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