Tag: #Machine learning
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Intelligent Design for Particle Detectors
Intelligent Design for Particle Detectors Particle detectors are becoming ubiquitous: originally designed as tools for fundamental physics (collider physics experiments, neutrino observatories, etc.), they are also increasingly used in medical and industrial applications. For all use cases, the main challenge in the design of a detector can always be described by the same terms: achieving
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The likelihood is dead, long live the likelihood
The likelihood is dead, long live the likelihood Among the sciences, particle physics has the luxury of having a well established theoretical basis. Often we focus on the elementary particles and model them mathematically with quantum field theories like the Standard Model. In order to compare with data, we must also model the additional radiation,