Parts | Days | Selection | Search | Updates | Downloads | Help
T: Fachverband Teilchenphysik
T 9: Associated Higgs production and Higgs quantum numbers I
T 9.2: Talk
Monday, March 15, 2021, 16:15–16:30, Ti
Search for WH production at the CMS Experiment using Deep Learning Techniques — •Frederic Engelke — III. Physikalisches Institut A, RWTH Aachen University
The analysis of the associated production of a Higgs boson with a vector boson via Higgs-Strahlung provides a possibility to detect Beyond the Standardmodel (BSM) effects. For a full understanding, the VH production cross section has to be investigated very precisely.
This analysis is performed blinded in the WH → bb ℓ ν final state producing an expected upper limit on σWH. A physics process multi-classification by a deep neural network is used for the enhancement of this analysis. The used simulations correspond to the data measured by the CMS detector in 2017 amounting to a luminosity of L = 41.2 fb−1.