IQRM: real-time adaptive RFI masking for radio transient and pulsar searches
IQRM: real-time adaptive RFI masking for radio transient and pulsar searches
复制标题
IQRM：用于无线电瞬变和脉冲星搜索的实时自适应 RFI 掩蔽
DOI：
10.1093/mnras/stab3493
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发表时间：
2022
影响因子：
4.8
通讯作者：
Morello V
中科院分区：
文献类型：
--
作者：
Morello V
在寻找时间域数据中的短时间尺度天体物理瞬变时，射频干扰(RFI)会导致大量的假阳性候选，如果不正确地消除，则会导致灵敏度的显著降低。这里，我们提出了一种直接从短持续时间(∼1 S)数据块推断时变频率掩码的算法：该方法包括计算与射频干扰的存在很好地相关的谱统计量，然后在得到的值中找出较高的离群值。对于后一种任务，我们提出了一种非参数的、对序列数据中的趋势具有鲁棒性的孤立点检测算法--四分位值域间移算法(IQRM)。这种方法不需要训练，原则上可以适应任何望远镜和RFI环境；它的效率在来自Meerkat和Lovell 76-m射电望远镜的数据中得到了证明。IQRM的速度足以用于流搜索，并已集成到MeerTRAP实时瞬时搜索流水线中。还提供了开放源码的通用代码和C++实现。
In a search for short-time-scale astrophysical transients in time-domain data, radio-frequency interference (RFI) causes both large quantities of false positive candidates and a significant reduction in sensitivity if not correctly mitigated. Here, we propose an algorithm that infers a time-variable frequency channel mask directly from short-duration (∼1 s) data blocks: the method consists of computing a spectral statistic that correlates well with the presence of RFI, and then finding high outliers among the resulting values. For the latter task, we propose an outlier detection algorithm called Inter-Quartile Range Mitigation (IQRM), which is both non-parametric and robust to the presence of a trend in sequential data. The method requires no training and can, in principle, adapt to any telescope and RFI environment; its efficiency is shown on data from both the MeerKAT and Lovell 76-m radio telescopes. IQRM is fast enough to be used in a streaming search and has been integrated into the MeerTRAP real-time transient search pipeline. Open-sourcepythonandC++implementations are also provided.