Speaker
Mr
Yu Kato
(The University of Tokyo)
Description
We are developing kinematic fitter which can deal with arbitrary resolution functions. Kinematic fitting is the constrained optimization method which uses distributions of fit parameters and kinematic relations among the parameters. In order to treat non-Gaussian distributions, for example b-jet energy distribution, our kinematic fitter is implemented based on the log-likelihood method.
In this talk, we report the operation verification of our kinematic fitter using the ZH process which decays into b-jets. The b-jet resolutions are also evaluated as the input of the fitting.
| Time Zone | Asia/Pacific |
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Primary author
Mr
Yu Kato
(The University of Tokyo)
Co-authors
Tomohiko Tanabe
(KEK)
Satoru Yamashita
(University of Tokyo)
Masakazu Kurata
(University of Tokyo)
Mr
Takanori Mogi
(The University of Tokyo)
Mr
Shogo Kajiwara
(The University of Tokyo)
