Contrast optimization of Fresnel zone plate imaging.


Journal

The Review of scientific instruments
ISSN: 1089-7623
Titre abrégé: Rev Sci Instrum
Pays: United States
ID NLM: 0405571

Informations de publication

Date de publication:
01 May 2023
Historique:
received: 16 02 2023
accepted: 11 04 2023
medline: 15 5 2023
pubmed: 15 5 2023
entrez: 15 5 2023
Statut: ppublish

Résumé

Fresnel zone plates (FZPs) are circular diffractive elements that operate as a lens for x-rays. They have gained interest in the field of laser-plasma physics due to their ability to achieve higher spatial resolution than pinholes. Their design and implementation are complicated by the fact that a significant amount of the x-rays passing through the FZP will not diffract (zeroth order) and present a background to the measurement. This background can be large and inhomogeneous depending on the geometric setup of the experiment. Here, we present calculations of the diffracted (first order) and un-diffracted (zeroth order) flux profiles, which makes it possible to optimize the contrast between the first order imaging rays and the zeroth order background. Calculations for the implementation of a central block in the FZP, designed to block the zeroth from the entire field of view, are also presented.

Identifiants

pubmed: 37184346
pii: 2890428
doi: 10.1063/5.0146816
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Author(s). Published under an exclusive license by AIP Publishing.

Auteurs

D Haberberger (D)

Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA.

A Shvydky (A)

Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA.

P M Nilson (PM)

Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA.

S Ivancic (S)

Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA.

D H Froula (DH)

Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA.

Classifications MeSH