Ionospheric modelling using GPS to calibrate the MWA. 1: Comparison of first order ionospheric effects between GPS models and MWA observations
B. S. Arora, J. Morgan, S. M. Ord, S. J. Tingay, N. Hurley-Walker, M., Bell, G. Bernardi, R. Bhat, F. Briggs, J. R. Callingham, A. A. Deshpande, K., S. Dwarakanath, A. Ewall-Wice, L. Feng, B.-Q. For, P. Hancock, B. J., Hazelton, L. Hindson, D. Jacobs, M. Johnston-Hollitt

TL;DR
This study compares first-order ionospheric effects observed by the MWA with GPS-based models, demonstrating that GPS-derived ionospheric gradients correlate with radio observations and can aid in calibration for radio astronomy.
Contribution
It introduces a method for local ionospheric modelling using single GPS stations and estimates receiver biases, improving calibration accuracy for radio telescopes like the MWA.
Findings
GPS ionospheric gradients correlate with MWA observations.
GPS-based models can enhance calibration for radio astronomy.
Receiver biases are effectively estimated for local GPS stations.
Abstract
We compare first order (refractive) ionospheric effects seen by the Murchison Widefield Array (MWA) with the ionosphere as inferred from Global Positioning System (GPS) data. The first order ionosphere manifests itself as a bulk position shift of the observed sources across an MWA field of view. These effects can be computed from global ionosphere maps provided by GPS analysis centres, namely the Center for Orbit Determination in Europe (CODE), using data from globally distributed GPS receivers. However, for the more accurate local ionosphere estimates required for precision radio astronomy applications, data from local GPS networks needs to be incorporated into ionospheric modelling. For GPS observations, the ionospheric parameters are biased by GPS receiver instrument delays, among other effects, also known as receiver Differential Code Biases (DCBs). The receiver DCBs need to be…
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