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Sparsely sampling the sky: a Bayesian experimental design approach

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Academic year: 2021

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Figure 1. Design of the mask on the sky to sparsely sample the sky. A regular grid with n patches of size M (note that we are observing through these patches — white squares in the Figure), placed at constant distances from one another at x i and y j
Figure 2. Survey geometry for the ‘constant total area’ scenario — section 5.1. In this setting we keep the patches at a constant position and gradually decrease their size
Figure 3. Survey geometry for the ‘constant observed area’ scenario — section 5.2. In this setting the size of the patches are kept fixed at 60Mpc, and the area is sparsified by placing the patches further and further from one another
Figure 5. ‘Constant total area’ — Top panel shows the diagonal elements of the Fisher matrix for different f for the power spectrum bins
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