Processing: normal_Hg_bandpass_fibre_CH1_plus_0ns_MMF_CH3_plus_0ns_+41m_MMF_20231114_1018_prelim_17over256ns.g2
[ 29.94921875  30.015625    30.08203125 ... 331.83203125 331.8984375
 331.96484375]
[[Model]]
    Model(one_gaussian_g2_model)
[[Fit Statistics]]
    # fitting method   = leastsq
    # function evals   = 46
    # data points      = 120
    # variables        = 4
    chi-square         = 177.304489
    reduced chi-square = 1.52848697
    Akaike info crit   = 54.8452146
    Bayesian info crit = 65.9951816
    R-squared          = 0.99998855
[[Variables]]
    tau_fwhm:  0.34824027 +/- 0.01964496 (5.64%) (init = 0.3)
    tau_0:     207.592286 +/- 0.00824290 (0.00%) (init = 207.5859)
    c:         13278.2958 +/- 13.6996252 (0.10%) (init = 13260)
    A_0:       1883.17796 +/- 93.7232400 (4.98%) (init = 2043)
[[Correlations]] (unreported correlations are < 0.100)
    C(tau_fwhm, A_0) = -0.5515
    C(tau_fwhm, c)   = -0.1852
    C(c, A_0)        = -0.1006

def one_gaussian_g2_model(tau, c, A_0, tau_fwhm,tau_0):
	"""
	tau: time_bin_vector (ns)
	c: floor_offset
	A: decay_amplitude,
	tau_0: timing offset
	tau_c: time_constant
	"""
	tau_sigma = tau_fwhm/(2*np.sqrt(2*np.log(2)))
	return c + A_0*(np.exp(-(tau-tau_0)**2/(2*(tau_sigma**2))))