2 citations · 2 across the 1 of their papers we have counts for
4 papers
Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
Pravin Kumar Natwariya, Kenji Kadota, Atsushi J. Nishizawa
This study investigates the sensitivity of the radio interferometers to identify imprints of spatially inhomogeneous dark matter annihilation signatures in the 21-cm signal during…
Machine Learning Constraints on Dark Matter Annihilation during the Epoch of Reionization: A CNN Analysis of the 21-cm Signal
Atsushi J. Nishizawa, Pravin Kumar Natwariya, Kenji Kadota
We explore the impact of dark matter annihilation on the 21-cm signal during the cosmic dawn and epoch of reionization (EoR). Using modified 21cmFAST simulations and convolutional…
Differentiating Warm Dark Matter Models through 21cm Line Intensity Mapping: A Convolutional Neural Network Approach
Koya Murakami, Kenji Kadota, Atsushi J. Nishizawa +2
We apply the convolutional neural networks (CNNs) to the mock 21cm maps from the post-reionization epoch to show that the cold dark matter and warm dark matter (WDM) model can…
SKA Sensitivity to Sub-GeV Dark Matter Decay: Synchrotron Radio Emissions in White Dwarf Magnetospheres
Kenji Kadota, Shota Kisaka
We investigate the potential of the Square Kilometre Array (SKA) in detecting synchrotron radiation emitted from the decay of sub-GeV dark matter (dark matter with masses below the…