Canny Algorithm: A New Estimator for Primordial Non-Gaussianities

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
Hauptverfasser: Danos, Rebecca J, Frey, Andrew R, Wang, Yi
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Sprache:eng
Schlagworte:
Algorithms
Computer simulation
Edge detection
Multipoles
Physics - Cosmology and Nongalactic Astrophysics
Physics - High Energy Physics - Phenomenology
Physics - High Energy Physics - Theory
Sensitivity enhancement
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Wang, Yi
description 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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subjects Algorithms
Computer simulation
Edge detection
Multipoles
Physics - Cosmology and Nongalactic Astrophysics
Physics - High Energy Physics - Phenomenology
Physics - High Energy Physics - Theory
Sensitivity enhancement
title Canny Algorithm: A New Estimator for Primordial Non-Gaussianities
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