Enhancement and Identification of Faint Features in STEREO COR1 Images - PowerPoint PPT Presentation

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Enhancement and Identification of Faint Features in STEREO COR1 Images

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Enhancement and Identification of Faint Features in STEREO COR1 Images ... Similar to Hough transform used by CACTus. f. r. Feature Enhancement Example (CME-related) ... – PowerPoint PPT presentation

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Title: Enhancement and Identification of Faint Features in STEREO COR1 Images


1
Enhancement and Identification of Faint Features
in STEREO COR1 Images
Shaela I. Jones, Joe Davila
2
Faint Features
  • Unresolved material
  • Not generally visible in individual frames
  • Seen in many coronagraph difference movies,
    including COR1
  • Related to inhomogeneities in slow solar wind?
  • How can we enhance images to reveal moving
    material?

3
Image Differencing Method
4
Height-Time Wedge Integration
Similar methods presented by Sheeley et. al, Dal
Lago et al.
5
CME Example
6
Some Faint Feature Examples
7
Characterizing Faint Outflows
  • Interested in measuring properties like time of
    onset, speed, mass
  • Complicated by low SNR
  • Observer bias more detrimental than for CMEs

8
Radon Transform
  • Picks out linear features in the image
  • Parameters f,r of the lines determine speed and
    start time of event
  • Similar to Hough transform used by CACTus

9
Feature Enhancement Example (CME-related)
10
Analysis Challenges
  • Determining threshold level
  • Spurious detections
  • Limited resolution inherited from the data
  • Currently requires images to be regularly
    arranged in space and time

11
Preliminary Results
12
Preliminary Results
13
Preliminary Results
Event Number Onset Time Speed (km/s)
1 001028 216.0
2 010028 53.5
3 010028 45.2
4 041028 45.2
14
Work in Progress
  • Automate threshold level selection
  • Combine with COR2/HI data
  • Mass estimates
  • 3D motion?
  • Eventually compare to in situ measurements?

15
Summary
  • Accomplishments
  • Enhance outflows to make measurable
  • Developed basic detection/analysis software
  • Future Work
  • Further automate detection software
  • Continue characterization
  • Incorporate data from multiple spacecrafts and
    instruments
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