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Data · dataset · 2026

MOGA Optimization Code Suite Coupling Linear Matching and Nonlinear Beam Dynamics with Fast DA Tracking for Low-Emittance Storage Rings and Related Datasets

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This dataset provides a Python-based code suite and comprehensive evolutionary datasets for the lattice design and optimization of fourth-generation low-emittance synchrotron storage rings, specifically targeting Multi-Bend Achromat (MBA) structures incorporating longitudinal gradient bends (LGBs) and anti-bends.

Description

Based on a multi-objective genetic algorithm (NSGA-II), the program deeply couples linear optics (Twiss parameters) matching with nonlinear beam dynamics optimization.

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.3618812 d agoJSON v1
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