Multi-Frequency Synthesis of VLBI Images Using a Generalized Maximum Entropy Method

TL;DR

This paper introduces a novel multi-frequency VLBI image reconstruction algorithm based on a generalized maximum-entropy method, enabling effective spectral correction and spectral-index mapping over broad bandwidths.

Contribution

It presents a new algorithm that simultaneously reconstructs images and spectral information from multi-frequency VLBI data, improving spectral accuracy.

Findings

Numerical simulations demonstrate the algorithm's effectiveness.

The method accurately reconstructs spectral-index distributions.

The approach enhances image quality over broad frequency ranges.

Abstract

A new multi-frequency synthesis algorithm for reconstructing images from multi-frequency VLBI data is proposed. The algorithm is based on a generalized maximum-entropy method, and makes it possible to derive an effective spectral correction for images over a broad frequency bandwidth, while simultaneously reconstructing the spectral-index distribution over the source. The results of numerical simulations demonstrating the capabilities of the algorithm are presented.