Deep learning approach for identification of H ii regions during reionization in 21-cm observations

  title={Deep learning approach for identification of H ii regions during reionization in 21-cm observations},
  author={M. Bianco and Sambit K. Giri and Ilian T Iliev and Garrelt Mellema},
The upcoming Square Kilometre Array (SKA-Low)will map the distribution of neutral hydrogen during reionization and produce a tremendous amount of 3D tomographic data. These images cubes will be subject to instrumental limitations, such as noise and limited resolution. Here we present SegU-Net, a stable and reliable method for identifying neutral and ionized regions in these images. SegU-Net is a U-Net architecture based convolutional neural network (CNN) for image segmentation. It is capable of… Expand
Reconstructing Cosmic Polarization Rotation with ResUNet-CMB
The ResUNet-CMB convolutional neural network is extended to reconstruct anisotropic cosmic polarization rotation in the presence of gravitational lensing and patchy reionization, and it is shown that the network simultaneously reconstructs all three effects with variance that is lower than that from the standard quadratic estimator nearly matching the performance of an iterative reconstruction method. Expand
SKA-Low Intensity Mapping Pathfinder Updates: Deeper 21 cm Power Spectrum Limits from Improved Analysis Frameworks
The Square Kilometre Array (SKA) is a planned radio interferometer of unprecedented scale that will revolutionize low-frequency radio astronomy when completed. In particular, one of its core scienceExpand


2006b, Monthly Notices
  • Physics Reports,
  • 2019
2018a, Monthly Notices
  • MNRAS Giri S. K.,
  • 2019
  • 2021
An Active Galactic Nucleus Recognition Model based on Deep Neural Network
To understand the cosmic accretion history of supermassive black holes, separating the radiation from active galactic nuclei (AGNs) and star-forming galaxies (SFGs) is critical. However, a reliableExpand
Constraining the state of the intergalactic medium during the Epoch of Reionization using MWA 21-cm signal observations
The Murchison Widefield Array (MWA) team has derived new upper limits on the spherically averaged power spectrum of the 21-cm signal at six redshifts in the range z ≈ 6.5−8.7. We use these upperExpand
Inferring the properties of the sources of reionization using the morphological spectra of the ionized regions
High-redshift 21-cm observations will provide crucial insights into the physical processes of the Epoch of Reionization. Next-generation interferometers such as the Square Kilometer Array will haveExpand
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Removing Astrophysics in 21 cm Maps with Neural Networks
Measuring temperature fluctuations in the 21 cm signal from the epoch of reionization and the cosmic dawn is one of the most promising ways to study the universe at high redshifts. Unfortunately, theExpand
The impact of inhomogeneous subgrid clumping on cosmic reionization – II. Modelling stochasticity
Small-scale density fluctuations can significantly affect reionization, but are typically modelled quite crudely. Unresolved fluctuations in numerical simulations and analytical calculations areExpand