Multi-view DT neutron spectroscopy provides a promising route for diagnosing complex flow structures inside inertial-confinement-fusion hot spot, yet the sensitivity and specificity of spectral observables to different flow modes have not been systematically quantified. In this work, we develop a multi-view neutron-spectrum framework for analyzing complex hot-spot flows. The velocity field is represented by a parameterized set of physically interpretable modes, and a unified forward model is constructed to map temperature, density, and three-dimensional flow fields to synthetic DT neutron spectra observed from multiple directions. The model consistently includes local thermal broadening, temperature-dependent line-center shifts, line-of-sight Doppler mapping, and finite detector solid-angle effects. From the spectra, we extract spectral moments, Gauss-Hermite coefficients, full-spectrum residuals, and angular residual coefficients to measure sensitivity and how well different flow modes can be told apart. Among these observables, the angular residual coefficients carry the strongest mode information.
Systematic scans show that multi-view spectra are most sensitive to large-scale flows. Spherically symmetric expansion under isotropic temperature mainly causes an almost view-independent change in the spectrum, so it provides limited information on flow structure. In contrast, shear-like and non-axisymmetric flows produce clear view-dependent changes in spectral centroid and shape, making them easier to identify. Low-order modes with clear angular symmetry are the easiest to distinguish, whereas higher-order or smaller-scale structures are more prone to degeneracy because of spatial averaging. These results show that multi-view DT neutron spectroscopy can constrain flow amplitude as well as broad flow type and symmetry, providing a quantitative guide to the flow structures that are most diagnosable in the inertial confinement fusion hot spot.

Hot-Spot Flow,Neutron Spectra,nuclear diagnostic