This document presents a picture of the Optimizer, that will be the core component of the dynamic scheduling system, going to be developed for the Sardinia Radio Telescope (SRT). It will consist of a series of algorithms whose purpose will be to analyze the information stored in a database and then release two schedules: the long-term semester schedule and the short-term (72h) schedule. Optimizer’s computation engine is going to be based on a set of varying parameters, like weather conditions or technical constraints. The core calculation will take place inside the optimizer, and it will be required that the software runs continuously, as it would have to respond in near real time to any changes that may occur in the system. It will consist of several subcomponents, to properly evaluate the weather conditions, to calculate the observations priority, to predict the long-term status and to produce the short-term schedules. Moreover, a simulator will be built to properly calibrate and validate the algorithms.
Biologists use optical microscopes to study plankton in the lab, but their size, complexity and cost makes widespread deployment of microscopes in lakes and oceans challenging. Monitoring the morphology, behavior and distribution of plankton in situ is essential as they are excellent indicators of marine environment health and provide a majority of Earth’s oxygen and carbon sequestration. Direct in-line holographic microscopy (DIHM) eliminates many of these obstacles, but image reconstruction is computationally intensive and produces monochromatic images. By using one laser and one white LED, it is possible to obtain the 3D location plankton by triangulation, limiting holographic reconstruction to only the voxels occupied by the plankton, reducing computation by several orders of magnitude. The color information from the white LED assists in the classification of plankton, as phytoplankton contains green-colored chlorophyll. The reconstructed plankton images are rendered in a 3D interactive environment, viewable from a browser, providing the user the experience of observing plankton from inside a drop of water.
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