A new RTU grid method models the lensing source as a Gaussian process on a ray-transformed uniform grid, achieving comparable fits with roughly half the pixels per dimension and higher ELBOs on mock data.
Introducing LensCharm: A charming Bayesian strong lensing reconstruction framework
2 Pith papers cite this work, alongside 8 external citations. Polarity classification is still indexing.
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Composite time-delay lens modelling of JWST WFI2033–4723 yields intermediate stellar IMF normalisation and a steep gNFW inner slope γ_in≃1.3 that is robust to the choice of external cosmology.
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Gaussian processes on ray-guided transformed uniform grids for fast, flexible, and auto-differentiable adaptive source reconstruction in lens modelling
A new RTU grid method models the lensing source as a Gaussian process on a ray-transformed uniform grid, achieving comparable fits with roughly half the pixels per dimension and higher ELBOs on mock data.
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Disentangling the dark and stellar mass through precise lens modelling of the JWST observation of lensed quasar WFI2033--4723
Composite time-delay lens modelling of JWST WFI2033–4723 yields intermediate stellar IMF normalisation and a steep gNFW inner slope γ_in≃1.3 that is robust to the choice of external cosmology.