Bonn 2020 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 47: Neural networks and systematic uncertainties

T 47.7: Vortrag

Mittwoch, 1. April 2020, 18:00–18:15, H-HS IV

Use of Deep Learning techniques in the search for the Higgs boson decay to pair of charm quarks at CMS — Andrey Pozdnyakov¹, Xavier Coubez^1,2, Luca Mastrolorenzo¹, Spandal Mondal¹, Andrzej Novak¹, Alexander Schmidt¹, and •Guillermo Rocamora Pérez¹ — ¹RWTH Aachen, Germany — ²Brown University, Providence, USA

With the increasing amount of data expected from the Large Hadron Collider, the Higgs boson coupling to second generation fermions is becoming accessible to the experiments. Already now machine learning techniques such as Deep Neural Networks (DNNs) are playing a crucial role in many physics analyses. This presentation shows how a DNN is used in improving the sensitivity of the search for the H->cc decay.