def METHOD_NAME(object, measurements = np.zeros(1, dtype=measureDType)):
    #measurements = {}
    measurements['NEvents'] = object.shape[0]
    measurements['xPos'] = object[:,0].mean()
    measurements['yPos'] = object[:,1].mean()
    t = object[:,2].squeeze()
    darkanalysis = fitDarktimes(t)
    measurements['tau1'] = darkanalysis['tau1'][0]
    measurements['tau2'] = darkanalysis['tau2'][0]
    measurements['tau1err'] = darkanalysis['tau1'][1]
    measurements['tau2err'] = darkanalysis['tau2'][1]
    measurements['chisqr1'] = darkanalysis['tau1'][2]
    measurements['chisqr2'] = darkanalysis['tau2'][2]
    measurements['NDarktimes'] = darkanalysis['NDarktimes']
    return measurements