Optimization of mass spectrometers using the adaptive particle swarm algorithm |
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Authors: | Bieler A Altwegg K Hofer L Jäckel A Riedo A Sémon T Wahlström P Wurz P |
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Institution: | Physikalisches Institut, University of Bern, CH-3012 Bern, Switzerland. bieler@space.unibe.ch |
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Abstract: | Optimization of mass spectrometers using the adaptive particle swarm algorithm (APSA) is described along with implementations for ion optical simulations and various time-of-flight (TOF) instruments. The need for in situ self optimization is addressed through discussion of the reflectron TOF mass spectrometer (RTOF) on the European Space Agency mission Rosetta. In addition, a tool for optimization of laboratory mass spectrometers is presented and tested on two different instruments. After the application of APSA optimization, a substantial increase in performance for mass spectrometers that have manually been tuned for several weeks or months is demonstrated. |
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Keywords: | particle swarm optimization Rosetta SIMION 67P/Churyumov‐Gerasimenko |
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