The PENTATRAP experiment
The Penning-trap mass spectrometer PENTATRAP performs mass-ratio measurements on long-lived, highly charged, heavy ions with a precision on the order of δm/m <= 10-11 or better. Unique for PENTATRAP are the synchronously operated five traps [1,2], a self-build ultrastable voltage source  and access to external ion sources [4,5].
The complete experiment extends over two floors. The ion sources and the beamline are located on the ground floor of the experimental hall at the MPIK. For stable experimental conditions the magnet is housed one floor below in a temperature and pressure stabilized lab.
Current members (Links to theses performed at PENTATRAP):
- Menno Door (Bachelor thesis , Master thesis)
- Dr. Sergey Eliseev (PI, Habilitation treatise )
- Dr. Pavel Filianin (PhD thesis )
- Dr. Wenjia Huang
- Kathrin Kromer (Master thesis )
- Daniel Lange (Bachelor thesis )
- Christoph Schweiger (Master thesis )
- Yuri Novikov
- Olesia Bezrodnova
Dr. Rima Schüssler (Master thesis , PhD thesis ), Jost Herkenhoff (Bachelor thesis ), Charlotte König (Master thesis ), Dr. Alexander Rischka (Bachelor thesis , Master thesis , PhD thesis ), Marius Müller (Bachelor thesis ), Janina Engelhardt, Dr. Andreas Dörr (PhD thesis ), Dr. Christine Böhm (PhD thesis ), Dr. Mikhail Goncharov (PhD thesis ), Dr. Julia Repp (PhD thesis ), Dr. Christian Roux (PhD thesis ), Dr. Sebastion George (PhD thesis )
The research within the framework of the PENTATRAP project has close affiliation with the goals of the Extreme Matter Institute (EMMI) at GSI/Darmstadt . The institute was created by the Helmholtz Alliance "Extremes of Density and Temperature: Cosmic Matter in the Laboratory". This Alliance connects GSI with 7 national partners (among them the Max Planck Institute for Nuclear Physics at Heidelberg) as well as 4 international partners. With EMMI Europe will get a unique infrastructure for interdisciplinary investigations of matter under extreme conditions.
Bachelor thesis at PENTATRAP
Electron Beam Ion Trap (EBIT): pdf, 305 KB
ERC Advanced Grant
This project receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 832848 - FunI .