Sforza, F. (2011) Diboson search and multivariate tools in the pp¯→ lν + heavy flavor channel at CDF. Il nuovo cimento C, 34 (6). pp. 88-90. ISSN 1826-9885
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Abstract
This paper describes the application of machine learning techniques to the diboson search in the lepton plus neutrino plus heavy flavor jets channel at CDF. Three different aspects of this challenging search are analyzed: multijet background rejection with the use of a support vector machine discriminant, light/heavy flavor jets separation with a 26 input variable neural network and b-jet specific energy corrections, where a resolution improvement is obtained feeding a neural network with both calorimeter and tracking information.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Gauge bosons |
| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Apr 2020 14:44 |
| Last Modified: | 10 Apr 2020 14:44 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/17518 |
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