Parameter Inference for Weak Lensing using Gaussian Processes and MOPED

@article{Mootoovaloo2020ParameterIF,
  title={Parameter Inference for Weak Lensing using Gaussian Processes and MOPED},
  author={A. Mootoovaloo and A. Heavens and A. Jaffe and F. Leclercq},
  journal={arXiv: Cosmology and Nongalactic Astrophysics},
  year={2020}
}
  • A. Mootoovaloo, A. Heavens, +1 author F. Leclercq
  • Published 2020
  • Physics
  • arXiv: Cosmology and Nongalactic Astrophysics
  • In this paper, we propose a Gaussian Process (GP) emulator for the calculation of a) tomographic weak lensing band-power spectra, and b) coefficients of summary data massively compressed with the MOPED algorithm. In the former case cosmological parameter inference is accelerated by a factor of $\sim 10$-$30$ compared to explicit calls to the Boltzmann solver CLASS when applied to KiDS-450 weak lensing data. Much larger gains will come with future data, where with MOPED compression, the speed up… CONTINUE READING

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