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Optimization of synchrotron radiation parameters using swarm intelligence and evolutionary algorithms.

Adnan Sahin Karaca¹, Erkan Bostanci¹, Didem Ketenoglu²

¹Department of Computer Engineering, Ankara University, 06830 Ankara, Türkiye.

Journal of Synchrotron Radiation

|February 22, 2024

Summary

This summary is machine-generated.

Particle Swarm Optimization (PSO) significantly reduces synchrotron beamline alignment time by optimizing optical element parameters. This swarm intelligence approach outperforms other evolutionary algorithms for maximizing flux and minimizing spot size.

Keywords:

Be compound refractive lenses KB mirrors evolutionary algorithms multi-objective optimization swarm intelligence synchrotron beamlines

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Area of Science:

Optics and Photonics
Computational Physics
Synchrotron Radiation Science

Background:

Synchrotron beamline alignment is time-consuming, impacting experimental efficiency.
Evolutionary Algorithms (EAs) and Swarm Intelligence (SI) offer optimization solutions.
Optimizing beam flux and spot size is crucial for experimental success.

Purpose of the Study:

To optimize synchrotron beam flux and spot size for two distinct experimental setups.
To compare the performance of various EAs and SI algorithms in beamline optimization.
To identify the most effective algorithm for improving beamline efficiency.

Main Methods:

Utilized the X-ray Tracer beamline simulator.
Implemented and compared Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC).
Performed mono-objective and multi-objective optimizations, including lens positioning and Kirkpatrick-Baez mirror focal distances, with Monte Carlo simulations.

Main Results:

Particle Swarm Optimization (PSO) demonstrated superior performance across all tested setups.
Compared mono-objective algorithms before employing the multi-objective NSGA-II.
PSO consistently yielded the best results for optimizing both flux and spot size.

Conclusions:

PSO is the most effective algorithm for optimizing synchrotron beamline optical elements.
The study validates the use of SI and EAs for efficient beamline configuration.
Optimized alignment using PSO can save valuable synchrotron beam time.