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Ionospheric scintillation indexes for LOFAR single station observation mode
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<pre>LOFAR single station observation mode is often used for ionospheric
studies. Observations of A-Team (the brightest radio sources CasA, CygA,
TauA) enables measure of ionospheric scintillation. Relatively low
brightness of the radio sources compared to signals coming from the Earth
and originating from man-made activity (in particular RFI) can make the
analysis difficult. In order to fully utilize the data, it is necessary to
apply methods that eliminate interference. Combination of broadband
observations and careful selection of observation frequencies should also
improve the results. Another problem is the frequency (very low compared
to GPS) which requires very careful data analysis. We observe large
structures in relatively quiet conditions and low velocity of ionospheric
drift resulting in low frequency scintillations compared to GPS.
Amplitude observations conducted as a standard observations suggest using
the S4 index to monitor the state of the ionosphere. In this paper, we
present methods for calculating the S4 index for LOFAR data that
eliminates the obstacles mentioned above. We compare different methods
that resolve the problem and present the results.
Signal spectra were also examined in detail to explore the possibility of
using them to eliminate interference effects. The analyzes were carried
out on the basis of data collected during the last 3 years at the PL610
station in Borowiec.</pre>
Title: Ionospheric scintillation indexes for LOFAR single station observation mode
Description:
<pre>LOFAR single station observation mode is often used for ionospheric
studies.
Observations of A-Team (the brightest radio sources CasA, CygA,
TauA) enables measure of ionospheric scintillation.
Relatively low
brightness of the radio sources compared to signals coming from the Earth
and originating from man-made activity (in particular RFI) can make the
analysis difficult.
In order to fully utilize the data, it is necessary to
apply methods that eliminate interference.
Combination of broadband
observations and careful selection of observation frequencies should also
improve the results.
Another problem is the frequency (very low compared
to GPS) which requires very careful data analysis.
We observe large
structures in relatively quiet conditions and low velocity of ionospheric
drift resulting in low frequency scintillations compared to GPS.
Amplitude observations conducted as a standard observations suggest using
the S4 index to monitor the state of the ionosphere.
In this paper, we
present methods for calculating the S4 index for LOFAR data that
eliminates the obstacles mentioned above.
We compare different methods
that resolve the problem and present the results.
Signal spectra were also examined in detail to explore the possibility of
using them to eliminate interference effects.
The analyzes were carried
out on the basis of data collected during the last 3 years at the PL610
station in Borowiec.
</pre>.
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