Erandi Chavez
Erandi is a 3rd year Astronomy graduate student at Harvard University.
Session
07-24
13:40
10min
Bayesian Multifrequency Imaging for Radio Astronomy
Erandi Chavez
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.
Julia in Astronomy & Astrophysics Research 2025
Main Room 4