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Beichen Zheng

Publications and source records attributed to Beichen Zheng.

3 recordsLinked to original sources

Admissible Reconstruction of Reaction-Channel Levels on Fixed Subgroup Support for Cross-Section-Space Probability Table Constructions

In cross-section-space probability table constructions, reaction-channel levels are reconstructed on fixed total-subgroup nodes and probabilities. Although the standard full-matching reconstruction is uniquely determined, it does not in general preserve componentwise nonnegativity of the channel levels. We impose nonnegativity both for physical interpretability and because, on fixed positive total-subgroup nodes and probabilities, it provides a sufficient structural condition for nonnegativity of the folded effective cross section over all dilutions. We therefore formulate an admissible constrained reconstruction problem on the fixed subgroup support, in which selected low-order channel information is retained exactly and the remaining matching conditions are fitted in a weighted least-squares sense. After null-space reduction, the problem becomes a convex optimization problem with linear inequality constraints. For the single-retention formulation, nonnegative feasibility is automatic when the retained \(0\)-order aggregate is nonnegative, whereas for a two-retention variant it additionally requires a compatibility condition with the fixed total-subgroup nodes. Numerical results for a representative U-238 capture benchmark show that nonnegativity violations are confined to a small subset of energy groups. On these groups, the admissible reconstruction restores nonnegativity, but at the cost of some response-level deterioration relative to full matching. In the comparison, the single-retention formulation shows the more stable overall behavior.

physics.comp-ph

A finite-precision Lanczos-Golub-Welsch route to probability-table construction in resonance self-shielding

This work reformulates Chiba's affine-order prescription as a polynomial-moment problem for a transformed positive measure, and develops an alternative finite-precision construction route based on this reformulation. The proposed construction proceeds through discrete-measure realization, symmetric Lanczos reduction, and Golub--Welsch extraction, replacing the conventional moment--Pade pipeline. The subgroup total levels and probabilities are obtained by a Gauss-type compression step that preserves nonnegative-realness, while the reaction-channel levels are recovered on the compressed nodes by orthogonal-basis matching. In five tested resonance-channel cases, the proposed construction yields lower effective-cross-section errors and avoids the order-induced emergence of complex responses observed in the conventional construction.

physics.comp-ph

Robust Subgroup Method Using DE Algorithm for Resonance Self-Shielding Calculation

This paper presents an enhanced version of the subgroup method for resonance self-shielding treatment, termed the robust subgroup method, which integrates Robust Estimation (RE) with a Differential Evolution (DE) algorithm. The RE approach is employed to handle model misspecification and data contamination, while the DE algorithm serves as an optimization tool within the RE framework to obtain constrained solutions. Numerical validation against experimental benchmarks shows that the proposed method removes a systematic absorption bias in conventional subgroup fits that would otherwise depress reactivity. This bias appears only in benchmarks sensitive to U-238. Mechanistically, it reflects a threshold-like conditioning failure: strong self-shielding leverage dominates the loss and is magnified by dilution-induced multicollinearity. This adverse conditioning appears to be seeded by a narrow, sparse resonance structure at low energies in fertile even-even nuclides, thereby causing rapid self-shielding response saturation and a weak Doppler broadening. By bounding influence and enforcing feasibility within an RE-DE framework, the inferred subgroup parameters track the underlying physics more faithfully, improving the predictive fidelity of subsequent transport simulations.

physics.comp-ph