity, combined with his laws.
Late-phase hard X-ray emission from flares The prototype event (right): March 30, 1969 (Frost & Dennis, 1971), a very bright over-the-limb event with a.
Layers of the Solar Atmosphere Corona Chromosphere Photosphere Details of solar activity can be seen more easily in the hotter outer layers, which are.
Statistical Analysis of Systematic Errors and Small Signals Reinhard Schwienhorst University of Minnesota 10/26/99.
V. Rouillard  Introduction to measurement and statistical analysis ASSESSING EXPERIMENTAL DATA : ERRORS Remember: no measurement is perfect – errors.
Thermal evolution of flares observed by PROBA2/LYRA I. E. Dammasch, M. Dominique, M. Kretzschmar (ROB/SIDC), P. C. Chamberlin (NASA/GSFC) COSPAR 39 th.
Variation of EUV solar irradiances along the cycle Vincenzo Andretta 1, Giulio Del Zanna 2, Seth Wieman 3 1 INAF – Osservatorio Astronomico di Capodimonte,
Multi-satellite Solar Spectral Irradiance Composite (MUSSIC) M. Snow, J. Machol, & E. Richard University of Colorado LASP & CIRES
Five years of EUV solar irradiance evolution, from short to long timescales as observed by PROBA2/LYRA I.E. Dammasch, M. Dominique, L. Wauters, A. Katsiyannis,
Error Analysis Accuracy Closeness to the true value Measurement Accuracy – determines the closeness of the measured value to the true value Instrument.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 8-1 Confidence Interval Estimation.
1 Institute of Engineering Mechanics Leopold-Franzens University Innsbruck, Austria, EU H.J. Pradlwarter and G.I. Schuëller Confidence.
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
Measurement Uncertainties and Inconsistencies Dr. Richard Young Optronic Laboratories, Inc.
Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 8-1 Statistics for Managers Using Microsoft® Excel 5th Edition.
Long-term monitor on Mrk 421 using ARGO-YBJ experiment S.Z Chen (IHEP/CAS/China, On behalf of the ARGO-YBJ collaboration  1. Introduction.
Comparison of Solar EUV Irradiance Measurements from CDS and TIMED/EGS W. T. Thompson L3 Communications EER, NASA GSFC P. Brekke ESA Space Science Department.
JWST Calibration Error Budget Jerry Kriss. 15 March 20072/14 JWST Flux & Wavelength Calibration Requirements SR-20: JWST shall be capable of achieving.
Comparison of Magnesium II Core-to-Wing Ratio Measurements J. Machol 1,2*, M. Snow 3, R. Viereck 4, M. Weber 5, E. Richard 3, L. Puga 4 1 NOAA/National.
Quasi-periodic upflows in the solar active region Hui Tian High Altitude Observatory, National Center for Atmospheric Research ASP research review 2010/10/27.
Issues concerning the interpretation of statistical significance tests.
ME Mechanical and Thermal Systems Lab Fall 2011 Chapter 3: Assessing and Presenting Experimental Data Professor: Sam Kassegne, PhD, PE.
SNAP Calibration Program Steps to Spectrophotometric Calibration The SNAP (Supernova / Acceleration Probe) mission’s primary science.
Measuring Magnetic fields in Ultracool stars & Brown dwarfs Dong-hyun Lee.
EVE Sun-as-a-Star Spectra Milligan et al “Fe Cascade” for SOL
LYRA Calibration, Data Products, Plans I. E. Dammasch, ROB/SIDC PROBA2 Science Meeting Sun 360, Kiel, Jul 2011 LYRA the Large-Yield Radiometer onboard.
Recent Solar Irradiance Data From SBUV/2 and OMI Matthew DeLand and Sergey Marchenko Science Systems and Applications, Inc. (SSAI) SOLID WP-2 Workshop.
Flare Irradiance Studies with the EUV Variability Experiment on SDO R. A. Hock, F. G. Eparvier, T. N. Woods, A. R. Jones, University of Colorado at Boulder.
ECE-7000: Nonlinear Dynamical Systems 2. Linear tools and general considerations 2.1 Stationarity and sampling - In principle, the more a scientific measurement.
Observations of Near Infrared Extragalactic Background (NIREBL) ISAS/JAXAT. Matsumoto Dec.2-5, 2003 Japan/Italy seminar at Niigata Univ.
Components of soft X-ray and extreme ultraviolet in flares observed by LYRA I. E. Dammasch, M. Dominique, M. Kretzschmar (ROB/SIDC), P. C. Chamberlin (NASA/GSFC)
Observations of the Thermal and Dynamic Evolution of a Solar Microflare J. W. Brosius (Catholic U. at NASA’s GSFC) G. D. Holman (NASA/GSFC)
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: Initial trade-off: Height-resolved.
XRT SOT Alignment DeLuca With comments from Tarbell & Metcalf 21-Jan-2006.
In conclusion the intensity level of the CCD is linear up to the saturation limit, but there is a spilling of charges well before the saturation if.
1 MURI:NADIR Progress on Area 6 solar features forecast October 2010.
Home Reading Skoog et al. Fundamental of Analytical Chemistry. Chapters 5 and 6.
Binomial Distribution Possion Distribution Gaussian Distribution Lorentzian Distribution Error Analysis.
Measurement of the CR light component primary spectrum B. Panico on behalf of ARGO-YBJ collaboration University Rome Tor Vergata INFN, Rome Tor Vergata.
Confidence Intervals Cont.
Solar gamma-ray and neutron registration capabilities of the GRIS instrument onboard the International Space Station Yu. A. Trofimov, Yu. D. Kotov, V.
ASTRONOMICAL DATA ANALYSIS
Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.
Combining Vicarious Calibrations
Introduction to Instrumentation Engineering
Differential Emission Measure
Soothing Massage of HMI Magnetic Field Data
Update on POLA-01 measurements in Catania
106.13: A Makeover for HMI Magnetic Field Data
Presentation transcript:

