Philip von Doetinchem
Physics & Astronomy Department (Wat 430)
University of Hawaii at Manoa
Phone: +1-808-956-3719
Time in Honolulu:

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My research is devoted to the development and analysis of cosmic-ray detectors, especially using cosmic-ray antinuclei as messengers of new physics. I enjoy working on a wide variety of tasks, from electronics testing and finding mechanical solutions over software development and flight operations to data analysis. More information on my research can be found here.

My group is a member of the AMS-02 collaboration. AMS-02 is the multi-purpose cosmic-ray flagship experiment on the International Space Station. As a graduate student and postdoctoral researcher, I contributed to the development, integration, and testing of the hardware. My group is currently working on the cosmic-ray antinuclei and deuteron data analyses.

My group is also a member of the GAPS collaboration, which is a dedicated next-generation low-energy cosmic-ray antinuclei experiment. We had a successful GAPS prototype flight from Taiki, Japan in 2012. The funding for the full payload was approved in fall 2016, and we are in the process of constructing the experiment. Check out the GAPS AR App, which was developed by UH students.

Furthermore, my group is a limited member of the NA61/SHINE collaboration. NA61/SHINE is a fixed target experiment that the group uses to measure the production cross-sections of (anti)deuterons and antiprotons in proton-proton and other heavier ion collisions to reduce systematic uncertainties for the cosmic-ray interpretation.

Together with other colleagues, I also organize cosmic-ray antideuteron workshops. The latest iteration took place in March 2019. Please click on the logo for more information.


News: Education:
2009 Dr. rer. nat. (Ph.D.) in Physics RWTH Aachen University, Germany
Search for Cosmic-Ray Antiparticles with Balloon-borne and Space-borne Experiments
[full resolution, arXiv:0903.1987]
2004 Diploma in Physics RWTH Aachen University, Germany
Separation of Leptons and Hadrons with the Transition Radiation Detector of AMS-02 using neural Networks
[German version]

Philip von Doetinchem - 2022