FIRESONG: A python package to simulate populations of extragalactic neutrino sources
C. F. Tung, Theo Glauch, M. J. Larson, A. Pizzuto, R. Reimann, I. Taboada
Abstract
Neutrinos provide a new perspective on the universe. Due to their weak interaction with matter, neutrinos carry information from places where electromagnetic radiation, e.g., gamma rays, cannot escape. Though astrophysical neutrinos have been detected, the class or classes of objects that produce them have not been unequivocally identified. FIRESONG simulations populate the universe with neutrino sources. These simulations can be used, among other things, to study if a given class of astronomical sources is viable to explain measured astrophysical neutrinos.
Topics & Concepts
Python (programming language)NeutrinoPhysicsComputer scienceProgramming languageAstronomyParticle physicsAstrophysics and Cosmic PhenomenaRadio Astronomy Observations and TechnologyNeutrino Physics Research