Realistic modeling of ion cloud motion in a Fourier transform ion cyclotron resonance cell by use of a particle‐in‐cell approach

Nikolaev, E. N.; Heeren, Ron M. A.; Popov, A. M.; Pozdneev, A. V.; Chingin, Konstantin

doi:10.1002/rcm.3234

Cited by 76 publications

(83 citation statements)

References 58 publications

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“…In simulations, hypothetical scenarios are created in which trapped ions experience realistic features of an ion trap electrical field and operating conditions, which are close to experiments [4,5,[35][36][37][38][39][40][41]. Discrete ion-molecule collision [4,39,41] and space charge effects [35,36] are included in the simulation settings. The simulation approach is especially powerful for system optimization and fine feature tuning.…”

mentioning

confidence: 99%

Ion trap mass analysis at high pressure: A theoretical view

Song

Smith

et al. 2009

J. Am. Soc. Mass Spectrom.

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The mass-selective manipulation of ions at elevated pressure, including mass analysis, ion isolation, or excitation, is of great interest for the development of mass spectrometry instrumentation, particularly for systems in which ion traps are employed as mass analyzers or storage devices. While experimental exploration of high-pressure mass analysis is limited by various difficulties, such as ion detection or electrical discharge at high-pressure, theoretical methods have been developed in this work to study ion/neutral collision effects within quadrupole ion traps and to explore their performance at pressures up to 1 Torr. Ion trapping, isolation, excitation, and resonance ejection were investigated over a wide pressure range. The theoretically calculated data were compared with available experimental data for pressures up to 50 mTorr, allowing the prediction of ion trap performance at pressures more than 10 times higher. (J Am Soc Mass

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confidence: 99%

Ion trap mass analysis at high pressure: A theoretical view

Song

Smith

et al. 2009

J. Am. Soc. Mass Spectrom.

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“…For a multiparticle system computing it is important that the PIC methods filtering out the short range interaction between the individual particles are numerically less diffusive when compared to the other simulation techniques that presume high calculation accuracy [17,18]. The PIC method requires that all particles of a small phase space element are described by one computational particle or superparticle.…”

Section: Simulationmentioning

confidence: 99%

“…The charge density ρ ijk in the mesh nodes is determined through a volume-weighting assignment scheme for the simulation suiperparticles. Because the computational mesh is periodical, the fast Fourier transform (FFT) method is accepted for Poisson equation solving [18]. The FFT method permits to replace eq.…”

Section: Simulationmentioning

confidence: 99%

Simulation of plasma confinement in an electron cyclotron resonance zero-B trap

Dugar-Zhabon¹,

Umnov²,

Murillo-Acevedo³

2015

Iteckne

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Resumen-Actualmente el estudio del comportamiento de plasmas en campos magnetostáticos asimétricos de configuración compleja solo es posible a través de simulación computacional. La eficiencia de confinamiento del plasma en una trampa cero-B, el cual es comprimido longitudinalmente por un espejo magnético y transversalmente por el campo de un hexapolo magnético, es determinada a través del método de partícula en celda electrostático. En el modelo simulado el plasma es calentado por microondas de 14 GH cuya potencia es transmitida a los electrones mediante resonancia ciclotrónica. La distribución espacial de la componete iónica y electrónica es mostrada. Se encuentra que la población electrónica puede ser dividida en tres grupos, fríos, calientes y super calientes. Los datos obtenidos para la distribución de la densidad tanto radial como longitudinal son comparados con las mismas distribuciones encontradas para la trampa mínimo-B. Como resultado se encuentra que la trampa cero-B presenta algunas ventajas frente a la trampa mínimo-B.Palabras clave-Trampa magnética, resonancia ciclotrónica electrónica, simulación mediante el método partícula en celda.Abstract-Currently the study of the nonlinear plasma evolution in magnetostatic fields of complex asymmetrical configurations is possible only through computer simulations. The confinement efficiency of plasma by a magnetic zero-B trap which is comprised of longitudinal mirror and transversal hexapole cusp fields is determined through a particle-in-cell method in the electrostatic approximation. In the simulation model the plasma heating by 14 GHz microwave power is realized at electron cyclotron resonance conditions. The space localizations of electron and ion components are visualized. It is found that the plasma electron population can be subdivides into cold, hot and superhot groups. The obtained data for the ion density distribution along radial and longitudinal trap directions are compared with the same distributions calculated for the case of minimum-B trap. It is found that the zero-B trap has some advantage over the minimum-B trap in reference to the Lawson criterion.

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“…Mass shifts exist for some compounds in spectra acquired from different spots on a tissue section, and they can be caused by the conditions used for mass analysis and the composition of the sample matrix [51][52][53][54][55]. Peak alignment allows the assignment of the correct m/z value to a compound uniformly for all the pixels on a tissue section or in a tissue volume, based on the statistical analysis of the spectra and the mass accuracy and resolution of the mass spectrometer.…”

Section: Data Reductionmentioning

confidence: 99%

Data Processing for 3D Mass Spectrometry Imaging

Xiong

Eberlin

et al. 2012

J. Am. Soc. Mass Spectrom.

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Data processing for three dimensional mass spectrometry (3D-MS) imaging was investigated, starting with a consideration of the challenges in its practical implementation using a series of sections of a tissue volume. The technical issues related to data reduction, 2D imaging data alignment, 3D visualization, and statistical data analysis were identified. Software solutions for these tasks were developed using functions in MATLAB. Peak detection and peak alignment were applied to reduce the data size, while retaining the mass accuracy. The main morphologic features of tissue sections were extracted using a classification method for data alignment. Data insertion was performed to construct a 3D data set with spectral information that can be used for generating 3D views and for data analysis. The imaging data previously obtained for a mouse brain using desorption electrospray ionization mass spectrometry (DESI-MS) imaging have been used to test and demonstrate the new methodology.

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Realistic modeling of ion cloud motion in a Fourier transform ion cyclotron resonance cell by use of a particle‐in‐cell approach

Cited by 76 publications

References 58 publications

Ion trap mass analysis at high pressure: A theoretical view

Ion trap mass analysis at high pressure: A theoretical view

Simulation of plasma confinement in an electron cyclotron resonance zero-B trap

Data Processing for 3D Mass Spectrometry Imaging

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