The application of À Trous wave filtering and Monte Carlo analysis on secis 2001 solar eclipse observations

A. C. Katsiyannis, F. Murtagh, F. P. Keenan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Eight thousand images of the solar corona were captured during the June 2001 total solar eclipse. New software for the alignment of the images and an automated technique for detecting intensity oscillations using multi-scale wavelet analysis were developed. Large areas of the images covered by the Moon and the upper corona were scanned for oscillations and the statistical properties of the atmospheric effects were determined. The à Trous wavelet transform was used for noise reduction and Monte Carlo analysis as a significance test of the detections. The effectiveness of those techniques is discussed in detail.

Original languageEnglish
Pages (from-to)323-338
Number of pages16
JournalSolar Physics
Volume228
Issue number1-2
DOIs
Publication statusPublished - 1 May 2005
Externally publishedYes

Fingerprint

solar eclipses
Monte Carlo analysis
solar eclipse
wavelet analysis
corona
oscillation
atmospheric effects
oscillations
solar corona
moon
noise reduction
coronas
wavelet
Moon
transform
alignment
computer programs
software

Cite this

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The application of À Trous wave filtering and Monte Carlo analysis on secis 2001 solar eclipse observations. / Katsiyannis, A. C.; Murtagh, F.; Keenan, F. P.

In: Solar Physics, Vol. 228, No. 1-2, 01.05.2005, p. 323-338.

Research output: Contribution to journalArticle

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AB - Eight thousand images of the solar corona were captured during the June 2001 total solar eclipse. New software for the alignment of the images and an automated technique for detecting intensity oscillations using multi-scale wavelet analysis were developed. Large areas of the images covered by the Moon and the upper corona were scanned for oscillations and the statistical properties of the atmospheric effects were determined. The à Trous wavelet transform was used for noise reduction and Monte Carlo analysis as a significance test of the detections. The effectiveness of those techniques is discussed in detail.

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