most citedInferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks

2 citations · 3 across the 2 of their papers we have counts for

collaborators

1 paper

astro-ph.IM2022★ 2 cited

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks

Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner

Measuring the structural parameters (size, total brightness, light concentration, etc.) of galaxies is a significant first step towards a quantitative description of different gala…