Improving Gamma-ray Source Search with Image Processing
Improving Gamma-ray Source Search with Image Processing
The analysis of HAWC data is done using a likeihood-based systematic multi-source search procedure utilizing the threeML software package and the HAL Plugin. This approach was inspired by the extended source search described in the Fermi-LAT Extended Source Search Catalog. The pipeline to search for point sources and extended sources within the region of interest (ROI) is described in the recent HAWC papers. This procedure is computationally intensive and often requires multiple days to produce a final model for a region. Often this approach misses fainter sources, which need to be added manually later. This blind search could be complemented by providing a method to seed source locations, which can be assessed and evaluated by likelihood analysis, thereby significantly reducing the computational time and resources spent on finding a model.
Rishi Babu、Palmer Wentworth、Ian Herzog、Dan Salazar、Mehr Un Nisa
天文学遥感技术
Rishi Babu,Palmer Wentworth,Ian Herzog,Dan Salazar,Mehr Un Nisa.Improving Gamma-ray Source Search with Image Processing[EB/OL].(2025-07-14)[2025-07-25].https://arxiv.org/abs/2507.10307.点此复制
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