AURORA: A High Performance DAQ Framework for Next-Generation Rare-Event Search Experiments
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910145718517760 |
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| author | Guo, Yihan Shang, Xiaofeng Cai, Chang Wu, Weihao Chen, Xun |
| author_facet | Guo, Yihan Shang, Xiaofeng Cai, Chang Wu, Weihao Chen, Xun |
| contents | The upcoming PandaX-xT experiment will deploy over 3,000 readout channels operating at a 500 MSa/s sampling rate, generating a sustained data bandwidth up to 1.6 GB/s. To meet this demanding requirement, we present AURORA, a high-performance, distributed data acquisition (DAQ) framework designed for scalability, low latency, and efficient resource utilization. Built on a modular architecture and leveraging modern I/O and networking technologies, including multi-level buffering, deferred and asynchronous processing, AURORA achieves a projected throughput of over 3 GB/s on the aggregation node in benchmark tests. While developed to support PandaX-xT, the framework is experiment-agnostic and readily adaptable to other large-scale particle and nuclear physics experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_17218 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | AURORA: A High Performance DAQ Framework for Next-Generation Rare-Event Search Experiments Guo, Yihan Shang, Xiaofeng Cai, Chang Wu, Weihao Chen, Xun Instrumentation and Detectors High Energy Physics - Experiment The upcoming PandaX-xT experiment will deploy over 3,000 readout channels operating at a 500 MSa/s sampling rate, generating a sustained data bandwidth up to 1.6 GB/s. To meet this demanding requirement, we present AURORA, a high-performance, distributed data acquisition (DAQ) framework designed for scalability, low latency, and efficient resource utilization. Built on a modular architecture and leveraging modern I/O and networking technologies, including multi-level buffering, deferred and asynchronous processing, AURORA achieves a projected throughput of over 3 GB/s on the aggregation node in benchmark tests. While developed to support PandaX-xT, the framework is experiment-agnostic and readily adaptable to other large-scale particle and nuclear physics experiments. |
| title | AURORA: A High Performance DAQ Framework for Next-Generation Rare-Event Search Experiments |
| topic | Instrumentation and Detectors High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2604.17218 |