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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| playground:results-2018-05-25 [2022/06/30 11:48] – old revision restored (2019/09/04 23:30) 154.54.249.196 | playground:results-2018-05-25 [2022/07/07 19:43] (current) – old revision restored (2018/06/07 21:39) 154.54.249.196 | ||
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| ^ $\langle J\rangle$ = 1 ^ $\Delta J$ = 0.1 ^ $\Delta J$ = 0.2 ^ $\Delta J$ = 0.3 ^ | ^ $\langle J\rangle$ = 1 ^ $\Delta J$ = 0.1 ^ $\Delta J$ = 0.2 ^ $\Delta J$ = 0.3 ^ | ||
| - | | $\alpha$ | + | | $\alpha$ |
| - | | variance | + | | variance |
| --------------------------------------------------------------------- | --------------------------------------------------------------------- | ||
| Line 115: | Line 115: | ||
| ^ $\langle J\rangle$ = 1 ^ $\Delta J$ = 0.1 ^ $\Delta J$ = 0.2 ^ $\Delta J$ = 0.3 ^ | ^ $\langle J\rangle$ = 1 ^ $\Delta J$ = 0.1 ^ $\Delta J$ = 0.2 ^ $\Delta J$ = 0.3 ^ | ||
| - | | $\alpha$ | + | | $\alpha$ |
| - | | variance | + | | variance |
| ====== Q3 ====== | ====== Q3 ====== | ||
| Line 139: | Line 139: | ||
| We calculate the probability distribution of the covariances in the data of all spin model. | We calculate the probability distribution of the covariances in the data of all spin model. | ||
| - | The positive long tail distribution has more strongly positive correlations, | + | The positive long tail distribution has some strongly positive correlations, |
| {{playground: | {{playground: | ||
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| - | {{playground: | ||
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| - | We consider the the probability distribution of the covariances in the data of all spin model and nearest neighbor spin model. | ||
| - | The all spin modeling has more strongly positive correlations(blue positive area) the nearest neighbor (yellow positive area) at the same distribution of J and h. | ||
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| - | {{playground: | ||
| ====== Q5 ====== | ====== Q5 ====== | ||