Full-field and full-spectrum response efficiency calibration of x-ray grazing incidence microscope

Quantitative analysis of inertial confinement fusion (ICF) implosion hotspots requires accurate measurements of spatially distributed x-ray emission spectra. Kirkpatrick-Baez (KB) x-ray microscopes are widely used for hotspot diagnostics in major ICF facilities; however, accurate calibration of their full-field and full-spectrum response efficiency remains challenging due to multi-parameter coupling and spatially nonuniform optical response. In this study, we present an efficient calibration method for a KB microscope by combining theoretical modeling with experimental reflectivity measurements. The response efficiency is described in terms of the collection solid angle, magnification, and angle-dependent mirror reflectivity, while experimental data are used to calibrate key model parameters, including the effective grazing incidence angle and a global intensity correction factor accounting for system-level losses. The method is applied to a four-channel, energy-adaptive KB microscope, enabling determination of the spatial distribution of the effective response energy and the full-spectrum response efficiency over the entire field of view. This approach provides a reliable basis for quantitative ICF hotspot imaging diagnostics.

Authors

Institutions

Publication Details

Journal
Review of Scientific Instruments
Published
2026-11-01
DOI
https://doi.org/10.1063/5.0336422
Primary Topic
Laser-Plasma Interactions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Full-field and full-spectrum response efficiency calibration of x-ray grazing incidence microscope

穆宝忠, Mingxun Wang, Zhentian Wang, X M Zhang et al.
Review of Scientific Instruments
Laser-Plasma Interactions and Diagnostics
article

Full-field and full-spectrum response efficiency calibration of x-ray grazing incidence microscope

穆宝忠, Mingxun Wang, Zhentian Wang, X M Zhang, Wei Liu, Jie Xu, Yankang Wu, Ao Sun, Mingtao Li, Shaoyong Tu, Jianjun Dong, Yuchi Wu, Shenxin Ke, Pin Yang, Feng Wang, Jiamin Yang, Jianhua Zheng, Zongqing Zhao, Dong Yang, Jiapeng Shi
article en

Abstract

Quantitative analysis of inertial confinement fusion (ICF) implosion hotspots requires accurate measurements of spatially distributed x-ray emission spectra. Kirkpatrick-Baez (KB) x-ray microscopes are widely used for hotspot diagnostics in major ICF facilities; however, accurate calibration of their full-field and full-spectrum response efficiency remains challenging due to multi-parameter coupling and spatially nonuniform optical response. In this study, we present an efficient calibration method for a KB microscope by combining theoretical modeling with experimental reflectivity measurements. The response efficiency is described in terms of the collection solid angle, magnification, and angle-dependent mirror reflectivity, while experimental data are used to calibrate key model parameters, including the effective grazing incidence angle and a global intensity correction factor accounting for system-level losses. The method is applied to a four-channel, energy-adaptive KB microscope, enabling determination of the spatial distribution of the effective response energy and the full-spectrum response efficiency over the entire field of view. This approach provides a reliable basis for quantitative ICF hotspot imaging diagnostics.

Review of Scientific InstrumentsVol. 97(11)
Tongji University (CN), China Academy of Engineering Physics (CN), Laser Fusion Research Center (CN), Tsinghua University (CN)
Openalex Percentile: Top 17%
Laser-Plasma Interactions and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon