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	<title>totality &#8211; Science</title>
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		<title>Consumer Video Yields Quantitative Framework for Eclipse Shadow Bands</title>
		<link>https://scienmag.com/consumer-video-yields-quantitative-framework-for-eclipse-shadow-bands/</link>
		
		<dc:creator><![CDATA[Grant Pearson]]></dc:creator>
		<pubDate>Mon, 26 Oct 2026 16:23:31 +0000</pubDate>
				<category><![CDATA[Space]]></category>
		<category><![CDATA[atmospheric scintillation]]></category>
		<category><![CDATA[atmospheric scintillation and eclipse shadow bands]]></category>
		<category><![CDATA[consumer cameras]]></category>
		<category><![CDATA[consumer video eclipse shadow band measurement]]></category>
		<category><![CDATA[eclipse shadow band velocity and spectral density]]></category>
		<category><![CDATA[eclipse shadow bands]]></category>
		<category><![CDATA[Experimental Astronomy]]></category>
		<category><![CDATA[ground-based video analysis of eclipse phenomena]]></category>
		<category><![CDATA[image processing]]></category>
		<category><![CDATA[image processing framework for eclipse patterns]]></category>
		<category><![CDATA[multiple shadow band modes during solar eclipse]]></category>
		<category><![CDATA[observational evidence for eclipse shadow band theories]]></category>
		<category><![CDATA[partial eclipse]]></category>
		<category><![CDATA[persistence of shadow bands post-totality]]></category>
		<category><![CDATA[power spectral density]]></category>
		<category><![CDATA[Quantitative]]></category>
		<category><![CDATA[quantitative analysis of eclipse shadow bands]]></category>
		<category><![CDATA[shadow band prominence and orientation analysis]]></category>
		<category><![CDATA[solar eclipse]]></category>
		<category><![CDATA[solar eclipse shadow bands]]></category>
		<category><![CDATA[temporal rotation of eclipse shadow bands]]></category>
		<category><![CDATA[third contact]]></category>
		<category><![CDATA[totality]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=341351</guid>

					<description><![CDATA[A new image-processing framework quantifies eclipse shadow bands from consumer-grade video, detecting statistically significant band activity that persists more than 10 minutes after totality and supporting the hypothesis that bands may occur outside the path of totality.]]></description>
										<content:encoded><![CDATA[<p>Eclipse shadow bands, the faint rippling patterns of light and dark that can sweep across the ground near solar eclipse totality, can now be measured quantitatively from ordinary video. A study published in Experimental Astronomy by Joseph Conti presents a reusable image-processing framework that turns ground-based video recordings captured with consumer-grade cameras into quantitative characterizations of these transient patterns. The method quantifies band prominence, orientation, separation, velocity, and power spectral density.</p>
<p>Applied to two eclipse datasets, the framework detected statistically significant shadow band activity during eclipse windows consistent with atmospheric scintillation theory. The analysis went beyond simple detection. It identified statistically significant shadow bands persisting for more than 10 minutes after third contact, the moment (C3) when totality ends, under conditions of high partial solar obscuration. It also documented temporal rotation of shadow band orientation over the course of an event.</p>
<p>The analysis further identified simultaneous shadow band modes with distinct orientations and velocities, indicating that multiple band patterns with different geometries and motions can coexist in the same recordings.</p>
<p>The persistence of shadow bands well after C3, under high partial solar obscuration, provides observational evidence supporting the hypothesis that, under favorable atmospheric conditions, shadow bands may also occur outside the path of totality, in regions experiencing only a partial eclipse.</p>
<p>The study is a methods paper, and its claims rest on the two eclipse datasets analyzed rather than a broad survey of events. The abstract does not report the geographic locations, camera configurations, or atmospheric conditions of the recordings, and the statistical significance statements apply to the detected band activity within the analyzed windows.</p>
<p>Nevertheless, the results demonstrate that consumer-grade video recordings can support quantitative characterization of detailed and dynamic shadow band behavior. The author positions the framework as a reusable tool for future observational and atmospheric studies of the phenomenon.</p>
<p>For now, the framework stands as a validated pipeline for extracting band prominence, geometry, motion, and spectral content from video, and as evidence that shadow band activity can be measured systematically with widely available equipment.</p>
<p><strong>Subject of Research:</strong> Quantitative image-processing analysis of eclipse shadow bands using consumer-grade video recordings</p>
<p><strong>Article Title:</strong> A quantitative image-processing framework for eclipse shadow band analysis</p>
<p><strong>Article References:</strong> Conti, J. (2026). A quantitative image-processing framework for eclipse shadow band analysis. <em>Experimental Astronomy, 62</em>(3), Article 25. <a href="https://doi.org/10.1007/s10686-026-10086-4" rel="noopener noreferrer">https://doi.org/10.1007/s10686-026-10086-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10686-026-10086-4" rel="noopener noreferrer">10.1007/s10686-026-10086-4</a></p>
<p><strong>Keywords:</strong> eclipse shadow bands, image processing, atmospheric scintillation, solar eclipse, totality, third contact, consumer cameras, power spectral density, partial eclipse, Experimental Astronomy, quantitative, image-processing</p>
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