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Paper IPM / P / 15027  


Abstract:  
We propose a multiscale edgedetection algorithm to search for the GottKaiserStebbins imprints of a cosmic string (CS) network on the Cosmic Microwave Background (CMB) anisotropies. Curvelet decomposition and extended Canny algorithm are used to enhance the
string detectability. Various statistical tools are then applied to quantify the deviation of CMB maps having a cosmic string contribution with respect to pure Gaussian anisotropies of inflationary origin. These statistical measures include the onepoint probability density function, the weighted twopoint correlation function (TPCF) of the anisotropies, the unweighted TPCF
of the peaks and of the upcrossing map, as well as their
crosscorrelation.
We use this algorithm on a hundred of
simulated NambuGoto CMB flat sky maps, covering approximately 10% of the sky, and for different string
tensions Gμ. On noiseless sky maps with an angular
resolution of 0.9′, we show that our pipeline detects CSs with Gμ as low as Gμ >~4.3×10^{−10}. At the same resolution, but with a noise level typical to a CMBS4 phase II experiment, the detection threshold would be to Gμ >~1.2 ×10^{−7}.
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