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arXiv 1108.2265astro-ph.COhep-phhep-th
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Canny算法:一种新的原始非高斯性估计

Canny Algorithm: A New Estimator for Primordial Non-Gaussianities

Rebecca J. Danos, Andrew R. Frey, Yi Wang

摘要:

我们利用Canny边缘检测算法作为原始非高斯性的估计。在模拟天空补丁的窗口大小为57度和多极矩$l$高达1024的初步测试中,我们发现一个$3σ$区别与本地非高斯$f_{NL}=350$(或$f_{NL}=-700$)和高斯地图之间的地图。我们提出的证据表明,高分辨率CMB的研究将大大提高敏感性的Canny算法的非高斯,使其成为一个有前途的技术来估计原始的非高斯。

英文摘要:

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 $3σ$ 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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