A multi-telescope comparative study of ionospheric phase fluctuations, TEC gradients, and scintillation is used to assess impacts on calibration and forecast effects for SKA-Low and SKA-Mid.
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4 Pith papers cite this work, alongside 141 external citations. Polarity classification is still indexing.
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SKA-Low can characterise mid-latitude ionospheric structure via multiple interferometric phase-screen and scintillation methods, with forward modelling linking observables to physical plasma conditions.
SKA's sensitivity, bandwidth and frequency coverage will enable routine radio diagnostics of CME magnetic fields that current precursors can only demonstrate sporadically, improving space-weather models.
Review chapter organizing machine learning methods for 21 cm cosmology into observation, theory, and inference domains.
citing papers explorer
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Studying Ionosphere Using SKA-Low and SKA-Mid
A multi-telescope comparative study of ionospheric phase fluctuations, TEC gradients, and scintillation is used to assess impacts on calibration and forecast effects for SKA-Low and SKA-Mid.
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Methods of Observing and Characterising the Ionosphere with SKA-Low
SKA-Low can characterise mid-latitude ionospheric structure via multiple interferometric phase-screen and scintillation methods, with forward modelling linking observables to physical plasma conditions.
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Role of SKA in Advancing Remote Measurements of Magnetic Fields of Solar Coronal Mass Ejections
SKA's sensitivity, bandwidth and frequency coverage will enable routine radio diagnostics of CME magnetic fields that current precursors can only demonstrate sporadically, improving space-weather models.
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Application of Machine Learning to 21 cm Cosmology
Review chapter organizing machine learning methods for 21 cm cosmology into observation, theory, and inference domains.