Speakers
Description
Detecting and identifying electrons in the forward region (
|eta| > 2.5 outside the ATLAS tracker acceptance ) it is an
unique feature of the ATLAS experiment. Precise energy
calibration of those electrons is essential for many physics
analyses, particularly in measurements related to the
electroweak mixing angle. Accurate calibration ensures
consistency between data and Monte Carlo (MC) simulations,
improving the overall precision of key electroweak observables.
The student will gain an understanding of electron
reconstruction in the forward region of ATLAS and the methods
used to calibrate their energy response. Our group has played
a leading role in forward electron calibration during Run 2,
where a multivariate analysis (MVA)-based method was
developed to predict electron energy and a dedicated
calibration procedure was implemented to align the response
between data and MC. For Run 3, the student will apply the
existing Run 2 MVA-based calibration approach to new data,
ensuring its validity and performance in the updated detector
and data-taking conditions. Building upon this foundation, the
student will contribute to the calibration of forward electrons in
Run 3, which will be an integral part of the ATLAS electron and
photon (egamma) calibration recommendations for Run3. This
project provides an opportunity to work on a key aspect of
ATLAS calibration, gaining hands-on experience with data
analysis, machine learning techniques, and the calibration
framework used in high-energy physics experiments.
Special Qualifications
Programming Languages, Statistical Test
| Group | FH-ATLAS |
|---|---|
| Project Category | B1. Physics data analysis and performance (software-oriented) |
| DESY Site | Hamburg |