Doppler signatures in EVE spectra, and flares H. Hudson, T. Woods, P. Chamberlin, L. Fletcher, and D. Graham The Extreme-ultraviolet Variability Experiment (EVE) on SDO is providing a comprehensive set of EUV spectra of the Sun as a star. The routine sampling is with 10 s integrations at a resolution of 0.1 nm. Although this resolution corresponds to only some 1000 km/s in velocity space, we demonstrate that the instrument is stable enough to detect the SDO orbital motion of a few km/s readily in the bright He II line at 30.4 nm via MEGS-A. We find the random error in the centroid location of this line to be less than one pm (less than 1 km/s) per 10 s integration. We also note systematic effects from a variety of causes. For flare observations, the line centroid position depends on the flare position. We discuss the calibration of this effect and show that EVE can nonetheless provide clear Doppler signatures that may be interpreted in terms of flare dynamics. This information has some value in and of itself, because of EVE's sensitivity, but we feel that it will be of greatest importance when combined with imagery (e.g., via AIA) and modeling. We discuss flare signatures in several events, e.g. the gamma-ray flares SOL and SOL T:07:44, taking advantage of AIA image comparisons. We also discuss the non-gamma-ray events SOL and SOL T19:43 for comparison.

EVE/MEGS-A Instrument Raw flare data

Redshift analysis for MEGS-A We have used standard tools (Gaussian fits via IDL gaussfit; mean wavelengths) to characterize line centroid positions. The figure shows the Gaussian centroid for one week of observation at 30.4 nm. The heavy bar shows a displacement equivalent to 6.14 km/s.

Interpretation of redshifts The centroid determination is stable for week-long intervals, and during quiet solar conditions the redshifts are dominated by a sinusoidal term with period one day, amplitude about 3 km/s, and minima at the anti-Earth point in the SDO orbit. There are many artifacts also present, most notably (a) effects of the daily calibrations, and (b) a quasi-periodic variation at tens of minutes’ period that we currently cannot explain The data justify estimation of a random error, and it is of order 1 pm for the Gaussian fits; for simple mean-wavelength analysis (  S i i  i ) the random error is of order 100 fm for the He II 30.4 nm line. Such small uncertainties and good stability make the data interesting for flare observations, since 1 pm corresponds to about 10 km/s.

Measurement of random error We make Gaussian fits to each 10-s frame of EVE/MEGS-A data, as shown on the figures for the SOL flare. The figure shows cumulative error estimates for a quiet period: - errors of single-component Gaussian fit (red) - standard deviation of centroids (blue) The difference is understood to be the extra variance due to the model (a single Gaussian is not right)

Other non-flare redshifts One month of data – no obvious lunar term in the redshift variation Redshifts during an SDO eclipse (7 Oct. 2010), showing a possible thermal effect

Flare SOL (M2.0) GOES peak 00:57 UT

He II and Si XI lines He Si The wavelengths shown have a pm offset to match the MEGS-A scale The He wavelength shown is the weighted mean of the two lines The well-known Si XI blend may be present at this epoch The data will certainly support multi-line fits Is Chianti complete enough?

Differential spectral analysis for SOL Lessons learned: The random redshift errors are small If one assumes that the flare is compact, a differential measurement of evaporation may be possible Image comparisons with AIA are essential

Absolute vs. Relative wavelengths MEGS-A makes precise measurements of spectral irradiance and has a stable wavelength calibration. With assumptions, our flare observation suggests a wavelength offset of pm, around 3%. There are many known and unknown effects determining the wavelength calibration; among the former is the optical effect resulting from angle-dependent illumination of the CCD. Pre-launch calibration of this effect suggests that Where (  ) are the heliographic longitude and latitude. A first look for this dependence, based on four flares only – we can probably achieve an in-flight calibration check in this way!

Four flares in Fe XXIV 19.2 nm Upper two sets for the two SDO  -ray flares; lower two for the two SDO X-class events The fits are to the flare excess signal via simple subtraction In each case the line shifts systematically redwards, as expected from evaporation Statistical uncertainties for the X-class events are small (calibration bar 100 km/s)

Conclusions EVE/MEGS-A has excellent properties that contain clear Doppler signatures Although there is no imaging, the time series is complete There is imaging from AIA, of course, so combining the data sets bearing the simulations in mind should allow us to study flare dynamics with these data. There is a caveat regarding simple background subtraction in ignorance of the imaging: see Bornmann, ApJ 356, 733 (1990)