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fix: corrected bias correction of ddvalue for irregular chains
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1 changed files with 2 additions and 2 deletions
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@ -305,7 +305,7 @@ class Obs:
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self.e_dtauint[e_name] = np.sqrt(self.e_n_dtauint[e_name][n] ** 2 + texp ** 2 * self.e_drho[e_name][n + 1] ** 2)
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self.e_dtauint[e_name] = np.sqrt(self.e_n_dtauint[e_name][n] ** 2 + texp ** 2 * self.e_drho[e_name][n + 1] ** 2)
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# Error of tau_exp neglected so far, missing term: self.e_rho[e_name][n + 1] ** 2 * d_tau_exp ** 2
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# Error of tau_exp neglected so far, missing term: self.e_rho[e_name][n + 1] ** 2 * d_tau_exp ** 2
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self.e_dvalue[e_name] = np.sqrt(2 * self.e_tauint[e_name] * e_gamma[e_name][0] * (1 + 1 / e_N) / e_N)
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self.e_dvalue[e_name] = np.sqrt(2 * self.e_tauint[e_name] * e_gamma[e_name][0] * (1 + 1 / e_N) / e_N)
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self.e_ddvalue[e_name] = self.e_dvalue[e_name] * np.sqrt((n + 0.5) / e_N)
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self.e_ddvalue[e_name] = self.e_dvalue[e_name] * np.sqrt((n / gapsize + 0.5) / e_N)
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self.e_windowsize[e_name] = n
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self.e_windowsize[e_name] = n
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break
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break
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else:
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else:
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@ -327,7 +327,7 @@ class Obs:
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self.e_tauint[e_name] = self.e_n_tauint[e_name][n] * (1 + (2 * n / gapsize + 1) / e_N) / (1 + 1 / e_N) # Bias correction hep-lat/0306017 eq. (49)
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self.e_tauint[e_name] = self.e_n_tauint[e_name][n] * (1 + (2 * n / gapsize + 1) / e_N) / (1 + 1 / e_N) # Bias correction hep-lat/0306017 eq. (49)
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self.e_dtauint[e_name] = self.e_n_dtauint[e_name][n]
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self.e_dtauint[e_name] = self.e_n_dtauint[e_name][n]
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self.e_dvalue[e_name] = np.sqrt(2 * self.e_tauint[e_name] * e_gamma[e_name][0] * (1 + 1 / e_N) / e_N)
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self.e_dvalue[e_name] = np.sqrt(2 * self.e_tauint[e_name] * e_gamma[e_name][0] * (1 + 1 / e_N) / e_N)
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self.e_ddvalue[e_name] = self.e_dvalue[e_name] * np.sqrt((n + 0.5) / e_N)
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self.e_ddvalue[e_name] = self.e_dvalue[e_name] * np.sqrt((n / gapsize + 0.5) / e_N)
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self.e_windowsize[e_name] = n
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self.e_windowsize[e_name] = n
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break
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break
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