| Home > Publications database > Inflation as an Information Bottleneck |
| Conference Presentation (Plenary/Keynote) | PUBDB-2019-02734 |
2019
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Please use a persistent id in citations: doi:10.3204/PUBDB-2019-02734
Abstract: We discuss how tools from information theory combined with machine learning a direct map from the microscopic parameters of a string inflation mechanism to the CMB observables allows us to systematically estimate the observable footprint of the theory uncertainty. We demonstrate this using the example mechanism of single-field axion monodromy inflation. We find that inflation acts as an information bottleneck, with a surprising number of microscopic parameters decoupling from the CMB observables.
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