Singular spectrum analysis of time series data from low-frequency radiometers, with an application to SITARA data
Understanding the temporal characteristics of data from low-frequency radio telescopes is of importance in devising suitable calibration strategies. Application of time-series analysis techniques to data from radio telescopes can reveal a wealth of information that can aid in calibration. In this pa...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2023
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| Online Access: | http://purl.org/au-research/grants/arc/FT180100321 http://hdl.handle.net/20.500.11937/96489 |