Update test results

This commit is contained in:
Paul Romano 2021-02-26 16:14:11 -06:00
parent 3987d4273a
commit 366c4c7929
8 changed files with 662 additions and 662 deletions

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@ -1,2 +1,2 @@
energyfunction nuclide score mean std. dev.
0 d2effa26cb3cf2 Am241 ((n,gamma) / (n,gamma)) 1.74e-01 3.55e-03
0 d2effa26cb3cf2 Am241 ((n,gamma) / (n,gamma)) 1.74e-01 3.52e-03

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@ -184,7 +184,7 @@ nu-diffusion-coefficient
0 1 2 total 0.000000 0.000000
(n,gamma)
material group in nuclide mean std. dev.
1 1 1 total 0.019727 0.002262
1 1 1 total 0.019720 0.002260
0 1 2 total 0.071719 0.006262
(n,a)
material group in nuclide mean std. dev.
@ -490,7 +490,7 @@ nu-diffusion-coefficient
0 2 2 total 0.000000 0.000000
(n,gamma)
material group in nuclide mean std. dev.
1 2 1 total 0.001569 0.000322
1 2 1 total 0.001571 0.000323
0 2 2 total 0.005400 0.000618
(n,a)
material group in nuclide mean std. dev.

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@ -1 +1 @@
a9999488e2aa2ad0f1d694afedb71fbb56f1d0c8e8abdb6616698505a9d85302bf90586866fdb58eac96f76712a2dfbc884cc03087df7b5d148fb29d14dd2bbb
54a6351f3444c5ea85f972ed05f48c81da2de27a6295a660c321e7c595ec3865e5882fb7fa1f2e4a3bfd616e4b637482e2a16930dd59c3968d04c59d4b1c08b1

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@ -5,8 +5,8 @@ tally 1:
2.951721E+00
2.785273E+00
1.554128E+00
5.349716E-01
5.732174E-02
5.352493E-01
5.738169E-02
4.499834E-01
4.055011E-02
0.000000E+00
@ -25,8 +25,8 @@ tally 1:
2.628739E+04
2.785273E+00
1.554128E+00
2.176478E+00
9.480405E-01
2.176755E+00
9.482820E-01
3.574110E+02
2.555993E+04
1.146136E-04

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@ -1 +1 @@
ba4369130ac65812939cb417c7088ae6c8cdec118fd7dce5645b40a20a3ae47072cd72c24aa091ccc09f833a5bfc0bd72407a0dcde7d3120e39379942614a75b
0f036e2c34f3e9cf350d4f6bac6b0c5933d77d0665a5d461a3911c29d8f1d49b74100e680920da286c63538fabb86cbcd17532c6aad6048ee78e6cef75dd76ae

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@ -22,7 +22,7 @@ def test_get_atoms(res):
t_ref = np.array([0.0, 1296000.0, 2592000.0, 3888000.0])
n_ref = np.array(
[6.67473282e+08, 3.76986925e+14, 3.68587383e+14, 3.91338675e+14])
[6.67473282e+08, 3.76987065e+14, 3.68586723e+14, 3.91338392e+14])
np.testing.assert_allclose(t, t_ref)
np.testing.assert_allclose(n, n_ref)
@ -48,8 +48,8 @@ def test_get_reaction_rate(res):
t, r = res.get_reaction_rate("1", "Xe135", "(n,gamma)")
t_ref = [0.0, 1296000.0, 2592000.0, 3888000.0]
n_ref = [6.67473282e+08, 3.76986925e+14, 3.68587383e+14, 3.91338675e+14]
xs_ref = [3.32282266e-05, 2.76207120e-05, 4.10986677e-05, 3.72453665e-05]
n_ref = [6.67473282e+08, 3.76987065e+14, 3.68586723e+14, 3.91338392e+14]
xs_ref = [3.32282064e-05, 2.76208092e-05, 4.10987995e-05, 3.72454755e-05]
np.testing.assert_allclose(t, t_ref)
np.testing.assert_allclose(r, np.array(n_ref) * xs_ref)
@ -60,8 +60,8 @@ def test_get_eigenvalue(res):
t, k = res.get_eigenvalue()
t_ref = [0.0, 1296000.0, 2592000.0, 3888000.0]
k_ref = [1.16984322, 1.19097427, 1.03012572, 1.20045627]
u_ref = [0.0375587, 0.0347639, 0.07216021, 0.02839642]
k_ref = [1.16984322, 1.19097429, 1.03012517, 1.20045563]
u_ref = [0.0375587, 0.03476389, 0.07215969, 0.02839639]
np.testing.assert_allclose(t, t_ref)
np.testing.assert_allclose(k[:, 0], k_ref)