Speaker
Dubey, Shawn
(University of Hawaii at Manoa)
Description
In this work, we report the status of a neural network regression model trained to extract new physics (NP) parameters in Monte Carlo (MC) data. We utilize a new EvtGen NP MC generator to generate $B \rightarrow K^{*} \ell^{+} \ell^{-}$ events according to the deviation of the Wilson Coefficient $C_{9}$ from its SM value, $\delta C_{9}$. We train a convolutional neural network regression model, using images built from the the angular observables and the invariant mass of the di-lepton system, to extract values of $\delta C_{9}$ directly from MC data samples. This work is intended for future analyses at the Belle II experiment but may also find applicability at other experiments.
| Consider for long presentation | No |
|---|
Primary author
Dubey, Shawn
(University of Hawaii at Manoa)
