Radio interferometric imaging of spatial structure that varies with time and frequency

TL;DR

This paper presents an algorithm for radio interferometric imaging that models and reconstructs complex, time- and frequency-varying structures in astrophysical sources, improving resolution and detail over traditional methods.

Contribution

The paper introduces a novel imaging algorithm capable of reconstructing three-dimensional, time-varying structures from radio interferometric data across multiple frequencies.

Findings

Successfully reconstructed solar corona structures at high resolution.

Demonstrated improved imaging of dynamic sources over traditional methods.

Validated the algorithm with real data from EVLA observations.

Abstract

The spatial-frequency coverage of a radio interferometer is increased by combining samples acquired at different times and observing frequencies. However, astrophysical sources often contain complicated spatial structure that varies within the time-range of an observation, or the bandwidth of the receiver being used, or both. Image reconstruction algorithms can been designed to model time and frequency variability in addition to the average intensity distribution, and provide an improvement over traditional methods that ignore all variability. This paper describes an algorithm designed for such structures, and evaluates it in the context of reconstructing three-dimensional time-varying structures in the solar corona from radio interferometric measurements between 5 GHz and 15 GHz using existing telescopes such as the EVLA and at angular resolutions better than that allowed by traditional multi-frequency analysis algorithms.