CERN Accelerating science

Statistics

Random Number Generators for Precision Monte Carlos

The Monte Carlo method is used primarily for calculations that are too difficult or even impossible to perform analytically, so that as our experiments and theories become more accurate, we become more dependent on the quality of our MC calculations…

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What is the likelihood function, and how is it used in particle physics?

In statistical data analysis, “likelihood” is a key concept that is closely related to, but crucially distinct from, the concept of “probability”, which is often a synonym in everyday English. In this article, I first lay some necessary foundations…

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Systematic uncertainties: the new target of Machine Learning for HEP

The accurate measurement of physical constants is one of the main goals of research in subnuclear physics. On one side, it improves our ability to represent physical reality through our theoretical models, which opens the way to more stringent tests…

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