[Jlab-seminars] TODAY - Shawn Dubey - Physics Division Seminar

[Jennifer Finch]

Hybrid Physics Division Seminar
Shawn Dubey
University of Hawaii



Machine Learning for New Physics in B → K∗μ+μ− Decays

Abstract:
We report the status of a neural network regression
model trained to extract new physics (NP) parame-
ters in Monte Carlo (MC) data. We utilize a new
EvtGen NP MC generator to generate B → K∗μ+μ−
events according to the deviation of the Wilson Co-
efficient C9 from its SM value, δC9, for different δC9
values. We train a three-dimensional ResNet regres-
sion model, using images built from the the angular
observables and the square of the invariant mass of
the di-muon system, to extract values of δC9 directly
from MC data samples. This work is intended for fu-
ture analyses at the Belle II experiment but may also
find applicability at other experiments.

May 15th @ 11 AM – 12 PM
CEBAF Center Auditorium
Zoom Link Here<https://jlab-org.zoomgov.com/j/1600656386?pwd=L2NYbWlITkZzSjc4NGl0eXFsTURLdz09>



Jennifer McAllister

She/Hers/Her   INFJ-T

Administrative Support - Physics Division

Thomas Jefferson National Accelerator Facility www.jlab.org<https://www.jlab.org/>

757-269-7151 | finch at jlab.org<mailto:finch at jlab.org>

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