Reference author: PJ Hadwin

Hadwin, P. ., Sipkens, T. ., Thomson, K. ., Liu, F. ., & Daun, K. . (2018). A Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence. The Journal of the Optical Society of America, 35. https://doi.org/10.1364/josaa.35.000386

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. ., 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

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

Hadwin, P. ., Sipkens, T. ., Thomson, K. ., Liu, F. ., & Daun, K. . (2017). Quantifying uncertainty in auto-compensating laser-induced incandescence experiments due to multiple nuisance parameters. Applied Physics B, 123. https://doi.org/10.1007/s00340-017-6693-z

Moghaddam, T. ., Hadwin, P. ., & Daun, K. . (2017). Soot aggregate sizing through multiangle elastic light scattering: influence of model error. Journal of Aerosol Science, 111. https://doi.org/10.1016/j.jaerosci.2017.06.003