Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2507.10307 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866912481658535936 |
|---|---|
| author | Babu, Rishi Wentworth, Palmer Herzog, Ian Salazar, Dan Nisa, Mehr Un |
| author_facet | Babu, Rishi Wentworth, Palmer Herzog, Ian Salazar, Dan Nisa, Mehr Un |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_10307 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving Gamma-ray Source Search with Image Processing Babu, Rishi Wentworth, Palmer Herzog, Ian Salazar, Dan Nisa, Mehr Un High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics 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. |
| title | Improving Gamma-ray Source Search with Image Processing |
| topic | High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2507.10307 |