R&D 100, 2016: Ultrafast X-ray Imager
Abstract
The Ultrafast X-ray Imager is a solid-state camera capable of capturing a sequence of images with user-selectable exposure times as short as 2 billionths of a second. Using 3D semiconductor integration techniques to form a hybrid chip, this camera was developed to enable scientists to study the heating and compression of fusion targets in the quest to harness the energy process that powers the stars.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1334667
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; IMAGES; CAMERA; PIXELS; READOUT INTEGRATED CIRCUIT; UXI; ULTRAFAST X-RAY IMAGER; FUSION RESEARCH
Citation Formats
Porter, John, Claus, Liam, Sanchez, Marcos, Robertson, Gideon, Riley, Nathan, and Rochau, Greg. R&D 100, 2016: Ultrafast X-ray Imager. United States: N. p., 2016.
Web.
Porter, John, Claus, Liam, Sanchez, Marcos, Robertson, Gideon, Riley, Nathan, & Rochau, Greg. R&D 100, 2016: Ultrafast X-ray Imager. United States.
Porter, John, Claus, Liam, Sanchez, Marcos, Robertson, Gideon, Riley, Nathan, and Rochau, Greg. Mon .
"R&D 100, 2016: Ultrafast X-ray Imager". United States. https://www.osti.gov/servlets/purl/1334667.
@article{osti_1334667,
title = {R&D 100, 2016: Ultrafast X-ray Imager},
author = {Porter, John and Claus, Liam and Sanchez, Marcos and Robertson, Gideon and Riley, Nathan and Rochau, Greg},
abstractNote = {The Ultrafast X-ray Imager is a solid-state camera capable of capturing a sequence of images with user-selectable exposure times as short as 2 billionths of a second. Using 3D semiconductor integration techniques to form a hybrid chip, this camera was developed to enable scientists to study the heating and compression of fusion targets in the quest to harness the energy process that powers the stars.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 07 00:00:00 EST 2016},
month = {Mon Nov 07 00:00:00 EST 2016}
}