Optimized scheduling for holographic data storage

Abstract

An algorithm, based on the non-local photopolymerization-driven diffusion (NPDD) model, which determines an appropriate recording schedule based on the physical properties of the recording medium's properties, is examined. While the algorithm was originally developed using a two-harmonic approximation to the NPDD spatially non-local model, here we examine the algorithm's validity using a more rigorous NPDD formulation, solved using a finite difference method. Then the predictions of the algorithm and the inverse-square scaling law of holographic diffraction are examined experimentally, for a peristrophic multiplexing scheme. The scaling law is shown to significantly break down for low numbers of high diffraction efficiency gratings. A recently proposed modified form of the scaling law is then validated experimentally.