Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.20640 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913055363825664 |
|---|---|
| author | Ding, Jialang Lin, Guanhong Zhou, Dejia Zhang, Jianli Duan, Ran Liu, Fei Ma, Xiaoyun Zhang, Jie Liu, Meng Miao, Chenchen Liang, Yuan Liu, Liaoyuan Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Wang, Zerui Liu, Menquan Guo, Meng Li, Di Wang, Pei Wang, Xuanyu Yan, Xiaohui |
| author_facet | Ding, Jialang Lin, Guanhong Zhou, Dejia Zhang, Jianli Duan, Ran Liu, Fei Ma, Xiaoyun Zhang, Jie Liu, Meng Miao, Chenchen Liang, Yuan Liu, Liaoyuan Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Wang, Zerui Liu, Menquan Guo, Meng Li, Di Wang, Pei Wang, Xuanyu Yan, Xiaohui |
| contents | We present a Python/CuPy FX software correlator for small radio interferometer arrays and evaluate it on QUEST (Qilu University Explorer Survey Telescope). The system combines multi-threaded data ingest, pinned-memory host-device transfers, GPU-accelerated correlation, Polyphase Filter Bank channelization, MAD-based RFI flagging, and delay/phase calibration in a single workflow aimed at array commissioning. On a single NVIDIA RTX 4090D GPU, the implementation reaches a peak throughput of 1.51 GB/s, which is sufficient for real-time operation in the four-antenna mode tested here. After calibration, the visibility phase across a clean 1.32-1.38 GHz band is flattened to a residual scatter of a few degrees. Using the calibrated visibilities, we form a four-antenna synthesis image of Cassiopeia A; the CLEANed image recovers a compact source at the phase center and reduces image-domain background fluctuations from order 0.1 to a few 0.01 Jy/beam. These results indicate that the software is suitable for small-array commissioning and initial synthesis imaging on QUEST. A GNSS-based beam measurement is included as a supporting commissioning check. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_20640 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Python/CuPy Software Correlator for QUEST: Real-Time Performance and Initial Imaging Ding, Jialang Lin, Guanhong Zhou, Dejia Zhang, Jianli Duan, Ran Liu, Fei Ma, Xiaoyun Zhang, Jie Liu, Meng Miao, Chenchen Liang, Yuan Liu, Liaoyuan Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Wang, Zerui Liu, Menquan Guo, Meng Li, Di Wang, Pei Wang, Xuanyu Yan, Xiaohui Instrumentation and Methods for Astrophysics We present a Python/CuPy FX software correlator for small radio interferometer arrays and evaluate it on QUEST (Qilu University Explorer Survey Telescope). The system combines multi-threaded data ingest, pinned-memory host-device transfers, GPU-accelerated correlation, Polyphase Filter Bank channelization, MAD-based RFI flagging, and delay/phase calibration in a single workflow aimed at array commissioning. On a single NVIDIA RTX 4090D GPU, the implementation reaches a peak throughput of 1.51 GB/s, which is sufficient for real-time operation in the four-antenna mode tested here. After calibration, the visibility phase across a clean 1.32-1.38 GHz band is flattened to a residual scatter of a few degrees. Using the calibrated visibilities, we form a four-antenna synthesis image of Cassiopeia A; the CLEANed image recovers a compact source at the phase center and reduces image-domain background fluctuations from order 0.1 to a few 0.01 Jy/beam. These results indicate that the software is suitable for small-array commissioning and initial synthesis imaging on QUEST. A GNSS-based beam measurement is included as a supporting commissioning check. |
| title | A Python/CuPy Software Correlator for QUEST: Real-Time Performance and Initial Imaging |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2604.20640 |