Canny Algorithm: A New Estimator for Primordial Non-Gaussianities - INSPIRE

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Canny Algorithm: A New Estimator for Primordial Non-Gaussianities

Rebecca J. Danos
(
- McGill U. and
- Manitoba U.
)
,
Andrew R. Frey
(
- Winnipeg U.
)
,
Yi Wang
(
- McGill U.
)

Aug, 2011

4 pages

Published in:

Phys.Rev.D 86 (2012) 043526

e-Print:

1108.2265 [astro-ph.CO]

DOI:

10.1103/PhysRevD.86.043526

View in:

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Abstract: (arXiv)

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.

Note:

4 pages, 4 figures; v2. 5pp, as submitted to PRD; v3. 5pp, minor clarifications and added discussion of negative fNL values

98.80.Es
98.80.-k
non-Gaussianity
cosmic background radiation
data analysis method
bispectrum
power spectrum: scalar
detector

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Figures(4)

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(
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(
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)
,
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(
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)

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(
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)
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)

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)
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)

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