LHC交叉率下的航迹重建专用处理机
A Specialized Processor for Track Reconstruction at the LHC Crossing Rate
摘要：
我们提出了一个专门的处理器，能够精确地重建事件与数百个带电粒子轨道在像素探测器在40 MHz的R&D研究的结果，从而适合于处理大型强子对撞机事件在全交叉频率。为此，我们设计和测试了一个大规模并行模式识别算法，灵感来自于大脑在自然界中对视觉图像的处理。我们发现，高品质的跟踪在大型检测器是可能的子$μ$的延迟时，这种算法是在现代，高速，高带宽的FPGA设备实现。这开启了使轨道重建作为探测器读出的一部分透明地发生的可能性。
英文摘要：
We present the results of an R&D study of a specialized processor capable of precisely reconstructing events with hundreds of charged-particle tracks in pixel detectors at 40 MHz, thus suitable for processing LHC events at the full crossing frequency. For this purpose we design and test a massively parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature. We find that high-quality tracking in large detectors is possible with sub-$μ$s latencies when this algorithm is implemented in modern, high-speed, high-bandwidth FPGA devices. This opens a possibility of making track reconstruction happen transparently as part of the detector readout.
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