# Planck Limits on Cosmic String Tension Using Machine Learning

@inproceedings{Torki2021PlanckLO, title={Planck Limits on Cosmic String Tension Using Machine Learning}, author={Maryam Torki and H. Hajizadeh and Marzieh Farhang and Alireza Vafaei Sadr and S. M. S. Movahed}, year={2021} }

We develop two parallel machine-learning pipelines to estimate the contribution of cosmic strings (CSs), conveniently encoded in their tension (Gμ), to the anisotropies of the cosmic microwave background radiation observed by 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… Expand

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SHOWING 1-10 OF 14 REFERENCES

Dark Matter Distribution Induced by a Cosmic String Wake in the Nonlinear Regime

- Physics
- 2018

We study the distribution of dark matter in the nonlinear regime in a model in which the primordial fluctuations include, in addition to the dominant primordial Gaussian fluctuations generated by the… Expand

Cosmic Strings and Other Topological Defects

- Physics
- 1985

Preface 1. Introduction 2. Phase transitions in the early universe 3. Topological defects 4. String field theory 5. Superconducting strings 6. String dynamics 7. String gravity 8. String interactions… Expand

Fundamentals of Artificial Neural Networks

- Computer Science
- Proceedings of the IEEE
- 1996

Fundamentals of Artificial Neural Networks provides the first systematic account of artificial neural network paradigms by identifying clearly the fundamental concepts and major methodologies underlying most of the current theory and practice employed by neural network researchers. Expand

Artificial Neural Networks

- Mathematics
- Lecture Notes in Computer Science
- 1995

Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology… Expand

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

- 1998

Automatic computation of surface correspondence via harmonic map is an active research field in computer vision, computer graphics and computational geometry. It may help document and understand… Expand

Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges

- Mathematics
- 2000

Abstract : It is widely believed that to efficiently represent an otherwise smooth object with discontinuities along edges, one must use an adaptive representation that in some sense 'tracks' the… Expand

2016, in Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

- 2016

Fundamentals of artificial neural networks. MIT press

- 1995

2016, in 12th {USENIX} symposium on

- 2016