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Hot and cold spots counts as probes of non-Gaussianity in the CMB

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arxiv 1206.0436 v1 pith:NEFKV2PI submitted 2012-06-03 astro-ph.CO

classification astro-ph.CO
keywords non-gaussianmodelsnon-gaussianitytemperaturecoldfluctuationkindmaps
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abstract

We introduce the numbers of hot and cold spots, $n_h$ and $n_c$, of excursion sets of the CMB temperature anisotropy maps as statistical observables that can discriminate different non-Gaussian models. We numerically compute them from simulations of non-Gaussian CMB temperature fluctuation maps. The first kind of non-Gaussian model we study is the local type primordial non-Gaussianity. The second kind of models have some specific form of the probability distribution function from which the temperature fluctuation value at each pixel is drawn, obtained using HEALPIX. We find the characteristic non-Gaussian deviation shapes of $n_h$ and $n_c$, which is distinct for each of the models under consideration. We further demonstrate that $n_h$ and $n_c$ carry additional information compared to the genus, which is just their linear combination, making them valuable additions to the Minkowski Functionals in constraining non-Gaussianity.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. On the statistical nature of Betti numbers and Euler characteristic of smooth random fields

    math.ST 2025-07 reject novelty 5.0 of 10

    Betti numbers, Euler characteristic and their sum for excursion sets are expressed in terms of Binomial coefficients of a topological basis, predicting Gaussian statistics except at high thresholds.

  2. Stochastic Homology of Gaussian vs. non-Gaussian Random Fields: Graphs towards Betti Numbers and Persistence Diagrams

    astro-ph.CO 2019-08 conditional novelty 5.0 of 10

    The paper introduces a Morse-graph formalism that yields approximate, one-parameter-fitted formulas for expected Betti numbers of 2D Gaussian random fields and shows these homology statistics are sensitive to local no...

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