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Performance of boosted decision trees for combining ATLAS b-tagging methods
This note evaluates the performance of boosted decision trees for combining the information from different ATLAS b-tagging algorithms into a single jet classifier. The rejection of light quarks given by boosted decision trees is estimated using a Monte Carlo simulation of $WH$ and $t\bar{t}$ events....
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| Lenguaje: | eng |
| Publicado: |
2007
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| Acceso en línea: | http://cds.cern.ch/record/1020546 |