CDB Syncro-ATP Deterministic Pipeline

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Authors: Matteo Menegatti
Cited by: 0

Abstract

CDB Syncro-ATP Deterministic Pipeline is a fully reproducible signal processing framework designed to ensure numerical stability, auditability, and deterministic execution. The pipeline integrates synthetic load generation, controlled noise injection, moving-average filtering, an iterative core engine, and multi-seed robustness validation. All stages operate under a fixed global seed, and the full computational environment, configuration parameters, and output artifacts are explicitly recorded. The release includes hashed arrays, key performance indicators (KPIs), robustness diagnostics, and visualization outputs to support independent verification. The primary objective of this work is methodological: to provide a transparent and verifiable reference implementation demonstrating best practices in reproducible computational workflows. The framework emphasizes: deterministic execution explicit configuration tracking multi-seed robustness assessment end-to-end audit trail reproducible packaging The complete bundle contains the executable pipeline, pinned dependencies, structured outputs, and documentation required to reproduce the reported results.

Fields of Study & Subjects

Scientific Computing and Data Management Distributed and Parallel Computing Systems Engineering and Information Technology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN