import tensorflow as tf

sigmean = tf.Variable(5.28, name="sigmean", dtype=tf.float64)
sigwidth = tf.Variable(0.0027, name="sigwidth", dtype=tf.float64)
vdict['sigmean'] = sigmean
vdict['sigwidth'] = sigwidth

# RooGaussian gauss("gauss","gaussian PDF",mes,sigmean,sigwidth) ;


def gaussian_pdf(x, mean, std):
    val = tf.div(tf.exp(-tf.pow((x - mean) / std, 2) / two), (sqrt2pi * std),
                 name="gaussian_pdf")
    return val


# // --- Build Argus background PDF ---
# RooRealVar argpar("argpar","argus shape parameter",-20.0,-100.,-1.) ;
# RooConstVar m0("m0", "resonant mass", 5.291);

