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 peculiar velocity

Reconstructing the local density field with combined convolutional and point cloud architecture

Barthe-Gold, Baptiste, Nguyen, Nhat-Minh, Thiele, Leander

arXiv.org Machine Learning

We construct a neural network to perform regression on the local dark-matter density field given line-of-sight peculiar velocities of dark-matter halos, biased tracers of the dark matter field. Our architecture combines a convolutional U-Net with a point-cloud DeepSets. This combination enables efficient use of small-scale information and improves reconstruction quality relative to a U-Net-only approach. Specifically, our hybrid network recovers both clustering amplitudes and phases better than the U-Net on small scales.

  density field, peculiar velocity, reconstruction, (15 more...)
2510.08573
  Country:
  Genre: Research Report (0.64)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.51)

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