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test criterion for correlated fit relaxed

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This commit is contained in:
Fabian Joswig 2021-12-20 11:46:05 +01:00
parent 1c65109227
commit 1cbbc68e8b
1 changed files with 2 additions and 3 deletions
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5
tests/fits_test.py
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@ -93,10 +93,9 @@ def test_correlated_fit():
r = np.zeros((N, N)) r = np.zeros((N, N))
for i in range(N): for i in range(N):
for j in range(N): for j in range(N):
r[i, j] = np.exp(-0.1 * np.fabs(i - j)) r[i, j] = np.exp(-0.8 * np.fabs(i - j))
errl = np.sqrt([3.4, 2.5, 3.6, 2.8, 4.2, 4.7, 4.9, 5.1, 3.2, 4.2]) errl = np.sqrt([3.4, 2.5, 3.6, 2.8, 4.2, 4.7, 4.9, 5.1, 3.2, 4.2])
errl *= 4
for i in range(N): for i in range(N):
for j in range(N): for j in range(N):
r[i, j] *= errl[i] * errl[j] r[i, j] *= errl[i] * errl[j]
@ -127,7 +126,7 @@ def test_correlated_fit():
for i in range(2): for i in range(2):
diff = fitp[i] - fitpc[i] diff = fitp[i] - fitpc[i]
diff.gamma_method() diff.gamma_method()
assert(diff.is_zero_within_error(sigma=1.5)) assert(diff.is_zero_within_error(sigma=5))
def test_total_least_squares(): def test_total_least_squares():