We perform equilibrium parallel-tempering simulations of the 3D Ising Edwards-Anderson spin glass in a field, using the Janus computer. A traditional analysis shows no signs of a phase transition. However, we encounter dramatic fluctuations in the behaviour of the model: averages over all the data only describe the behaviour of a small fraction of the data. Therefore, we develop a new approach to study the equilibrium behaviour of the system, by classifying the measurements as a function of a conditioning variate. We propose a finite-size scaling analysis based on the probability distribution function of the conditioning variate, which may accelerate the convergence to the thermodynamic limit. In this way, we find a non-trivial spectrum of behaviours, where some of the measurements behave as the average, while the majority show signs of scale invariance. As a result, we can estimate the temperature interval where the phase transition in a field ought to lie, if it exists. Although this would-be critical regime is unreachable with present resources, the numerical challenge is finally well posed. © 2014 IOP Publishing Ltd and SISSA Medialab srl.
The three-dimensional Ising spin glass in an external magnetic field: The role of the silent majority / M., B.J., R. A., B., A., C., L. A., F., J. M., G.N., A., G.G., D., I., Maiorano, A., F., M., Marinari, V., V., M.M., J., M.G., A., M.S., D., N., Parisi, G., S., P.G., M., P., RICCI TERSENGHI, F., J. J., R.L., S. F., S., et al.. - In: JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT. - ISSN 1742-5468. - 2014:5(2014), p. P05014. [10.1088/1742-5468/2014/05/p05014]
The three-dimensional Ising spin glass in an external magnetic field: The role of the silent majority
MAIORANO, Andrea;MARINARI, Vincenzo;PARISI, Giorgio;RICCI TERSENGHI, Federico;SEOANE BARTOLOME, BEATRIZ;YLLANES MOSQUERA, DAVID
2014
Abstract
We perform equilibrium parallel-tempering simulations of the 3D Ising Edwards-Anderson spin glass in a field, using the Janus computer. A traditional analysis shows no signs of a phase transition. However, we encounter dramatic fluctuations in the behaviour of the model: averages over all the data only describe the behaviour of a small fraction of the data. Therefore, we develop a new approach to study the equilibrium behaviour of the system, by classifying the measurements as a function of a conditioning variate. We propose a finite-size scaling analysis based on the probability distribution function of the conditioning variate, which may accelerate the convergence to the thermodynamic limit. In this way, we find a non-trivial spectrum of behaviours, where some of the measurements behave as the average, while the majority show signs of scale invariance. As a result, we can estimate the temperature interval where the phase transition in a field ought to lie, if it exists. Although this would-be critical regime is unreachable with present resources, the numerical challenge is finally well posed. © 2014 IOP Publishing Ltd and SISSA Medialab srl.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


