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Particle Instruments Group, Centre for Atmospheric and instrumentation Research, Science and Technology Research Institute, University of Hertfordshire, Hatfield, Herts, UK
Publications: Clarke AJM et al 2006, Hirst E and Kaye 1996, Hirst E et al 2004, 2001, 1995, 1994, Kaye PH
Kaye P. H., Hirst E., Greenaway R. S., Ulanowski Z., Hesse E., DeMott P. J., Saunders C., Connolly P. 2008. Classifying atmospheric ice crystals by spatial light scattering. Opt. Lett. 33, 1545-1547. [source, vba]
Kaye P. H., Stanley W. R., Hirst E., Foot E. V., Baxter K. L., Barrington S. J. 2005. Single particle multichannel bio-aerosol fluorescence sensor. Opt. Express 13, 3583-3593. [abstract, pdf; topic]
Kaye P. H., Barton J. E., Hirst E., Clark J. M. 2000. Simultaneous light scattering and intrinsic fluorescence measurement for the classification of airborne particles. Appl. Opt. 39, 3738-3745. [source, pdf]
Kaye P. H. 1998. Spatial light scattering analysis as a means of characterizing and classifying non-spherical particles. Meas. Sci. Technol. 9, 141-149. [source, pdf]
Kaye P. H., Hirst E., Wang-Thomas Z. 1997. Neural network-based spatial light-scattering instrument for hazardous airborne fiber detection. Appl. Opt. 36, 6149-6156. [source, pdf]
Kaye P. H., Alexander-Buckley K., Hirst E., Saunders S., Clark J. M. 1996. A real-time monitoring system for airborne particle shape and size analysis. J. Geophys. Res. D 101, 19,215-19,221. [source (TOC), pdf]
Kaye P. H., Hirst E. 1995. Apparatus and method for the analysis of particle characteristics using monotonically scattered light. US Patent 5,471,299, 15 pp. [source]
Kaye P. H., Hirst E., Clark J. M., Micheli F. 1992. Airborne particle shape and size classification from spatial light scattering profiles. J. Aerosol Sci. 23, 597-613. [source]
Kaye P. H., Eyles N. A., Ludlow I. K., Clark J. M. 1991. An instrument for the classification of airborne particles on the basis of size, shape and count frequency. Atmos. Environm. 25A, 645-654. [source]
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