Possible topics for theses
Physics analysis with the CMS experimentCopyright: Oliver Pooth
Join us investigating new phenomena of elementary particles and study interesting physics at the frontier of current knowledge. In the field of object-oriented software development, you will learn Monte Carlo methods, techniques of statistical data analysis and worldwide distributed computing on the Grid in the context of a modern high-energy physics experiment.
If interested in a thesis please just come visit us.
Possible topics can be found here.
Contact: Achim Stahl
CMS detector development for the running at HL-LHCCopyright: Nicolas Röwert
For the operation of the CMS experiment at the scheduled HL-LHC, the inner silicon tracking detector of CMS will be renewd. The work for installation in the year 2024 is already at full swing. We are working on so-called 2S detector modules whose sensitive area is made from two silicon strip sensors. Important aspects of our work: wire bonding, readout electronics and detector tests.
Contact: Oliver Pooth
Detector development with SiPMsCopyright: Oliver Pooth
We concentrate on the development and optimization of detectors, that are read out with SiPMs. Our focus is on the detection of highly energetic muons. The detectors originally developed for the CMS experiment have led to interesting spin-offs, e.g. the detection of fast neutrons or a lab class experiment on the roof of the physics center for the detection of cosmic air showers.
Contact: Oliver Pooth
Grid computing for the CMS experimentCopyright: Andreas Nowack
Annually, the CMS experiment records several petabytes of measured and simulated data, which are processed using grid computing in the Worldwide LHC Computing Grid (WLCG). The WLCG consists of approximately 150 computing centers with more than 460,000 processor cores and more than 254,000 terabytes of disk space, which are globally networked via the Internet. Within the WLCGs, physicists can access the data of the CMS experiment and evaluate them.
Our Institute operates a large computer cluster with more than 5,600 processor cores and over 3,900 terabytes of disk space. These resources are part of the WLCGs.
An overview of the theses that we offer can be found here.
Contact: Andreas Nowack