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Radio frequency interference identification using eigenvalue decomposition for multi-beam observations
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DOI：10.1017/pasa.2025.10139.png)
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摘要
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With the installation of next-generation phased array feed (PAF) receivers on radio telescopes; there is an urgent need to develop effective and computationally efficient radio frequency interference (RFI) mitigation methods for large-scale surveys. Here; we present a new RFI mitigation package; called mRAID (multi-beam RAdio frequency Interference Detector); which uses the eigenvalue decomposition algorithm to identify RFI in cross-correlation matrix (CCM) of data recorded by multiple beams. When applied to high time-resolution pulsar search data from the Five-hundred-meter Aperture Spherical Radio Telescope (FAST); mRAID demonstrates excellent performance in identifying RFI over short timescales; thereby enhancing the efficiency of pulsar and fast radio burst (FRB) searches. Since the computation of the CCM and the eigenvalue decomposition for each time sub-integration and frequency channel are independent; the process is fully parallelisable. As a result; mRAID offers a significant computational advantage over commonly used RFI detection methods.
Keyword:
astronomical instrumentation: radio telescopes
astronomical techniques: time domain astronomy
methods: data analysis
pulsars: general
transients: fast radio bursts
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