Relative State Selective Capture Cross Sections for Low Energy Collisions between Highly Charged Bare Ions and Neutral Atoms

James A. Perez; Ronald E. Olson

doi:10.1016/j.nimb.2005.07.017

Relative State Selective Capture Cross Sections for Low Energy Collisions between Highly Charged Bare Ions and Neutral Atoms

James A. Perez
, Ronald E. Olson

Physics

Research output: Contribution to journal › Article › peer-review

Abstract

Relative state selective (n) single electron capture cross sections are calculated for low energy collisions involving bare oxygen and nitrogen ions and neutral H and O, using a three body classical trajectory Monte Carlo (CTMC) method. The population of states are studied as a function of relative collision speed and ionization potential of the active target electron, and compared with other theoretical calculations and experimental data.

Original language	American English
Journal	Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
DOIs	https://doi.org/10.1016/j.nimb.2005.07.017
State	Published - Dec 1 2005

Keywords

CTMC
Charge Transfer
Collisions (Nuclear physics)
Highly Charged Ions
Low Energy Collisions

Disciplines

Physics

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10.1016/j.nimb.2005.07.017License: Unspecified

https://doi.org/10.1016/j.nimb.2005.07.017

Cite this

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title = "Relative State Selective Capture Cross Sections for Low Energy Collisions between Highly Charged Bare Ions and Neutral Atoms",

abstract = " Relative state selective (n) single electron capture cross sections are calculated for low energy collisions involving bare oxygen and nitrogen ions and neutral H and O, using a three body classical trajectory Monte Carlo (CTMC) method. The population of states are studied as a function of relative collision speed and ionization potential of the active target electron, and compared with other theoretical calculations and experimental data.",

keywords = "CTMC, Charge Transfer, Collisions (Nuclear physics), Highly Charged Ions, Low Energy Collisions",

author = "Perez, \{James A.\} and Olson, \{Ronald E.\}",

year = "2005",

month = dec,

day = "1",

doi = "10.1016/j.nimb.2005.07.017",

language = "American English",

journal = "Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms",

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T1 - Relative State Selective Capture Cross Sections for Low Energy Collisions between Highly Charged Bare Ions and Neutral Atoms

AU - Perez, James A.

AU - Olson, Ronald E.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Relative state selective (n) single electron capture cross sections are calculated for low energy collisions involving bare oxygen and nitrogen ions and neutral H and O, using a three body classical trajectory Monte Carlo (CTMC) method. The population of states are studied as a function of relative collision speed and ionization potential of the active target electron, and compared with other theoretical calculations and experimental data.

AB - Relative state selective (n) single electron capture cross sections are calculated for low energy collisions involving bare oxygen and nitrogen ions and neutral H and O, using a three body classical trajectory Monte Carlo (CTMC) method. The population of states are studied as a function of relative collision speed and ionization potential of the active target electron, and compared with other theoretical calculations and experimental data.

KW - CTMC

KW - Charge Transfer

KW - Collisions (Nuclear physics)

KW - Highly Charged Ions

KW - Low Energy Collisions

UR - https://scholarsmine.mst.edu/phys_facwork/114

UR - https://doi.org/10.1016/j.nimb.2005.07.017

U2 - 10.1016/j.nimb.2005.07.017

DO - 10.1016/j.nimb.2005.07.017

M3 - Article

JO - Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms

JF - Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms

ER -

Relative State Selective Capture Cross Sections for Low Energy Collisions between Highly Charged Bare Ions and Neutral Atoms

Abstract

Keywords

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