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feat: removed computation of drho from standard windowing procedure. (#152)

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Fabian Joswig 2023-02-13 16:54:28 +00:00 • committed by GitHub
parent cef3c3e793
commit ee74ec4ed7
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1 changed files with 2 additions and 3 deletions
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pyerrors/obs.py
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@ -292,8 +292,8 @@ class Obs:
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]
self.e_drho[e_name][i] = np.sqrt(np.sum(tmp ** 2) / e_N)
_compute_drho(gapsize)
if self.tau_exp[e_name] > 0:
_compute_drho(gapsize)
texp = self.tau_exp[e_name]
# Critical slowing down analysis
if w_max // 2 <= 1:
@ -321,9 +321,8 @@ class Obs:
tau = self.S[e_name] / np.log((2 * self.e_n_tauint[e_name][gapsize::gapsize] + 1) / (2 * self.e_n_tauint[e_name][gapsize::gapsize] - 1))
g_w = np.exp(- np.arange(1, len(tau) + 1) / tau) - tau / np.sqrt(np.arange(1, len(tau) + 1) * e_N)
for n in range(1, w_max):
if n < w_max // 2 - 2:
_compute_drho(gapsize * n + gapsize)
if g_w[n - 1] < 0 or n >= w_max - 1:
_compute_drho(gapsize * n)
n *= gapsize
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)
self.e_dtauint[e_name] = self.e_n_dtauint[e_name][n]