How to use the presto.psr_utils.gaussian_profile function in presto

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github scottransom / presto / bin / pygaussfit.py View on Github external
def gen_gaussians(params, N):
    """
    gen_gaussians(params, N):
        Return a model of a DC-component + M gaussians
            params is a sequence of 1+M*3 values
                the first value is the DC component.  Each remaining
                group of three represents the gaussians phase (0-1),
                FWHM (0-1), and amplitude (>0.0).
            N is the number of points in the model.
    """
    numgaussians = (len(params)-1) // 3
    model = Num.zeros(N, dtype='d') + params[0]
    for ii in range(numgaussians):
        phase, FWHM, amp = params[1+ii*3:4+ii*3]
        model += amp * gaussian_profile(N, phase, FWHM)
    return model
github scottransom / presto / bin / pygaussfit.py View on Github external
def plot_gaussians(self, params):
        plt.subplot(211)
        plt.cla()
        # Re-plot the original profile
        plt.plot(self.phases, self.profile, c='black', lw=3, alpha=0.3)
        plt.xlabel('Pulse Phase')
        plt.ylabel('Pulse Amplitude')
        DC = params[0]
        # Plot the individual gaussians
        for ii in range(self.numgaussians):
            phase, FWHM, amp = params[1+ii*3:4+ii*3]
            plt.plot(self.phases, DC + amp*gaussian_profile(self.proflen, phase, FWHM))