Optimized scheduling technique for holographic data storage

John V. Kelly; Michael R. Gleeson; Ciara E. Close; John T. Sheridan

doi:10.1117/12.682220

13 September 2006 Optimized scheduling technique for holographic data storage

John V. Kelly, Michael R. Gleeson, Ciara E. Close, John T. Sheridan

Proceedings Volume 6335, Organic Holographic Materials and Applications IV; 63350J (2006) https://doi.org/10.1117/12.682220
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

The development of an optimized scheduling technique based on an accurate model is necessary for the continued development of holographic data storage technology. In this paper we examine an algorithm based on the non-local polymerization driven diffusion model (NPDD), which determines an appropriate recording schedule for use in data storage. The NPDD model accounts for nonlocal spatial and temporal material effects present in material involving free radical chain polymerization. The model is solved using a finite difference technique and an optimized schedule determined. Results are compared to experimental work. The inverse-square scaling law of holographic diffraction is also examined and is shown to hold for low diffraction efficiency gratings but breaks down for a low number of high efficiency gratings.

Citation Download Citation

John V. Kelly, Michael R. Gleeson, Ciara E. Close, and John T. Sheridan "Optimized scheduling technique for holographic data storage", Proc. SPIE 6335, Organic Holographic Materials and Applications IV, 63350J (13 September 2006); https://doi.org/10.1117/12.682220

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