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In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical physics provides analytical tools to study fundamental limitations in their ...
In this thesis, we study gapless Quantum Field Theories using S-matrix bootstrap methods. These methods are intrinsically nonperturbative and utilize basic physical principles---such as Lorentz invariance, unitarity, and crossing symmetry---to constrain th ...
This manuscript describes the optimization of the front-end readout electronics for high granularity hybrid pixel detectors. The theoretical study aims at minimizing the noise and jitter. The model presented here is validated with both circuit post layout ...