
為了有效處理切倫科夫望遠鏡陣列（IACT）產生的海量數據，本文提出並評估了基於時間聚類的數據量減少（DVR）演算法，該演算法在保留低電平信號像素方面表現出顯著的改進，並在不同的觀測條件下（包括探測器缺陷）表現出穩健性，為 CTAO 等陣列提供了有效的解決方案。


coremsg

針對-iact-數據量減少的系統性評估


針對 IACT 數據量減少的系統性評估


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This research paper presents and evaluates novel data volume reduction (DVR) algorithms for Imaging Air-Cherenkov Telescopes (IACTs), specifically focusing on the upcoming Cherenkov Telescope Array Observatory (CTAO), to efficiently manage and analyze the massive data rates generated by these telescopes.


data-volume-reduction-strategies-for-imaging-air-cherenkov-telescope-arrays-with-a-focus-on-the-cherenkov-telescope-array-observatory


Data Volume Reduction Strategies for Imaging Air-Cherenkov Telescope Arrays with a Focus on the Cherenkov Telescope Array Observatory
