摘要: In radio astronomy, radio frequency interference (RFI) becomes more and more
serious for radio observational facilities. The RFI always influences the
search and study of the interesting astronomical objects. Mitigating the RFI
becomes an essential procedure in any survey data processing.
Five-hundred-meter Aperture Spherical radio Telescope (FAST) is an extremely
sensitive radio telescope. It is necessary to find out an effective and precise
RFI mitigation method for FAST data processing. In this work, we introduce a
method to mitigate the RFI in FAST spectral observation and make a statistics
for the RFI using around 300 hours FAST data. The details are as follows.
Firstly, according to the characteristics of FAST spectra, we propose to use
the ArPLS algorithm for baseline fitting. Our test results show that it has a
good performance. Secondly, we flag the RFI with four strategies, which are to
flag extremely strong RFI, flag long-lasting RFI, flag polarized RFI, and flag
beam-combined RFI, respectively. The test results show that all the RFI above a
preset threshold could be flagged. Thirdly, we make a statistics for the
probabilities of polarized XX and YY RFI in FAST observations. The statistical
results could tell us which frequencies are relatively quiescent. With such
statistical data, we are able to avoid using such frequencies in our spectral
observations. Finally, based on the around 300 hours FAST data, we got an RFI
table, which is the most complete database currently for FAST.