X-ray lens figure errors retrieved by deep learning from several beam intensity images.
J Synchrotron Radiat
; 2024 Sep 01.
Article
em En
| MEDLINE
| ID: mdl-39042577
ABSTRACT
The phase problem in the context of focusing synchrotron beams with X-ray lenses is addressed. The feasibility of retrieving the surface error of a lens system by using only the intensity of the propagated beam at several distances is demonstrated. A neural network, trained with a few thousand simulations using random errors, can predict accurately the lens error profile that accounts for all aberrations. It demonstrates the feasibility of routinely measuring the aberrations induced by an X-ray lens, or another optical system, using only a few intensity images.
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Base de dados:
MEDLINE
Idioma:
En
Revista:
J Synchrotron Radiat
Assunto da revista:
RADIOLOGIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
França