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Merge pull request #126 from fjosw/fix/gapped_irregular_dtauint
Fix: gapped irregular dtauint
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commit
c88ef3dea2
2 changed files with 29 additions and 12 deletions
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@ -267,18 +267,6 @@ class Obs:
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self.e_windowsize[e_name] = 0
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continue
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self.e_rho[e_name] = e_gamma[e_name][:w_max] / e_gamma[e_name][0]
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self.e_n_tauint[e_name] = np.cumsum(np.concatenate(([0.5], self.e_rho[e_name][1:])))
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# Make sure no entry of tauint is smaller than 0.5
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self.e_n_tauint[e_name][self.e_n_tauint[e_name] <= 0.5] = 0.5 + np.finfo(np.float64).eps
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# hep-lat/0306017 eq. (42)
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self.e_n_dtauint[e_name] = self.e_n_tauint[e_name] * 2 * np.sqrt(np.abs(np.arange(w_max) + 0.5 - self.e_n_tauint[e_name]) / e_N)
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self.e_n_dtauint[e_name][0] = 0.0
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def _compute_drho(i):
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tmp = self.e_rho[e_name][i + 1:w_max] + np.concatenate([self.e_rho[e_name][i - 1::-1], self.e_rho[e_name][1:w_max - 2 * i]]) - 2 * self.e_rho[e_name][i] * self.e_rho[e_name][1:w_max - i]
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self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N)
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gaps = []
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for r_name in e_content[e_name]:
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if isinstance(self.idl[r_name], range):
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@ -291,6 +279,18 @@ class Obs:
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else:
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gapsize = gaps[0]
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self.e_rho[e_name] = e_gamma[e_name][:w_max] / e_gamma[e_name][0]
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self.e_n_tauint[e_name] = np.cumsum(np.concatenate(([0.5], self.e_rho[e_name][1:])))
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# Make sure no entry of tauint is smaller than 0.5
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self.e_n_tauint[e_name][self.e_n_tauint[e_name] <= 0.5] = 0.5 + np.finfo(np.float64).eps
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# hep-lat/0306017 eq. (42)
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self.e_n_dtauint[e_name] = self.e_n_tauint[e_name] * 2 * np.sqrt(np.abs(np.arange(w_max) / gapsize + 0.5 - self.e_n_tauint[e_name]) / e_N)
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self.e_n_dtauint[e_name][0] = 0.0
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def _compute_drho(i):
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tmp = self.e_rho[e_name][i + 1:w_max] + np.concatenate([self.e_rho[e_name][i - 1::-1], self.e_rho[e_name][1:w_max - 2 * i]]) - 2 * self.e_rho[e_name][i] * self.e_rho[e_name][1:w_max - i]
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self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N)
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_compute_drho(gapsize)
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if self.tau_exp[e_name] > 0:
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texp = self.tau_exp[e_name]
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@ -669,6 +669,23 @@ def test_gamma_method_irregular():
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assert np.isclose(tau_a, tau_b)
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def test_irregular_gapped_dtauint():
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my_idl = list(range(0, 5010, 10))
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my_idl.remove(400)
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my_idl2 = list(range(0, 501, 1))
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my_idl2.remove(40)
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my_data = np.random.normal(1.1, 0.2, 500)
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obs = pe.Obs([my_data], ["B1"], idl=[my_idl])
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obs.gamma_method()
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obs2 = pe.Obs([my_data], ["B2"], idl=[my_idl2])
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obs2.gamma_method()
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assert np.isclose(obs.e_tauint["B1"], obs2.e_tauint["B2"])
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assert np.isclose(obs.e_dtauint["B1"], obs2.e_dtauint["B2"])
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def test_covariance_is_variance():
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value = np.random.normal(5, 10)
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dvalue = np.abs(np.random.normal(0, 1))
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