Grauer, S., Hadwin, P., & Daun, K. (2017). Measurement-based meshing, basis selection, and prior assignment in chemical species tomography Optics Express, 25. https://doi.org/10.1364/oe.25.025135
Reference author: SJ Grauer
First name
SJ
Last name
Grauer
Emmert, J., Grauer, S., Wagner, S., & Daun, K. (2019). Efficient Bayesian inference of absorbance spectra from transmitted intensity spectra Optics Express, 27. https://doi.org/10.1364/oe.27.026893
Miguel, R., Emmert, J., Grauer, S., Thornock, J., & Daun, K. (2019). Filter selection method for quantitative optical gas imaging of multicomponent mixtures Journal of Quantitative Spectroscopy and Radiative Transfer, 254, 107208. https://doi.org/10.1016/j.jqsrt.2020.107208
Grauer, S., Emmert, J., Sanders, S., Wagner, S., & Daun, K. (2019). Multiparameter Gas Sensing with Linear Hyperspectral Absorption Tomography Measurement Science and Technology, 30, 105401. https://doi.org/10.1088/1361-6501/ab274b
Grauer, S., Conrad, B., Miguel, R., & Daun, K. (2018). Gaussian model for emission rate measurement of heated plumes using hyperspectral data The Journal of Quantitative Spectroscopy \& Radiative Transfer, 206. https://doi.org/10.1016/j.jqsrt.2017.11.005
Grauer, S., Unterberger, A., Rittler, A., Daun, K., Kempf, A., & Mohri, K. (2018). Instantaneous 3D flame imaging by background-oriented schlieren tomography Combustion and Flame, 196. https://doi.org/10.1016/j.combustflame.2018.06.022
Sipkens, T., Grauer, S., Hadwin, P., & Daun, K. (2018). Predicting the heat of vaporization of iron at high temperatures using time-resolved laser-induced incandescence and Bayesian model selection Journal of Applied Physics, 123, 095103. https://doi.org/10.1063/1.5016341
Grauer, S., Tsang, R., & Daun, K. (2017). Broadband chemical species tomography: measurement theory and a proof-of-concept emissions detection experiment The Journal of Quantitative Spectroscopy \& Radiative Transfer, 198. https://doi.org/10.1016/j.jqsrt.2017.04.030
Grauer, S., Hadwin, P., & Daun, K. (2017). From measurement data to spatial statistics: improving chemical species tomography reconstruction with covariance estimation Applied Optics, 56. https://doi.org/10.1364/ao.56.003900