586 citations · 668 across the 7 of their papers we have counts for
4 papers · 1 filter
A benchmark analysis of saliency-based explainable deep learning methods for the morphological classification of radio galaxies
M. T. Atemkeng, C. Chuma, S. Zaza +2
This work proposes a saliency-based attribution framework to evaluate and compare 10 state-of-the-art explainability methods for deep learning models in astronomy, focusing on the…
Lossy Compression of Large-Scale Radio Interferometric Data
M Atemkeng, S Perkins, E Seck +4
This work proposes to reduce visibility data volume using a baseline-dependent lossy compression technique that preserves smearing at the edges of the field-of-view. We exploit the…
Xova: Baseline-Dependent Time and Channel Averaging for Radio Interferometry
Marcellin Atemkeng, Simon Perkins, Jonathan Kenyon +2
Xova is a software package that implements baseline-dependent time and channel averaging on Measurement Set data. The uv-samples along a baseline track are aggregated into a bin un…
Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging
M. Atemkeng, O. Smirnov, C. Tasse +2
The desire for wide-field of view, large fractional bandwidth, high sensitivity, high spectral and temporal resolution has driven radio interferometry to the point of big data revo…