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Students Studying
Students are studying in the physics library

The National Research Council rankings of graduate programs has placed UH Mānoa Department of Physics and Astronomy in the top 12 of all US programs.  The department has an extensive laboratory and classroom building, Watanabe Hall.  It has about 37,000 square feet of research and teaching laboratories, shops, classrooms with special demonstration facilities, and student study rooms.  The Institute for Astronomy building, located above the Mānoa campus, is a greatly expanded facility for research in astronomy and astrophysics.

Department Events:

Latest News

Space Weather Stations

The University of Hawaiʻi at Mānoa held a blessing for two new neutron monitor stations atop Haleakalā on January 8, 2025.  The two stations are the Haleakalā Neutron Monitor Station (HLEA) and the Thailand-Hawaiʻi Monitor (THIMON) and funded by a $2.5 million National Science Foundation grant. The ribbon-cutting ceremony of the neutron monitor facility was preceded by a workshop attended by more than 40 scientists from around the world, from Europe and Asia to South America. 

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Peter Lewis and Siqi Li

New UHM Physics Professors, Siqi Li and Peter Lewis, win DOE EPSCOR grants

New UH Manoa Physics Assistant Professors Siqi Li and Peter Lewis win DOE EPSCOR grants. Assistant Professor Li awarded $994,320 over the next four years to study how electrons and light interact in a free-electron laser. At the same time, Assistant Professor Peter Lewis has also been awarded $906,897 to investigate further gaseous detectors that can detect particles in various fields, from dark matter to particle physics.

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Philip von Doetinchem

Physics Professor Philip von Doetinchem awarded a $600,000 grant from National Science Foundation

University of Hawai’i at Manoa Physics Professor Professor Philip von Doetinchem’s Cosmic Ray Antiparticle (CRA) group has been awarded a $600,000 grant from the National Science Foundation. The team members, Dr. P. von Doetinchem, postdoctoral researcher Anirvan Shukla, and graduate students Bobby Lyon and Ammar Bayyari, use machine learning advanced data analysis techniques to investigate rare antiparticles from data obtained with the upgraded AMS-02.

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