This change creates an alternative to the BOXR output file in COVR using currently-undefined values of the matype parameter. Modifying test #65 as:
covr
41 51 0 /
1 /
u235 /
/
9228 0 0 0 /
stop
The resulting output file (tape51) can be read with conventional Python as:
import numpy as np
import re
from io import StringIO
# read data from file
fileData=open('tape51').read()
# split into substrings based on "#"
splitData=list(filter(None, re.split('^#.*$', fileData, re.DOTALL, re.MULTILINE)))
# load into numpy arrays
erg, xs, stdev, covr = [np.loadtxt(StringIO(chunk)) for chunk in splitData]
When processing IRDFF covariance matrices into multigroup formats, as a result of the increased precision, the negative eigenvalues I get from the re-binning process drop by roughly 3 orders of magnitude.
This change creates an alternative to the BOXR output file in COVR using currently-undefined values of the
matypeparameter. Modifying test #65 as:The resulting output file (
tape51) can be read with conventional Python as:When processing IRDFF covariance matrices into multigroup formats, as a result of the increased precision, the negative eigenvalues I get from the re-binning process drop by roughly 3 orders of magnitude.