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Found 5 papers, 3 papers with code
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
Second, we provide an overview of the different physical contributors of the PSF, including the optic- and detector-level contributors and the atmosphere.
Rethinking data-driven point spread function modeling with a differentiable optical model
We change the data-driven modeling space from the pixels to the wavefront by adding a differentiable optical forward model into the modeling framework.
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model
By adding a differentiable optical forward model into the modeling framework, we change the data-driven modeling space from the pixels to the wavefront.
Shear measurement bias II: a fast machine learning calibration method
The method estimates the individual shear responses of the objects from the combination of several measured properties on the images using supervised learning.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
A highly precise shear bias estimator independent of the measured shape noise
This shear response is the multiplicative shear bias for each image.
Cosmology and Nongalactic Astrophysics
