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fjosw 2021-11-15 09:55:12 +00:00
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pyerrors/__init__.py
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@ -76,11 +76,10 @@ obs2 = pe.Obs([samples2], ['ensemble2'])
my_sum = obs1 + obs2 my_sum = obs1 + obs2
my_sum.details() my_sum.details()
> Result 2.00596631e+00 +/- 0.00000000e+00 +/- 0.00000000e+00 (0.000%) > Result 2.00697958e+00 +/- 0.00000000e+00 +/- 0.00000000e+00 (0.000%)
> 1500 samples in 2 ensembles: > 1500 samples in 2 ensembles:
> ensemble1: ['ensemble1'] > · Ensemble 'ensemble1' : 1000 configurations (from 1 to 1000)
> ensemble2: ['ensemble2'] > · Ensemble 'ensemble2' : 500 configurations (from 1 to 500)
``` ```
`pyerrors` identifies multiple replica (independent Markov chains with identical simulation parameters) by the vertical bar `|` in the name of the dataset. `pyerrors` identifies multiple replica (independent Markov chains with identical simulation parameters) by the vertical bar `|` in the name of the dataset.
@ -90,11 +89,13 @@ Example:
obs1 = pe.Obs([samples1], ['ensemble1|r01']) obs1 = pe.Obs([samples1], ['ensemble1|r01'])
obs2 = pe.Obs([samples2], ['ensemble1|r02']) obs2 = pe.Obs([samples2], ['ensemble1|r02'])
my_sum = obs1 + obs2 > my_sum = obs1 + obs2
my_sum.details() > my_sum.details()
> Result 2.00596631e+00 +/- 0.00000000e+00 +/- 0.00000000e+00 (0.000%) > Result 2.00697958e+00 +/- 0.00000000e+00 +/- 0.00000000e+00 (0.000%)
> 1500 samples in 1 ensemble: > 1500 samples in 1 ensemble:
> ensemble1: ['ensemble1|r01', 'ensemble1|r02'] > · Ensemble 'ensemble1'
> · Replicum 'r01' : 1000 configurations (from 1 to 1000)
> · Replicum 'r02' : 500 configurations (from 1 to 500)
``` ```
## Irregular Monte Carlo chains ## Irregular Monte Carlo chains