Simulating a full-sky high resolution Galactic synchrotron spectral index map using neural networks
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Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Monthly Notices of the Royal Astronomical Society
Abstract
We present a model for the full-sky diffuse Galactic synchrotron spectral index with an appropriate level of spatial structure for a resolution of 56 arcmin (to match the resolution of the Haslam 408 MHz data). Observational data at 408 MHz and 23 GHz have been used to provide spectral indices at a resolution of 5 degrees. In this work, we make use of convolutional neural networks to provide a realistic proxy for the higher resolution information, in place of the genuine structure. Our deep learning algorithm has been trained using 14.4 arcmin observational data from the 1.4 GHz Parkes radio continuum survey. We compare synchrotron emission maps constructed by extrapolating the Haslam data using various spectral index maps, of different angular resolution, with the Global Sky Model.
Description
Keywords
Cosmology, Diffuse radiation, Methods, Statistical, radio continuum
Citation
Irfan, M.O., 2023. Simulating a full-sky high resolution Galactic synchrotron spectral index map using neural networks. Monthly Notices of the Royal Astronomical Society, 520(4), pp.6070-6082.