2012
DOI: 10.1103/physrevb.86.140402
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Pair correlation function for spin glasses

Abstract: We extract a pair correlation function (PCF) from probability distributions of the spin-overlap parameter q. The distributions come from Monte Carlo simulations. A measure, w, of the thermal fluctuations of magnetic patterns follows from the PCFs. We also obtain rms deviations (over different system samples) delta_p away from average probabilities for q. For the linear system-sizes $L$ we have studied, (i) w and delta_p are independent of L in the Edwards-Anderson model but scale as 1/L and sqrt{L}, respective… Show more

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Cited by 4 publications
(23 citation statements)
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“…On the other hand, a direct comparison of our data with MC data obtained for the SK model shows that crucial RSB predictions are also at odds with some of our results. It is noteworthy that the findings enumerated above for DIS are strikingly similar to the ones found in previous MC work for the EA model, [18][19][20]23 though finite size effects have been reported to be strong for the EA model for the available systems sizes in MC simulations.…”
Section: 1939supporting
confidence: 88%
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“…On the other hand, a direct comparison of our data with MC data obtained for the SK model shows that crucial RSB predictions are also at odds with some of our results. It is noteworthy that the findings enumerated above for DIS are strikingly similar to the ones found in previous MC work for the EA model, [18][19][20]23 though finite size effects have been reported to be strong for the EA model for the available systems sizes in MC simulations.…”
Section: 1939supporting
confidence: 88%
“…We compute the cumulative distribution Π In previous papers 19 we have obtained additional information on the shape and width of spikes from a pair correlation function. (9) and let G Q (q) be the average of G Q J (q) over samples.…”
Section: Measured Quantitiesmentioning
confidence: 99%
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