Detection of low-frequency integrated faint radio sources and all-sky monitoring will be a hot topic in Square Kilometer Radio Array (SKA) research, and prior research on data-oriented algorithms is important.
Dr. Shan Hao of the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences and his collaborators conducted a preliminary study on High dynamic range (HDR) Radio source detection algorithm Based on the TIFR GMRT Sky Survey (TGSS) Alternative Data Full Version 1.
The results are published in Astronomy and Computing.
The researchers suggested Angular resolution And the discrimination algorithm based on HDR compression tone mapping and control, which is embedded in a multiscale wavelet framework.
Dr. Shan said, “Our proposed algorithm has certain advantages. It avoids unexpected changes and loss of integrated flux density information in traditional methods, as well as high dynamic information redundancy and error.”
The researchers used tonal and control mapping to simulate the human visual system, adapting the results to display devices by reducing HDR. The radio source was determined by adjusting the Detect Detection Rate, Detection Missing Rate, and False Detection Rate as well as a set of parameters.
At present, researchers are conducting a feasibility study on neural network Ultra-resolution image restoration for radio viewers. In order to achieve satisfactory results for high-resolution data, the algorithm will be optimized and applied to Murchison wide-field array (MWA) data.
H. Shan et al, Wavelet(TM)-based tonal mapping optimization of the embedded fade source detection system in high dynamic range (HDR) radio scenes and large FOV radio scenes, Astronomy and Computing (2022). DOI: 10.1016/j.ascom.2022.100684
Chinese Academy of Sciences
the quote: Researchers Try to Improve Detection of High Dynamic Range and Large Field of View Radio Sources (2023, March 13) Retrieved March 13, 2023 from https://phys.org/news/2023-03-high-dynamic-range-large- field-of-view. html
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