Published March 2018 | Version v1
Journal article

Scavenging and recombination kinetics in a radiation spur: The successive ordered scavenging events

  • 1. Department of Chemistry, Physical & Theoretical Chemistry Laboratory, University of Oxford (United Kingdom)

Description

This study describes stochastic models to investigate the successive ordered scavenging events in a spur of four radicals, a model system based on a radiation spur. Three simulation models have been developed to obtain the probabilities of the ordered scavenging events: (i) a Monte Carlo random flight (RF) model, (ii) hybrid simulations in which the reaction rate coefficient is used to generate scavenging times for the radicals and (iii) the independent reaction times (IRT) method. The results of these simulations are found to be in agreement with one another. In addition, a detailed master equation treatment is also presented, and used to extract simulated rate coefficients of the ordered scavenging reactions from the RF simulations. These rate coefficients are transient, the rate coefficients obtained for subsequent reactions are effectively equal, and in reasonable agreement with the simple correction for competition effects that has recently been proposed.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.radphyschem.2017.09.017

Additional details

Identifiers

DOI
10.1016/j.radphyschem.2017.09.017;
PII
S0969806X17309684;

Publishing Information

Journal Title
Radiation Physics and Chemistry (1993)
Journal Volume
144
Journal Page Range
p. 329-335
ISSN
0969-806X
CODEN
RPCHDM

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50068571
Subject category
S74: ATOMIC AND MOLECULAR PHYSICS; S38: RADIATION CHEMISTRY, RADIOCHEMISTRY AND NUCLEAR CHEMISTRY;
Descriptors DEI
MONTE CARLO METHOD; REACTION KINETICS; SCAVENGING; SIMULATION; STOCHASTIC PROCESSES
Descriptors DEC
CALCULATION METHODS; KINETICS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.