We use wavelet and curvelet transforms to extract signals of cosmic strings from simulated
cosmic microwave background (CMB) temperature anisotropy maps, and to study the limits …

The clustering of local extrema will be exploited to examine Gaussianity, asymmetry, and the
footprint of the cosmic-string network on the CMB observed by Planck. The number density …

By actively distorting the cosmic microwave background (CMB) over our past light cone,
cosmic strings are unavoidable sources of non-Gaussianity. Developing optimal estimators …

Cosmic strings are a well-motivated extension to the standard cosmological model and
could induce a subdominant component in the anisotropies of the cosmic microwave …

We propose a multiscale edge-detection algorithm to search for the Gott–Kaiser–Stebbins
imprints of a cosmic string (CS) network on the cosmic microwave background (CMB) …

We explore the use of random forest and gradient boosting, two powerful tree-based
machine learning algorithms, for the detection of cosmic strings in maps of the cosmic …

We investigate the statistical anisotropy and Gaussianity of temperature fluctuations of
Cosmic Microwave Background (CMB) radiation data from the Wilkinson Microwave …

Focusing on the redshift space observations with plane-parallel approximation and relying
on the rotational dependency of the general definition of excursion sets, we introduce the so …

Focusing on the redshift space observations with plane-parallel approximation and relying
on the rotational dependency of the general definition of excursion sets, we introduce the so …

In previous work, we constructed a convolutional neural network used to estimate the
location of cosmic strings in simulated cosmic microwave background temperature …