Evolving Antennas for Ultra-High Energy Neutrino Detection

TL;DR

This paper presents the development of genetic algorithms to design antennas with enhanced sensitivity for ultra-high energy neutrino detection, integrating electromagnetic modeling with neutrino experiment simulations.

Contribution

It introduces a novel approach using evolutionary algorithms to optimize antenna designs specifically for neutrino detection sensitivity.

Findings

Genetic algorithms successfully evolved antenna designs with improved neutrino sensitivity.

Optimized antenna response patterns tailored to specific array geometries.

Evolved antennas demonstrate potential for enhanced ultra-high energy neutrino detection.

Abstract

Evolutionary algorithms borrow from biology the concepts of mutation and selection in order to evolve optimized solutions to known problems. The GENETIS collaboration is developing genetic algorithms for designing antennas that are more sensitive to ultra-high energy neutrino induced radio pulses than current designs. There are three aspects of this investigation. The first is to evolve simple wire antennas to test the concept and different algorithms. Second, optimized antenna response patterns are evolved for a given array geometry. Finally, antennas themselves are evolved using neutrino sensitivity as a measure of fitness. This is achieved by integrating the XFdtd finite-difference time-domain modeling program with simulations of neutrino experiments.