GENETIS (Genetically Evolving NEuTrIno TeleScopes)
GENETIS is an ongoing research initiative that uses evolutionary algorithms to design and optimize next-generation neutrino telescopes. By simulating detector performance and applying genetic algorithms, GENETIS explores how to automatically evolve effective array layouts for detecting ultra-high energy neutrinos.
The project began as a collaboration between Prof. Amy Connolly (Ohio State University), Prof. Stephanie Wissel (Cal Poly, San Luis Obispo), and Research Scientist Kai Staats. The original GENETIS team included students and researchers from OSU, Cal Poly, and Kenyon College, and the group held its first mini-collaboration meeting alongside the 2018 APS April Meeting (see our presentation), with support from the Center for Cosmology and Astroparticle Physics (CCAPP).
Since then, GENETIS has grown and evolved, bringing in new collaborators and students while continuing its mission of innovating neutrino detector design through computational methods.
GENETIS 2018 Collaboration (Left to right) OSU Postdoc Carl Pfendner, OSU UG David Liu, Kenyon College UG Jordan Potter, OSU UG Suren Gourapura, OSU Grad Student Julie Rolla, OSU UG Ian Best, Research Scientist Kai Staats, Cal Poly Prof. Stephanie Wissel, Cal Poly UG Corey Harris, OSU Prof. Amy Connolly, Cal Poly UG Luke Letwin, OSU UG Adam Blenk, OSU UG Hannah Hasan
In 2024, the GENETIS collaboration held a new in-person meeting, bringing together the current generation of students and researchers to share progress, exchange ideas, and plan future developments.
