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Optimization of mass spectrometers using the adaptive particle swarm algorithm
Author(s) -
Bieler A.,
Altwegg K.,
Hofer L.,
Jäckel A.,
Riedo A.,
Sémon T.,
Wahlström P.,
Wurz P.
Publication year - 2011
Publication title -
journal of mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 1076-5174
DOI - 10.1002/jms.2001
Subject(s) - reflectron , mass spectrometry , particle swarm optimization , spectrometer , chemistry , algorithm , hybrid mass spectrometer , multi swarm optimization , ion , time of flight mass spectrometry , computer science , optics , physics , chromatography , tandem mass spectrometry , selected reaction monitoring , ionization , organic chemistry
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. Copyright © 2011 John Wiley & Sons, Ltd.