Machine Learning for New Physics Searches in B → K 0 µ + µ − Decays
Machine Learning for New Physics Searches in B → K 0 µ + µ − Decays
About this item
Full title
Author / Creator
Dubey, S. , Browder, T. E. , Kohani, S. , Mandal, R. , Sibidanov, A. , Sinha, R. and Vahsen, S.E.
Journal title
Language
English
Formats
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Scope and Contents
Contents
We report the status of a neural network regression model trained to extract new physics (NP) parameters in Monte Carlo (MC) simulation data. We utilize a new EvtGen NP MC generator to generate
B → K*
0
µ
+
µ
−
events according to the deviation of the Wilson Coefficient
C
9
from its SM value, δ
C
9
. We train...
Alternative Titles
Full title
Machine Learning for New Physics Searches in B → K 0 µ + µ − Decays
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1051_epjconf_202429509024
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1051_epjconf_202429509024
Other Identifiers
ISSN
2100-014X
E-ISSN
2100-014X
DOI
10.1051/epjconf/202429509024
