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Optimising instrument concepts with Machine Learning: Application to CMB spectral distortion experiments
Understanding how instrumental and mission parameters affect the ability to measure faint astrophysical signals is a key challenge in the design of future experiments. This is particularly relevant for CMB spectral distortions, whose weak signals are affected by both instrumental effects and astroph
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