Strong gravitational lensing parameter estimation with vision transformer
Quantifying the parameters and corresponding uncertainties of hundreds of strongly lensed
quasar systems holds the key to resolving one of the most important scientific questions: the …
quasar systems holds the key to resolving one of the most important scientific questions: the …
LenSiam: Self-Supervised Learning on Strong Gravitational Lens Images
Self-supervised learning has been known for learning good representations from data
without the need for annotated labels. We explore the simple siamese (SimSiam) …
without the need for annotated labels. We explore the simple siamese (SimSiam) …
Automating strong galaxy-scale gravitational lens modelling with neural networks
CJ Pearson - 2022 - eprints.nottingham.ac.uk
Strong galaxy-scale gravitational lensing provides a powerful means of studying galaxy
formation, constraining cosmology and understanding the evolution of large-scale structure …
formation, constraining cosmology and understanding the evolution of large-scale structure …
[PDF][PDF] Augmentation Matters: Representation Learning for Strong Gravitational Lensing
Self-supervised learning has been known for learning good representations from data
without the need for annotated labels. We explore the simple siamese (Sim-Siam) …
without the need for annotated labels. We explore the simple siamese (Sim-Siam) …