Processing: normal_EYP-DFB-0780-100mA_25degC_C230_collimated_A230_MOT2N_6p4V_DG10-1500-PO1_A230_30cm_bare_SMF_fibre_near_center_288ns_delay_MPD_20231026_1207.g2
[2.000e+00 4.000e+00 6.000e+00 ... 7.994e+03 7.996e+03 7.998e+03]
[[Model]]
    Model(one_gaussian_g2_model)
[[Fit Statistics]]
    # fitting method   = leastsq
    # function evals   = 31
    # data points      = 3999
    # variables        = 4
    chi-square         = 5003.73474
    reduced chi-square = 1.25249931
    Akaike info crit   = 904.336865
    Bayesian info crit = 929.512064
    R-squared          = 0.99999934
[[Variables]]
    tau_fwhm:  277.460526 +/- 0.58185803 (0.21%) (init = 124)
    tau_0:     314.283128 +/- 0.25266698 (0.08%) (init = 312)
    c:         10139.4397 +/- 1.85375171 (0.02%) (init = 10725)
    A_0:       8706.67753 +/- 17.8400148 (0.20%) (init = 8996)
[[Correlations]] (unreported correlations are < 0.100)
    C(tau_fwhm, A_0) = -0.5774
    C(tau_fwhm, c)   = -0.1466

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))))