• Corpus ID: 244527120

Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model

  title={Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model},
  author={T. Liaudat and J-L. Starck and Martin Kilbinger and Pierre Antoine Frugier},
We propose a paradigm shift in the data-driven modeling of the instrumental response field of telescopes. By adding a differentiable optical forward model into the modeling framework, we change the data-driven modeling space from the pixels to the wavefront. This allows to transfer a great deal of complexity from the instrumental response into the forward model while being able to adapt to the observations, remaining data-driven. Our framework allows a way forward to building powerful models… 

Figures and Tables from this paper

Self-Supervised Deep Learning for Improved Image-Based Wave-Front Sensing

A phase retrieval model of self-supervised physical deep learning combined with a complete physical model to represent the image-formation process is proposed, which is more suitable for practical applications and is more robust than supervised learning.

Analytic auto-differentiable $\Lambda$CDM cosmography

An application to high-dimensional Bayesian analysis that utilises automatic differentiation through the distance calculations to derive posteriors for cosmological parameters from up to 10 6 mock type Ia supernovæ using variational inference is demonstrated.

Deep learning-based galaxy image deconvolution

With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different

Rethinking data-driven point spread function modeling with a differentiable optical model

. In astronomy, upcoming space telescopes with wide-field optical instruments have a spatially varying point spread function (PSF). Specific scientific goals require a high-fidelity estimation of the PSF



Multi-CCD modelling of the point spread function

A new method is proposed, coined Multi-CCD (MCCD) PSF modelling, which simultaneously creates a PSF field model over the entirety of the instrument’s focal plane and allows us to capture global as well as local PSF features through the use of two complementary models that enforce different spatial constraints.

20 years of Hubble Space Telescope optical modeling using Tiny Tim

ABSTRACT Point spread function (PSF) models are critical to Hubble Space Te lescope (HST) data analysis. Astronomers unfamiliar with optical simulation techniques need access to PSF models that

Phase imaging with an untrained neural network

It is experimentally shown that one needs only to feed PhysenNet a single diffraction pattern of a phase object, and it can automatically optimize the network and eventually produce the object phase through the interplay between the neural network and the physical model.

Dark Energy Survey year 3 results: point spread function modelling

A new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), is introduced, which is applied to the first three years of the Dark Energy Survey data.

Euclid weak lensing : PSF field estimation

As light propagates through the Universe, its path is altered by the presence of massive objects. This causes a distortion of the images of distant galaxies. Measuring this effect, called weak

Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder

The use of a denoising autoencoder, a type of deep neural network, to model the point spread function of wide-field small-aperture telescopes and this could be used to design data post-processing or optical system alignment methods.

Bayesian galaxy shape measurement for weak lensing surveys – III. Application to the Canada–France–Hawaii Telescope Lensing Survey

A likelihood-based method for measuring weak gravitational lensing shear in deep galaxy surveys is described and applied to the Canada–France–Hawaii Telescope (CFHT) Lensing Survey (CFHTLenS).

Introduction to Fourier optics

The second edition of this respected text considerably expands the original and reflects the tremendous advances made in the discipline since 1968. All material has been thoroughly updated and

Status of the performance of the Euclid spacecraft

The Euclid mission, of which the spacecraft is the essential space segment, is being developed to undertake the challenges of mapping the dark energy and dark matter distribution in the Universe, has passed critical milestones with the manufacturing and integration of the telescope, instruments and service module.

Phase Retrieval with Application to Optical Imaging: A contemporary overview

The goal is to describe the current state of the art in this area, identify challenges, and suggest future directions and areas where signal processing methods can have a large impact on optical imaging and on the world of imaging at large.