18 July 2023 to 7 September 2023
Europe/Berlin timezone

Improve event selection of H->lly with Machine Learning

Not scheduled
20m

Description

After finding evidence for the very rare Higgs decay to two leptons and a photon in 2021, we are now starting to re-optimize the analysis for the LHC Run 3. The previous analysis was completely based on rectangular cut-based selections and event classifications. We suggest having a summer student try out a BDT or NN to improve this. We would start with simulated samples, and with a simple ggF vs VBF classification to improve the sensitivity. Further categories and more realistic background can be added if there is time.

Breakdown: 90% physics, 10% computing

Special Qualifications:

Prerequisites: Some coding experience.

Field B1: Particle physics analysis (software-oriented)
DESY Place Hamburg
DESY Division FH
DESY Group ATLAS

Primary author

Martina Laura Ojeda (ATLAS (ATLAS Higgs Physics))

Co-authors

Birgit Stapf (ATLAS (ATLAS Higgs Physics)) Sarah Heim (DESY)

Presentation materials

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