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FIRESONG: A python package to simulate populations of extragalactic neutrino sources

Authors: Chun Fai Tung; Theo Glauch; Michael Larson; Alex Pizzuto; Rene Reimann; Ignacio Taboada;

FIRESONG: A python package to simulate populations of extragalactic neutrino sources

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, and calculate their neutrino flux measured on Earth. These simulations can be used, among other things, to study if a given class of astronomical sources is viable to explain measured astrophysical neutrinos.

Keywords

Neutrino Astronomy, Hig-energy astrophysics, Multimessenger astronomy, Cosmic Rays

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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