Trees and forests in nuclear physics
M Carnini, A Pastore
Abstract
Abstract We present a simple introduction to the decision tree algorithm using some examples from nuclear physics. We show how to improve the accuracy of the classical liquid drop nuclear mass model by performing feature engineering with a decision tree. Finally, we apply the method to the Duflo–Zuker model showing that, despite their simplicity, decision trees are capable of improving the description of nuclear masses using a limited number of free parameters.
Topics & Concepts
Decision treeComputer scienceFeature (linguistics)Tree (set theory)Simple (philosophy)Decision tree modelDecision tree learningArtificial intelligenceMathematicsNuclear powerDecision theoryNuclear plantAlgorithmNuclear explosionDecision modelStatistical physicsNuclear dataNuclear industryPhysicsNuclear physics research studiesStatistical Mechanics and EntropyComputational Physics and Python Applications