Description
Hadronically decaying tau leptons are powerful probes for electroweak physics. The precise measurement of their properties is key to measuring the properties of vector and scalar bosons, as well as the structure of the Yukawa coupling. This project focuses on exploiting machine learning techniques to reconstruct tau decays in collider experiments, as well as achieve an optimal reconstruction of their properties.
Special Qualifications:
Decent knowledge of python programming language.
A basic understanding of physics reconstruction at collider experiments would be useful to expedite the start of the project.
| Field | B1: Particle physics analysis (software-oriented) |
|---|---|
| DESY Place | Hamburg |
| DESY Division | FH |
| DESY Group | CMS |
Primary author
Andrea Cardini
(CMS (CMS Fachgruppe HIGGS))
Co-authors
Mykyta Shchedrolosiev
(CMS (CMS Fachgruppe Searches))
Soham Bhattacharya
(CMS (CMS Fachgruppe Searches))
