Planck Limits on Cosmic String Tension Using Machine Learning

Abstract

We develop two parallel machine-learning pipelines to estimate the contribution of cosmic strings (CSs), conveniently encoded in their tension ($G\mu$), to the anisotropies of the cosmic microwave background radiation observed by {\it Planck}. The first approach is tree-based and feeds on certain map features derived by image processing and statistical tools. The second uses convolutional neural network with the goal to explore possible non-trivial features of the CS imprints. The two pipelines are trained on {\it Planck} simulations and when applied to {\it Planck} \texttt{SMICA} map yield the $3\sigma$ upper bound of $G\mu \lesssim 8.6\times 10^{-7}$. We also train and apply the pipelines to make forecasts for futuristic CMB-S4-like surveys and conservatively find their minimum detectable tension to be $G{\mu }_{\min }\sim 1.9\times 10^{-7}$.

arXiv comment11 pages, 7 figures

References in corpus (21)

• Statistical topological data analysis using persistence landscapes
• Stochastic gravitational wave background from smoothed cosmic string loops
• Power Spectra in Global Defect Theories of Cosmic Structure Formation
• Fitting CMB data with cosmic strings and inflation
• New limits on cosmic strings from gravitational wave observation
• Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
• CMB Anisotropy Induced by Cosmic Strings on Angular Scales $>15^{\prime }$
• COBE vs Cosmic Strings: An Analytical Model
• Non Gaussianity and Minkowski Functionals: forecasts for Planck
• Cosmic strings and their induced non-Gaussianities in the cosmic microwave background
• Small Scale Microwave Background Fluctuations from Cosmic Strings
• All sky CMB map from cosmic strings integrated Sachs-Wolfe effect
• Wavelet-Bayesian inference of cosmic strings embedded in the cosmic microwave background
• A Bayesian Framework for Cosmic String Searches in CMB Maps
• Multi-Scale Pipeline for the Search of String-Induced CMB Anisotropies
• Clustering of Local Extrema in Planck CMB maps
• Beyond the Small-Angle Approximation For MBR Anisotropy from Seeds
• Cosmic String Detection with Tree-Based Machine Learning
• Peak-peak correlations in the cosmic background radiation from cosmic strings
• Information Theoretic Bounds on Cosmic String Detection in CMB Maps with Noise
• Ionization from Cosmic Strings at Cosmic Dawn

Cited by in corpus (4)

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• Cosmic Strings-induced CMB anisotropies in light of Weighted Morphology