Real-time Streaks Detection in Astronomical Images from the Tomo-e Gozen Camera at Kiso Observatory
| Autor: | CEGARRA, POLO Manuel, YANAGISAWA, Toshifumi, KUROSAKI, Hirohisa, SAKO, Shigeyuki, Tomo-e, Gozen Team |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Popis: | 第10回スペースデブリワークショップ (2022年11月28-30日. 主催: 宇宙航空研究開発機構研究開発部門(JAXA), 宇宙航空研究開発機構調布航空宇宙センター(JAXA)(CAC)), 調布市, 東京 The 10th Space Debris Workshop (November 28-30, 2022. Organizer: Research and Development Directorate, Japan Aerospace Exploration Agency (JAXA), Chofu Aerospace Center, Japan Aerospace Exploration Agency (JAXA)(CAC)), Chofu, Tokyo, Japan In this work we will present the first results of the previously developed streaks detection algorithm in astronomical images, after its installation in the processing pipeline of the Tomo-e Camera of the 1M Telescope at Kiso Observatory. We developed an improved version of this algorithm, now capable to process images in real-time, that is, faster than the image are produced, through an heterogeneous computing paradigm. For the firsts tests, we used a 64 CPU cores with 2 Nvidia RTX A6000 GPUs machine to process half of the Tomo-e camera full frame, which will be installed during September 2022. The system is capable to automatically detect non-catalogued objects in LEO that are imprinted as streaks in astronomical images, down to an apparent magnitude of ~11.3. In this work we will explain the working principle of the detection system, based in a variation of the so-called stacking method, previously developed by some of the authors of the present work. We will also describe the heterogeneous computing architecture capable to reach real-time performance and we will present the results of the first observation campaign that will be carried out after its installation during September 2022. 形態: カラー図版あり Physical characteristics: Original contains color illustrations 資料番号: AA2230027018 |
| Databáze: | OpenAIRE |
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