A variable fixed-focus constant optimization method for a variable-included-angle varied-line-spacing plane-grating monochromator

Abstract

Variable‐included‐angle varied‐line‐spacing plane‐grating monochromators (VIA‐VPGM) have been applied to many beamlines because of the self‐focusing and aberration‐correction function of the varied‐line‐spacing grating. Unfortunately, to optimize the variable‐line‐spacing coefficient of the grating, the fixed‐focus constant (Cff) has to be fixed first in the VIA‐VPGM. In this way, some of the advantages of these monochromators are lost, such as the flexibility of choosing a different energy‐resolving power by varying the Cff. In this work, a variable Cff optimization method is introduced for a VIA‐VPGM. By adopting this method, the Cff could be arbitrarily selected in the VIA‐VPGM.

Deep learning for the design and characterization of high efficiency self-focusing grating

“…However, the realization of controllable and highly efficient self-focusing is still an ill-posed inverse problem. Traditional inverse design method of varied line-spaced grating was usually based on intuitive considerations, systematic fine-tuning (grid searching) or other traditional optimization method [9], which would cost expensively both computation resources and time. A small change of its target properties will require a recalculation and re-optimization of the model which will consume a huge number of resources.…”