simple drawing of an airplane simple drawing of an ionosphere

Our model provides an alternative explanation for observed phase structure functions deviating from Kolmogorov’s five-thirds turbulence, turnover at high baselines, and diffractive scale anisotropy. We find that it is possible to partially constrain the hyperparameters of the ionosphere from sparse-and-noisy observed data. The mean equivalent source shift imposed by our predictive errors are half as large as those of the best competitor model. We perform a comparison with a number of other widely successful Gaussian processes on simulated differential total electron contents over a wide range of experimental conditions, and find that, in all experimental conditions, our model is better able to represent observed data and generalise to unseen data.

We suggest that the ionospheric free electron density can be modelled to good approximation by a Gaussian process restricted to a thick single layer, and show that under this assumption the differential total electron content must also be a Gaussian process. In this paper, we propose a novel probabilistic, tomographic approach that utilises Gaussian processes to calibrate direction-dependent ionospheric phase distortions in low-frequency interferometric data. Leiden Observatory, Leiden University, PO Box 9513, 2300 RA Leiden, The NetherlandsĮ-mail: Centre for Radio Astronomy Research – Curtin University, GPO Box U1987, Perth WA 6845, AustraliaĬalibrating for direction-dependent ionospheric distortions in visibility data is one of the main technical challenges that must be overcome to advance low-frequency radio astronomy. Astronomical objects: linking to databases.Including author names using non-Roman alphabets.Suggested resources for more tips on language editing in the sciences Punctuation and style concerns regarding equations, figures, tables, and footnotes

Simple drawing of an airplane simple drawing of an ionosphere