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Area of Science:

  • Atomic and Molecular Physics
  • Quantum Control
  • Accelerator Physics

Background:

  • Zeeman deceleration selectively slows specific particles, but initial conditions limit efficiency.
  • Maximizing decelerated particle numbers requires optimizing the device's phase-space acceptance.

Purpose of the Study:

  • To investigate the efficacy of covariance matrix adaptation evolutionary strategy (CMA-ES) for optimizing Zeeman decelerator performance.
  • To assess CMA-ES benefits for long decelerators and diverse particle species beyond hydrogen atoms.

Main Methods:

  • Three-dimensional particle trajectory simulations were utilized.
  • Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) was employed for optimizing decelerator sequences.
  • Simulations considered decelerators with >12 stages and various atomic/molecular species.

Main Results:

  • CMA-ES optimized sequences substantially increased the number of particles within the target velocity range across all scenarios.
  • A 5921% increase in decelerated H atoms was observed in a 24-stage decelerator using CMA-ES.
  • CMA-ES effectively mitigated particle losses caused by coupled longitudinal and transverse motion.

Conclusions:

  • CMA-ES is a powerful tool for optimizing phase-space acceptance in Zeeman decelerators.
  • This optimization strategy significantly enhances deceleration efficiency, particularly in challenging scenarios.
  • The method shows broad applicability for various particle species and decelerator configurations.