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

نویسندگان

چکیده

Abstract In astronomy, upcoming space telescopes with wide-field optical instruments have a spatially varying point spread function (PSF). Specific scientific goals require high-fidelity estimation of the PSF at target positions where no direct measurement is provided. Even though observations are available some field view (FOV), they undersampled, noisy, and integrated into wavelength in instrument’s passband. modeling represents challenging ill-posed problem, as it requires building model from these that can infer super-resolved any position FOV. Current data-driven models tackle spatial variations super-resolution. However, not capable capturing chromatic variations. Our model, coined WaveDiff, proposes paradigm shift telescopes. We change pixels to wavefront by adding differentiable forward framework. This allows transfer great deal complexity instrumental response model. The proposed relies on efficient automatic differentiation technology modern stochastic first-order optimization techniques recently developed thriving machine-learning community. framework paves way powerful, physically motivated do special calibration data. paper demonstrates WaveDiff simplified setting telescope. performance breakthrough respect existing state-of-the-art approach. pixel reconstruction errors decrease six-fold observation resolution 44-fold for 3x ellipticity reduced least 20 times, size error more than 250 times. By only using noisy broad-band in-focus observations, we successfully capture due diffraction. source code examples associated this link .

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modeling of EUV photoresists with a resist point spread function

Extreme ultraviolet (EUV) lithography is under development for possible deployment at the 32-nm technology node. One active area of research in this field is the development of photoresists that can meet the stringent requirements (high resolution, high sensitivity, low LER, etc.) of lithography in this regime. In order to facilitate research in this and other areas related to EUV lithography, ...

متن کامل

Point spread function based image reconstruction in optical projection tomography.

As a result of the shallow depth of focus of the optical imaging system, the use of standard filtered back projection in optical projection tomography causes space-variant tangential blurring that increases with the distance to the rotation axis. We present a novel optical tomographic image reconstruction technique that incorporates the point spread function of the imaging lens in an iterative ...

متن کامل

Estimation of the ocular point spread function by retina modeling.

Retinal imaging often suffers from blurring aberrations. With knowledge of the blurring point spread function (PSF), better images can be reconstructed by deconvolution techniques. We demonstrate a method to enhance the contrast of retinal cells by estimating the ocular PSF. This is done by finding the cells' positions and their intensity distributions and using these as a model for the image. ...

متن کامل

Modeling the point-spread function in helium-ion lithography.

We present here a hybrid approach to modeling helium-ion lithography that combines the power and ease-of-use of the Stopping and Range of Ions in Matter (SRIM) software with the results of recent work simulating secondary electron (SE) yield in helium-ion microscopy. This approach traces along SRIM-produced helium-ion trajectories, generating and simulating trajectories for SEs using a Monte Ca...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Inverse Problems

سال: 2023

ISSN: ['0266-5611', '1361-6420']

DOI: https://doi.org/10.1088/1361-6420/acb664