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Optimized mirror shape tuning using beam weightings based on distance, angle of incidence, reflectivity, and power.
Goldberg, Kenneth A; Yashchuk, Valeriy V.
Afiliação
  • Goldberg KA; Center for X-Ray Optics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
  • Yashchuk VV; Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
Rev Sci Instrum ; 87(5): 051805, 2016 05.
Article em En | MEDLINE | ID: mdl-27250372
For glancing-incidence optical systems, such as short-wavelength optics used for nano-focusing, incorporating physical factors in the calculations used for shape optimization can improve performance. Wavefront metrology, including the measurement of a mirror's shape or slope, is routinely used as input for mirror figure optimization on mirrors that can be bent, actuated, positioned, or aligned. Modeling shows that when the incident power distribution, distance from focus, angle of incidence, and the spatially varying reflectivity are included in the optimization, higher Strehl ratios can be achieved. Following the works of Maréchal and Mahajan, optimization of the Strehl ratio (for peak intensity with a coherently illuminated system) occurs when the expectation value of the phase error's variance is minimized. We describe an optimization procedure based on regression analysis that incorporates these physical parameters. This approach is suitable for coherently illuminated systems of nearly diffraction-limited quality. Mathematically, this work is an enhancement of the methods commonly applied for ex situ alignment based on uniform weighting of all points on the surface (or a sub-region of the surface). It follows a similar approach to the optimization of apodized and non-uniformly illuminated optical systems. Significantly, it reaches a different conclusion than a more recent approach based on minimization of focal plane ray errors.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos