Canny Algorithm: A New Estimator for Primordial Non-Gaussianities
We utilize the Canny edge detection algorithm as an estimator for primordial non-Gaussianities. In preliminary tests on simulated sky patches with a window size of 57 degrees and multipole moments \(l\) up to 1024, we find a \(3\sigma\) distinction between maps with local non-Gaussianity \(f_{NL}=35...
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Veröffentlicht in: | arXiv.org 2012-03 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We utilize the Canny edge detection algorithm as an estimator for primordial non-Gaussianities. In preliminary tests on simulated sky patches with a window size of 57 degrees and multipole moments \(l\) up to 1024, we find a \(3\sigma\) distinction between maps with local non-Gaussianity \(f_{NL}=350\) (or \(f_{NL}=-700\)) and Gaussian maps. We present evidence that high resolution CMB studies will strongly enhance the sensitivity of the Canny algorithm to non-Gaussianity, making it a promising technique to estimate primordial non-Gaussianity. |
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ISSN: | 2331-8422 |
DOI: | 10.48550/arxiv.1108.2265 |