Quantum Estimation Theory Limits in Neutrino Oscillation Experiments
Claudia Frugiuele, Marco G. Genoni, Michela Ignoti, Matteo G. A. Paris

TL;DR
This paper uses quantum estimation theory to evaluate the optimality of flavor measurements in neutrino oscillation experiments, revealing their strengths and limitations for different parameters and guiding future experimental design.
Contribution
It provides a quantitative analysis of the information content in flavor measurements for neutrino parameters, highlighting their optimality for some and suboptimality for others like δ_CP.
Findings
Flavor measurements saturate QFI for mixing angles at the first oscillation maximum.
They are far from optimal for δ_CP, with sensitivity improving at the second maximum.
The quantum information about δ_CP is intrinsically limited compared to mixing angles.
Abstract
Measurements of the Pontecorvo-Maki-Nakagawa-Sakata (PMNS) neutrino mixing parameters have entered a precision era, enabling increasingly stringent tests of neutrino oscillations. Within the framework of quantum estimation theory, we investigate whether flavor measurements, the only observables currently accessible experimentally, are optimal for extracting the oscillation parameters. We compute the Quantum Fisher Information (QFI) and the classical Fisher Information (FI) associated with ideal flavor projections for all oscillation parameters, considering accelerator muon (anti)neutrino and reactor electron antineutrino beams propagating in vacuum. Two main results emerge. First, flavor measurements saturate the QFI at the first oscillation maximum for , , and , demonstrating their information-theoretic optimality for these parameters. In…
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Taxonomy
TopicsNeutrino Physics Research · Particle physics theoretical and experimental studies · Dark Matter and Cosmic Phenomena
