Nebula Public Library

We aim to develop a novel control theory methodology using input-output process models for error mitigation in signal processing data-paths that operate in radiation prone environments.  In this approach, difference equations are used to characterize the process with perturbation corresponding to faulty digital circuits.

Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.

The emergence of the classical world from quantum theory, and especially of a consensus among different observers, is a long-standing problem for the foundations of quantum theory. Using recent advances in multipartite quantum information theory, we shed light on these problems. Besides their interest for fundamental physics, they are related to quantum sensing and metrology using a quantum-network of stations, a situation of interest for the potential use of quantum-based measurement probes for exploring space and the Universe.

The objective of this activity was to propose a general infrastructure of an end-to-end simulator (E2ES) for space science missions, namely an E2ES requirements baseline, reference architecture and an associated library of software models (building blocks, BB) to promote reuse, standardisation and reduction of engineering costs by defining a products/science validation process throughout the lifecycle based on an E2ES.