Now, correlation length (w.r.t. tensors) is calculated from the transfer matrix.
Besides the correlation length (the second largest eigenvalue), you can get more eigenvalues as you want, and so the correction of the correlation length may be calculated (see PRX 8 031030 and PRX 8 041033 for details)
For example, correlation_length.dat for S=1/2 AFH square is shown as follows:
$ cat output/correlation_length.dat
# $1: direction 0: +x, 1: +y
# $2: y (dir=0) or x (dir=1) coorinates
# $3: correlation length xi = 1/e_1
# $4-: eigenvalues e_i = -log|t_i/t_0|
# where i > 0 and t_i is i-th largest eigenvalue of T
0 0 7.19213553469013944e-01 1.39040761283857428e+00 1.39163735134575428e+00 1.53522220522655517e+00
0 1 7.19303527237339035e-01 1.39023369430808219e+00 1.39041272589238130e+00 1.53457094348926959e+00
1 0 7.26232546918418653e-01 1.37696940772379772e+00 1.37720048798029371e+00 1.51923157420860955e+00
1 1 7.26095712518358916e-01 1.37722890076246740e+00 1.37801665593875122e+00 1.52016493301534239e+00
Parameters for calculating correlation length are controlled by the [correlation_length] section of the input files. I think that the default values work well for many cases.
If measure is false, the eigenvalues and the correlation length won't be calculated.
num_eigvals is the number of eigenvalues to be calculated.
When the dimension of the transfer matrix is greater than maxdim_dense_eigensolver, TeNeS will calculate the eigenvalues via the Arnoldi method.
The remaining arnoldi_* are the hyper parameters of the implicit restart Arnoldi method.
Now, correlation length (w.r.t. tensors) is calculated from the transfer matrix. Besides the correlation length (the second largest eigenvalue), you can get more eigenvalues as you want, and so the correction of the correlation length may be calculated (see PRX 8 031030 and PRX 8 041033 for details)
For example,
correlation_length.dat
for S=1/2 AFH square is shown as follows:Parameters for calculating correlation length are controlled by the
[correlation_length]
section of the input files. I think that the default values work well for many cases.If
measure
isfalse
, the eigenvalues and the correlation length won't be calculated.num_eigvals
is the number of eigenvalues to be calculated. When the dimension of the transfer matrix is greater thanmaxdim_dense_eigensolver
, TeNeS will calculate the eigenvalues via the Arnoldi method. The remainingarnoldi_*
are the hyper parameters of the implicit restart Arnoldi method.