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Inferring cosmic string tension through the neural network prediction of string locations in CMB maps

  • Published:2018-12-20 Issue:4 Volume:483 Page:5179-5187
  • ISSN:0035-8711
  • Container-title:Monthly Notices of the Royal Astronomical Society
  • language:en
  • Short-container-title:

Author:

Ciuca Razvan123,Hernández Oscar F12ORCID

Affiliation:

1. Department of Physics, McGill University, 3600 rue University, Montreal, QC H3A 2T8, Canada

2. Marianopolis College, 4873 Westmount Ave., Westmount, QC H3Y 1X9, Canada

3. School of Computer Science, McGill University, 3480 rue University, Montreal, QC H3A 0E9, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Signal of cosmic strings in cross-correlation of 21-cm redshift and CMB polarization maps;Journal of Cosmology and Astroparticle Physics;2022-11-01

2. The global 21-cm signal of a network of cosmic string wakes;Monthly Notices of the Royal Astronomical Society;2021-09-15

3. Quasinormal modes of dS and AdS black holes: Feedforward neural network method;International Journal of Geometric Methods in Modern Physics;2021-06-11

4. Deep Learning the Morphology of Dark Matter Substructure;The Astrophysical Journal;2020-04-08

5. Information theoretic bounds on cosmic string detection in CMB maps with noise;Monthly Notices of the Royal Astronomical Society;2019-12-18
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