scholarly journals Large two dimensional Coulomb crystals in a radio frequency surface ion trap

2012 ◽  
Vol 100 (17) ◽  
pp. 171110 ◽  
Author(s):  
B. Szymanski ◽  
R. Dubessy ◽  
B. Dubost ◽  
S. Guibal ◽  
J.-P. Likforman ◽  
...  
Author(s):  
Lin-Qing Zhang ◽  
Hong-Fan Huang ◽  
Xiao-Yong Liu ◽  
Jin-Shan Shi ◽  
Zhuo Liu ◽  
...  

2002 ◽  
Vol 8 (2) ◽  
pp. 181-189 ◽  
Author(s):  
Liam A. McDonnell ◽  
Anastassios E. Giannakopulos ◽  
Peter J. Derrick ◽  
Youri O. Tsybin ◽  
Per Håkansson

The kinetic energy dependence of ions trapped in a radio-frequency (RF) hexapole ion trap has been calculated as a function of space charge, mean free path, mass, RF potential and charge. The average kinetic energy of the ions was found to increase with increasing space charge, mean free path and the ion charge state. For a trapped ion in a given coulombic field, the mass of the ion and the amplitude of the applied RF potential did not affect the average kinetic energy. The consequences for multipole-storage-assisted dissociation (MSAD), in which ions are accumulated for prolonged periods of time in the multipole ion trap of an electrospray ion source, are discussed. As a result of radial stratification inside the ion trap, MSAD can lead to the preferential excitation of ions with larger m/z values. Such discrimination would have negative consequences for the detection of labile non-covalent adducts, which are normally detected at higher m/z values than their constituent species.


2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986099 ◽  
Author(s):  
Yulu Fu ◽  
Ran Liu ◽  
Hua Zhang ◽  
Gaoli Liang ◽  
Shafiq ur Rehman ◽  
...  

Due to the unique and contactless way of identification, radio-frequency identification is becoming an emerging technology for objects tracking. As radio-frequency identification does not provide any distance or bearing information, positioning using radio-frequency identification sensor itself is challenging. Two-dimensional laser range finders can provide the distance to the objects but require complicated recognition algorithms to acquire the identity of object. This article proposes an innovative method to track the locations of dynamic objects by combining radio-frequency identification and laser ranging information. We first segment the laser ranging data into clusters using density-based spatial clustering of applications with noise (DBSCAN). Velocity matching–based approach is used to track the location of object when the object is in the radio-frequency identification reading range. Since the radio-frequency identification reading range is smaller than a two-dimensional laser range finder, velocity matching–based approach fails to track location of the object when the radio-frequency identification reading is not available. In this case, our approach uses the clustering results from density-based spatial clustering of applications with noise to continuously track the moving object. Finally, we verified our approach on a Scitos robot in an indoor environment, and our results show that the proposed approach reaches a positioning accuracy of 0.43 m, which is an improvement of 67.6% and 84.1% as compared to laser-based and velocity matching–based approaches, respectively.


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