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arXiv · 2205.03046

Simulating high-time resolution radio-telescope observations

Rui Luo·George Hobbs·Suk Yee Yong·Andrew Zic·Lawrence Toomey·Shi Dai·Alex Dunning·Di Li·Tommy Marshman·Chen Wang·Pei Wang·Shuangqiang Wang·Songbo Zhang
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Abstract

We describe a new software package for simulating channelised, high-time resolution data streams from radio telescopes. The software simulates data from the telescope and observing system taking into account the observation strategy, receiver system and digitisation. The signatures of pulsars, fast radio bursts and flare stars are modelled, including frequency-dependent effects such as scattering and scintillation. We also simulate more generic signals using spline curves and images. Models of radio frequency interference include signals from satellites, terrestrial transmitters and impulsive, broadband signals. The simulated signals can also be injected into real data sets. Uses of this software include the production of machine learning training data sets, development and testing of new algorithms to search for anomalous patterns and to characterise processing pipelines.

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Rui Luo, George Hobbs, Suk Yee Yong, Andrew Zic, Lawrence Toomey, Shi Dai, Alex Dunning, Di Li, Tommy Marshman, Chen Wang, Pei Wang, Shuangqiang Wang, Songbo Zhang. 2022-05-06. Simulating high-time resolution radio-telescope observations. https://doi.org/10.1093/mnras/stac1168

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