An efficient approach for limited-data chemical species tomography and its error bounds
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 59728461
- Type
- D - Journal article
- DOI
-
10.1098/rspa.2015.0875
- Title of journal
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Article number
- 20150875
- First page
- -
- Volume
- 472
- Issue
- 2187
- ISSN
- 1364-5021
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
C - SSS
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposed a computational framework for chemical species tomography with limited noisy data. This work complements experimental efforts that have led to an experimental testing facility at Spanish National Aerospace Centre INTA [INTA contact available]. The developed algorithms were instrumental to the award of H2020 CleanSky2 “Combustion Species Imaging Diagnostics for Aero-Engine Research” (CIDAR) project (www.cidar.eu, EUR2.2M; €338,996 to Edinburgh; Grant ID: 785539) in collaboration with INTA, DAS Photonics, Optosci Limited, Strathclyde and Manchester universities.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
