Rn. Hamm et al., MONTE-CARLO SIMULATION OF DIFFUSION AND REACTION IN WATER RADIOLYSIS - A STUDY OF REACTANT JUMP THROUGH AND JUMP DISTANCES, Radiation and environmental biophysics, 36(4), 1998, pp. 229-234
Citations number
13
Categorie Soggetti
Biology Miscellaneous","Radiology,Nuclear Medicine & Medical Imaging","Environmental Sciences",Biophysics
In Monte Carlo simulations of water radiolysis, the diffusion of react
ants can be approximated by ''jumping'' all species randomly, to repre
sent the passage of a short period of time, and then checking their se
parations. If, at the end of a jump, two reactant species are within a
distance equal to the reaction radius for the pair, they are allowed
to react in the model. In principle, the possibility exists that two r
eactants could ''jump through'' one another and end up with a separati
on larger than the reaction radius with no reaction being scored. Igno
ring this possibility would thus reduce the rate of reaction below tha
t intended by such a model. By making the jump times and jump distance
s shorter, any error introduced by 'jump through' is made smaller. Thi
s paper reports numerical results of a systematic study of 'jump throu
gh' in Monte Carlo simulations of water radiolysis. With a nominal jum
p time of 3 ps, it is found that more than 40% of the reactions of the
hydrated electron with itself and of the H atom with itself occur whe
n reactions during 'jump through' are allowed. For all other reactions
, for which the effect is smaller, the contributions of 'jump through'
lie in the range 1%-16% of the total. Corrections to computed rate co
nstants for two reactions are evaluated for jump times between 0.1 and
30 ps. It is concluded that jump-through corrections are desirable in
such models for jump times that exceed about 1 ps or even less. In a
separate study, we find that giving all species of a given type the sa
me size jump in a random direction yields results that are indistingui
shable from those when the jump sizes are selected from a Gaussian dis
tribution. In this comparison, the constant jump size is taken to be t
he root-mean-square jump size from the Gaussian distribution.