A facility to calibrate x-ray imaging optics was built at Lawrence Livermore National Laboratory to support high energy density (HED) and inertial confinement fusion (ICF) diagnostics such as those at the National Ignition Facility and the Sandia Z-Machine. Calibration of the spectral reflectivity and resolution of these x-ray diagnostics enable absolute determination of the x-ray flux and wavelengths generated in the HED and ICF experiments. Measurement of the optic point spread function is used to determine spatial resolution of the optic. This facility was constructed to measure (1) the x-ray reflectivity to ±5% over a spectral range from 5 to 60 keV; (2) point spread functions with a resolution of 50 m (currently) and 13 m (future) in the image plane; and (3) optic distance relative to the x-ray source and detector to within ±100 m in each dimension. This article describes the capabilities of the calibration facility, concept of operations, and initial data from selected x-ray optics.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1063/1.5038742 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Normal tissue complication probability model for severe radiation-induced lymphopenia in patients with pancreatic cancer treated with concurrent chemoradiotherapy.
Phys Imaging Radiat Oncol
January 2025
Department of Radiation Oncology, Hokkaido University Faculty of Medicine and Graduate School of Medicine, North 15 West 7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan.
Background And Purpose: Radiation-induced lymphopenia (RIL) may be associated with a worse prognosis in pancreatic cancer. This study aimed to develop a normal tissue complication probability (NTCP) model to predict severe RIL in patients with pancreatic cancer undergoing concurrent chemoradiotherapy (CCRT).
Materials And Methods: We reviewed pancreatic cancer patients treated at our facility for model training and internal validation.
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.
BMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.
A reciprocity calibration of hydrophones in a non-anechoic water tank: Method and realization.
J Acoust Soc Am
January 2025
Hangzhou Applied Acoustics Research Institute, Hangzhou, Zhejiang 311400, China.
To measure the electroacoustic parameters of transducers in the continuous sound field in a limited water area, a reciprocity calibration method of hydrophones using a spatial sampling average method in a non-anechoic tank was developed. The sound propagation in the non-anechoic tank under the impedance boundary condition, with a sound source producing continuous sound, is introduced based on the Helmholtz equation and Green's function. The reciprocity constant is given using the spatial sampling average sound pressure, and the three-transducer reciprocity calibration procedure was established.
View Article and Find Full Text PDFVaccination Strategies for Ebola in the Democratic Republic of Congo: The WHO-Ebola Modeling Collaboration.
Int J Infect Dis
January 2025
Department of Biostatistics, University of Florida, Gainesville, USA. Electronic address:
Objectives: Assess the effectiveness of ring vaccination in controlling an Ebola virus outbreak in the Democratic Republic of Congo.
Methods: This analysis focuses on two areas of the Democratic Republic of Congo, Beni and Butembo/Katwa, which were affected during the 2018-2020 Ebola outbreak. To simulate Ebola virus transmission, we used a spatially explicit agent-based model with households, health care facilities, and Ebola treatment units.
Analysis of Giant-Shell CdSe/CdS Quantum Dots via Analytical Ultracentrifugation Combined with Spectrally Resolved Photoluminescence.
Small Methods
January 2025
Institute of Particle Technology (LFG), Department of Chemical and Biological, Engineering (CBI), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Cauerstraße 4, 91058, Erlangen, Germany.
Knowledge of the structure-property relationships of functional nanomaterials, including, for example, their size- and composition-dependent photoluminescence (PL) and particle-to-particle variations, is crucial for their design and reproducibility. Herein, the Angstrom-resolution capability of an analytical ultracentrifuge combined with an in-line multiwavelength emission detection system (MWE-AUC) for measuring the sedimentation coefficient-resolved spectrally corrected PL spectra of dispersed nanoparticles is demonstrated. The capabilities of this technique are shown for giant-shell CdSe/CdS quantum dots (g-QDs) with a PL quantum yield (PL QY) close to unity capped with oleic acid and oleylamine ligands.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!