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Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State
The performance of various machine learning algorithms are evaluated for their separation power of the $Z\gamma$ Electroweak process (with $Z\rightarrow\ell\ell$ and $\ell=e,\mu$) against the various backgrounds that populate the selection.\\ The Boosted Decision Tree method is found to deliver th...
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| Lenguaje: | eng |
| Publicado: |
2017
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| Acceso en línea: | http://cds.cern.ch/record/2285497 |
| _version_ | 1780955885452918784 |
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| author | Amos, Kieran Robert |
| author_facet | Amos, Kieran Robert |
| author_sort | Amos, Kieran Robert |
| collection | CERN |
| description | The performance of various machine learning algorithms are evaluated for their separation power of the $Z\gamma$ Electroweak process (with $Z\rightarrow\ell\ell$ and $\ell=e,\mu$) against the various backgrounds that populate the selection.\\ The Boosted Decision Tree method is found to deliver the best performance and is compared to that of neural net analysis and previously used methods using $36.1\, \text{fb}^{-1}$ of data obtained at $\sqrt{s}=13\, \text{TeV}$ from the ATLAS detector in 2015 and 2016. |
| id | cern-2285497 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2017 |
| record_format | invenio |
| spelling | cern-22854972019-09-30T06:29:59Zhttp://cds.cern.ch/record/2285497engAmos, Kieran RobertPerformance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final StateParticle Physics - ExperimentThe performance of various machine learning algorithms are evaluated for their separation power of the $Z\gamma$ Electroweak process (with $Z\rightarrow\ell\ell$ and $\ell=e,\mu$) against the various backgrounds that populate the selection.\\ The Boosted Decision Tree method is found to deliver the best performance and is compared to that of neural net analysis and previously used methods using $36.1\, \text{fb}^{-1}$ of data obtained at $\sqrt{s}=13\, \text{TeV}$ from the ATLAS detector in 2015 and 2016.CERN-STUDENTS-Note-2017-221oai:cds.cern.ch:22854972017-09-22 |
| spellingShingle | Particle Physics - Experiment Amos, Kieran Robert Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title | Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title_full | Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title_fullStr | Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title_full_unstemmed | Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title_short | Performance Evaluation of Multivariate Analysis Methods on the $Z \gamma$ Final State |
| title_sort | performance evaluation of multivariate analysis methods on the $z \gamma$ final state |
| topic | Particle Physics - Experiment |
| url | http://cds.cern.ch/record/2285497 |
| work_keys_str_mv | AT amoskieranrobert performanceevaluationofmultivariateanalysismethodsonthezgammafinalstate |