Simulation of the SONGS Reactor Antineutrino Flux Using DRAGON
C. L. Jones
TL;DR
This paper uses the deterministic code DRAGON to simulate and analyze the antineutrino flux from the SONGS reactor, focusing on fuel composition and isotopic evolution to aid neutrino experiments.
Contribution
It demonstrates DRAGON's capability to accurately predict antineutrino rates over multiple fuel cycles at a commercial reactor.
Findings
DRAGON effectively predicts antineutrino flux for consecutive fuel cycles.
The study enhances understanding of isotopic evolution in reactor fuel.
Results support improved modeling for neutrino physics experiments.
Abstract
For reactor antineutrino experiments, a thorough understanding of the fuel composition and isotopic evolution is of paramount importance for the extraction of . To accomplish these goals, we employ the deterministic lattice code DRAGON, and analyze the instantaneous antineutrino rate from the San Onofre Nuclear Generating Station (SONGS) Unit 2 reactor in California. DRAGON's ability to predict the rate for two consecutive fuel cycles is examined.
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Taxonomy
TopicsParticle accelerators and beam dynamics · Nuclear physics research studies · Neutrino Physics Research