Carnini, Marco and Pastore, Alessandro orcid.org/0000-0003-3354-6432 (2020) Trees and Forests in Nuclear Physics. Journal of physics g-Nuclear and particle physics. pp. 1-23. ISSN 0954-3899
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 DufloZuker model showing that, despite their simplicity, decision trees are capable of improving the description of nuclear masses using a limited number of free parameters
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, The Author(s). |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Physics (York) |
Funding Information: | Funder Grant number SCIENCE AND TECHNOLOGY FACILITIES COUNCIL (STFC) ST/M006433/1 |
Depositing User: | Pure (York) |
Date Deposited: | 01 Jun 2020 15:00 |
Last Modified: | 23 Jan 2025 00:22 |
Status: | Published online |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161384 |
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