PNMS Mode B Method — Constructive Operation of GORR: Φ_R

Definition of the constructive operational mode (Mode B) for the PNMS operator Φ_R. In this mode, a state is specified directly in signature space, converted to SI quantities through the inverse projection, and used as input to a physical model. The model output is then re-projected into signature space to compare the initial and resulting states. The document defines the inversion procedure, constraint surfaces associated with physical models, and the closed operation Σ* → Σ_out used to evaluate structural consistency. It also describes the role of primary and induced rows and establishes the architectural relation between the PNMS instrument definition, branch documents for specific model families, and their associated case studies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-08
DOI
https://doi.org/10.5281/zenodo.18910952
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
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article

PNMS Mode B Method — Constructive Operation of GORR: Φ_R

Lami Lami
Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
article

PNMS Mode B Method — Constructive Operation of GORR: Φ_R

Lami Lami
article en

Abstract

Definition of the constructive operational mode (Mode B) for the PNMS operator Φ_R. In this mode, a state is specified directly in signature space, converted to SI quantities through the inverse projection, and used as input to a physical model. The model output is then re-projected into signature space to compare the initial and resulting states. The document defines the inversion procedure, constraint surfaces associated with physical models, and the closed operation Σ* → Σ_out used to evaluate structural consistency. It also describes the role of primary and induced rows and establishes the architectural relation between the PNMS instrument definition, branch documents for specific model families, and their associated case studies.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 29%
Model Reduction and Neural Networks
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