2025-07-24 –, Main Room 4
Many radio astronomy facilities are interferometers, and interferometric data require computational algorithms to produce an astronomical image. Multifrequency Synthesis (MFS) is a technique in which interferometric data at multiple frequencies are imaged simultaneously, resulting in higher quality radio images and improved constraints on the source’s spectral structure. Here I present an extension to the Julia package Stoked.jl which performs MFS in a Bayesian framework.
In this talk, I’ll present my contributions to the radio astronomy imaging package Stoked.jl which enables Multifrequency Synthesis in a Bayesian framework. Alongside presenting some scientific results using this technique, I’ll discuss my own experiences learning Julia as an astronomy graduate student.
Erandi is a 3rd year Astronomy graduate student at Harvard University.