equilibration-time-steps - Believe this controls an initial time stage of the Curie simulation that is needed to converge the magnetization at a thermal equilibrium.
loop-time-steps - Looks like it controls the number of steps after the
equilibration-time-steps
for getting an average magnetization [1]. In other words, smooths the curve for the magnetization.
More time steps should be better but come at a cost of increased Monte Carlo simulation time [2]. Think this is applicable to
loop-time-steps
[3] and equilibration-time-steps.
Have a look at the normalized magnetization versus time steps figure at [4]. You might also check out the Curie temperature simulation using VAMPIRE YouTube video [5].
time-steps-increment - Seems to control the number of time steps between collecting samples of the magnetization. Controls the amount of that data outputted to the screen or output file [6].
In the Metropolis algorithm, the spin configurations do look like they have some relation to time step parameters as the article at [7] has the sentence:
... at low temperatures a series of trial moves on the unit sphere will lead to most moves being rejected. Ideally a move acceptance rate of around 50% is desired, since very high and very low rates require significantly more Monte Carlo steps to reach a state representative of true thermal equilibrium.
Changing the dimensions:system-size seems like it would be okay if you just have magnetic region as a rectangular cubiod [8] such as a multilayer [9]. However, that would change if you have a different magnetic shape such as a sphere [10] or truncated octahedron [11].
Sure, if you have a finite shaped magnetic region, you should not need PBC (periodic boundary conditions). However, if your magnetic shape is pseudo-infinite (e.g., nanotube, thin film, etc.), then PBC could be beneficial for your modeling of the magnetic material [12].
[6]
https://groups.google.com/g/vampire-users/c/anXElOPSSh8/m/Wj4CX0tBSQ8J
Kind Regards,
Gavin
VAMPIRE user