Python GaussianConstraint.sample示例

示例#1

文件： test_constraint.py 项目： simonUU/zfit

def test_gaussian_constraint_sampling():
    param1 = zfit.Parameter("Param1", 5)
    params = [param1]

    mu = [5]
    sigma = [1]
    constr = GaussianConstraint(params=params, mu=mu, sigma=sigma)

    sample = constr.sample(15000)

    assert np.mean(sample[param1]) == pytest.approx(mu[0], rel=0.01)
    assert np.std(sample[param1]) == pytest.approx(sigma[0], rel=0.01)

示例#2

文件： test_constraint.py 项目： zfit/zfit

def test_gaussian_constraint_sampling():
    param1 = zfit.Parameter("Param1", 5)
    params = [param1]

    observed = [5]
    sigma = [1]
    constr = GaussianConstraint(params=params,
                                observation=observed,
                                uncertainty=sigma)

    sample = constr.sample(15000)

    assert np.mean(sample[param1]) == pytest.approx(observed[0], rel=0.01)
    assert np.std(sample[param1]) == pytest.approx(sigma[0], rel=0.01)