machine-learning

First application of the empirical likelihood function to position reconstruction in AC-LGAD detectors

During the last days I was working on the application of the maximum “empirical likelihood” estimator for the hit position of a particle in an AC-LGAD. To get an introduction to this method, please have a look at this previous post. Today I am going to write about how I am applying this method to …

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Empirical likelihood function with continuous parameters

Introduction Currently I am working with a new type of particle detectors, still in development, called AC-LGADs (also RSD). These detectors promise to provide both spacial and temporal measurements for particles hits. Today I am not interested in the details of these detectors or how to use them, but in obtaining a method to infer …

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