By Torr Kolen
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Extra info for An Experiment to Measure Relative Variations in the One-Way Velocity of light
13. 3 Monte Carlo method 49 calculation. They are similar in the aspects of j u m p direction selection and defect interaction testing. T h e b o o k k e e p i n g problems for the many-defect case, however, are somewhat complicated and this m a k e s the many-defect case a p p e a r to be m o r e complicated, physically, than really is the case. T h e initial existence of two or m o r e vacancy defects and two or m o r e interstitial defects requires a set of defect position and population tables ( D P A P ) which contain, for each defect, a defect index n u m b e r , the defect t y p e , the coordinates of its centroid, its physical radius and the population of elemental defects it contains.
T h e purpose of t h e simulation d e t e r m i n e s what particular collision results should be recorded. Collision scoring cited in Box (7) pertains to identifying the results of interest and recording t h e m . Boxes (8) and (9) concern application of t h e history and run termination criteria, respectively. Box (10) represents the routine used to select t h e next P R P . In t h e most simple case, this involves just reading the initial conditions for the P R P trajectory from a table contained in the input data.
Box (19): after an annihilation event, the j u m p counter is set to zero and a neyv history is started. Box (20): the probability for an encounter event is given by the n u m b e r of encounters which occurred, N E N , divided by the n u m b e r of histories run, N H I S . T h e average n u m b e r of j u m p events to an encounter event is given by the S U M of the n u m b e r of j u m p events to an encounter event over all histories ending in an encounter, divided by the n u m b e r of histories ending in an encounter.
An Experiment to Measure Relative Variations in the One-Way Velocity of light by Torr Kolen