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Cavity optomechanics assisted by optical coherent feedback
We consider a wide family of optical coherent feedback loops acting on an optomechanical system operating in the linearized regime.
Quantum Physics
Handling missing data in model-based clustering
Gaussian Mixture models (GMMs) are a powerful tool for clustering, classification and density estimation when clustering structures are embedded in the data.
Projection pursuit based on Gaussian mixtures and evolutionary algorithms
We show that this semi-parametric approach to PP is flexible and allows highly informative structures to be detected, by projecting multivariate datasets onto a subspace, where the data can be feasibly visualised.
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