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Commit fbffb0ec authored by Jack Christopher Hutchinson Rolph's avatar Jack Christopher Hutchinson Rolph
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Update file Model.py

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...@@ -641,15 +641,23 @@ def DRM(Q, Q_0, G, mu, lbda, sigma_0, sigma_1, tau_Ap, p_Ap, DCR, tau, tau_R, t_ ...@@ -641,15 +641,23 @@ def DRM(Q, Q_0, G, mu, lbda, sigma_0, sigma_1, tau_Ap, p_Ap, DCR, tau, tau_R, t_
Pns = np.zeros((int(k_max), int(k_max))) Pns = np.zeros((int(k_max), int(k_max)))
#############################################
# COMMENT
#############################################
# alpha is either one of two things: # alpha is either one of two things:
# the total probability of an afterpulse occuring within the gate # the total probability of an afterpulse occuring within the gate
alpha = p_Ap alpha = p_Ap
# Or the probability that an electron-hole pair is produced in the silicon bulk. # Or the probability that an electron-hole pair is produced in the silicon bulk.
# alpha = P_Ap(tau_R, tau_Ap, t_gate, p_Ap) # alpha = P_Ap(tau_R, tau_Ap, t_gate, p_Ap) -> here, p_Ap is as is in the LightSimtastic simulation program.
# #
# To replicate the results in the paper, please keep this variable as it is. # To replicate the results in the paper, please keep this variable as it is, and compare it to the value of
# P_Ap(tau_R, tau_Ap, t_gate, p_Ap) for the input values of the simulation.
#############################################
dp0dQs = np.vstack([norm.pdf(k_pad, loc=_k, scale=sigmak(_k, sigma_0/G, sigma_1/G)) for _k in k_pg]) dp0dQs = np.vstack([norm.pdf(k_pad, loc=_k, scale=sigmak(_k, sigma_0/G, sigma_1/G)) for _k in k_pg])
......
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