Results of project PhotoLED

This page includes all published results of the project, including open-access peer-reviewed scientific papers and conference proceedings papers written about operation of the new LED calibration sources as well as measurement methods developed.

Publishable summary
    Download the final publishable summary of the project here: Click
PhotoLED Spectral Database
    This dataset consists of 1495 relative spectral power distributions collected by the partners and collaborators of project PhotoLED. The spectra of LED products of different types were measured; including AC- and DC-operated bulbs, spots, tubes, street lamps, LED strips, downlight luminaires, prints and textures by a large number of manufacturers. The measurements of the products were carried out in various laboratories, including manufacturers of LED products, test laboratories, and National Metrology Institutes (NMIs). The products included in the study were manufactured in the timespan of 2009–2016. The spectral database was used in the analysis of the LED illuminants and LED reference spectrum. Repository link for download: PhotoLED Spectral Database
Scientific papers
  • A. Kokka, T. Pulli, A. Ferrero, P. Dekker, A. Thorseth, P. Kliment, A. Klej, T. Gerloff, K. Ludwig, T. Poikonen and E. Ikonen, "Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres," Metrologia 56, 045002, 9p (2019).
  • In this paper, the fisheye camera method is validated for spatial non-uniformity corrections in luminous flux measurements with integrating spheres. The method was tested in eight integrating spheres with six LED lamps, and the determined angular intensity distributions and spatial non-uniformity correction factors were compared with the results of five goniophotometers.
  • A. Ferrero, J. L. Velázquez, A. Pons, and J. Campos, "Index for the evaluation of the general photometric performance of photometers," Opt. Express 26, 18633–18643 (2018).
  • The article describes a new index for describing the performance of photometers in terms of the spectral mismatch errors. These errors are caused, on the one hand, by the nonideal spectral responsivities of the photometers, and, on the other hand, by the differences between the spectra of the calibration sources and the sources to be measured. The index was found to perform better than the existing quality index for spectral mismatch.
  • A. Kokka, T. Poikonen, P. Blattner, S. Jost, A. Ferrero, T. Pulli, M. Ngo, A. Thorseth, T. Gerloff, P. Dekker, F. Stuker, A. Klej, K. Ludwig, M. Schneider, T. Reiners, and E. Ikonen, "Development of white LED illuminants for colorimetry and recommendation of white LED reference spectrum for photometry," Metrologia 55, 526–534 (2018).
  • In the article, 8 LED-based illuminants - spectral power distributions describing typical light sources - are proposed for colorimetry. Using one of these illuminants as the calibration spectrum in photometry was found to decrease the spectral mismatch errors by a factor of two on average compared with incandescent-lamp-based calibration source in LED measurements. This LED-based calibration spectrum was also found to decrease spectral mismatch errors when measuring daylight and many types of fluorescent and discharge lamps. Thus, the LED calibration spectrum is a viable alternative to the incandescent-lamp-based Standard Illuminant A. This article was selected as one of the 2018 Highlights of IOP Metrologia, please see: https://iopscience.iop.org/journal/0026-1394/page/Highlights_of_2018
  • A. Kokka, T. Pulli, T. Poikonen, J. Askola, and E. Ikonen, "Fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres," Metrologia 54, 577–583 (2017).
  • The article describes a method for determining the relative angular intensity distribution of a light source, and thus the spatial correction required in accurate integrating-sphere-based measurements of luminous flux and luminous efficacy, without relying on time- and resource-consuming goniometric measurements. A picture of the inner surface of the integrating sphere is taken with a fisheye camera, and the angular intensity distribution is determined through image processing. The measurement time are reduced from several hours with a goniometer to tens of seconds using the fisheye camera. Spatial nonuniformity corrections obtained with the two methods were compared with each other, and the results showed good agreement.
Conference papers
Theses