| Budget Amount *help |
¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2019: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2018: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2017: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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| Outline of Final Research Achievements |
The Associative Memory (AM) approach has been developed and used in HEP experiments for online track-finding with silicon detectors. We intend to extend the AM approach to tracking with a drift-tube detector, aiming at the online muon reconstruction with the ATLAS Monitored Drift-Tube (MDT) detector for the Phase-II Level-0 muon trigger system for High-Luminosity Large Hadron Collider. Based on a system-level design of electronics, an optimal algorithm chain has been developed to minimise the latency for the track segment finding. Toward the actual implementation of the Phase-II muon trigger system, among various unique requirements for the HEP trigger systems, we developed a maximally-automated and self-driven control scheme. We have implemented our ideas in the Phase-II ATLAS L0 muon trigger electronics system with the Thin Gap Chambers (TGC). Furthermore, the method is widely applicable, and the knowledge and experience can be shared with other FPGA-based electronics systems.
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