The Aegean source finding program and associated tools
-
Updated
May 19, 2024 - Python
The Aegean source finding program and associated tools
Object segmentation with Mask R-CNN
This tutorial is based on the SKA Data Challenge 1. The aim of the tutorial is to learn to identify and classify sources is radio images. The data provided is simulated, to represent what the SKA data will look like once the telescope is in operation.
Uses Mult-Nested sampling to find multiple spectral lines and compare models. Designed for the ASKAP First Large Absorption Survey in HI.
Extended functionality on the astropy-associated "photutils" photometry package.
FireFly - A Bayesian approach to source finding in Astronomical data.
This tutorial is based on the SKA Data Challenge 1. The aim of the tutorial is to learn to identify and classify sources is radio images. The data provided is simulated, to represent what the SKA data will look like once the telescope is in operation.
Add a description, image, and links to the source-finding topic page so that developers can more easily learn about it.
To associate your repository with the source-finding topic, visit your repo's landing page and select "manage topics."