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Kevin J. Coakley (Fed)

Kevin J. Coakley earned a B.S. in Physics from Yale University, an M.S. in Physics from the University of Washington (Seattle), and a Ph.D. in Statistics from Stanford University. He joined the Statistical Engineering Division at NIST in 1989. Current research interests include aerosol physics; neutron physics; fast neutron spectroscopy; neutron imaging; astroparticle physics; and computational biology.

Technical Areas of Research and Consulting:

  • Planning and analysis of experiments in physical science and engineering
  • Stochastic and empirical model building
  • Computer intensive statistical methods
  • Bootstrap resampling methods
  • Statistical signal processing
  • Statistical algorithms for imaging

Professional Activities and Societies and Standards Activities:

Publications

Practical realisation of the kelvin by Johnson noise thermometry

Author(s)
Horst Rogalla, D Rod White, Jifeng Qu, Samuel P. Benz, Christof Gaiser, Weston L. Tew, Nathan Flowers-Jacobs, Kevin J. Coakley, Alessio Polarollo, Chiharu Urano
Johnson noise thermometry (JNT) is a purely electronic method of thermodynamic thermometry. In primary JNT, the temperature is inferred from a comparison of the

Emission Ghost Imaging: reconstruction with data augmentation

Author(s)
Kevin J. Coakley, Heather H. Chen-Mayer, Bruce D. Ravel, Daniel Josell, Nikolai Klimov, Sarah Robinson, Daniel S. Hussey
Ghost Imaging enables 2D reconstruction of an object even though particles transmitted or emitted by the object of interest are detected with a single pixel
Created October 9, 2019, Updated December 8, 2022