__init__(self, frequencies, intensities, broadening_type='gaussian', breadth=10, noising_function=None, **meta): 

• frequencies: Any

• intensities: Any

• broadening_type: "gaussian" | "lorentzian" | function

  the type of broadening to apply (can be any function)

• breadth: Any

  the breadth or list of breads for the peaks in the spectrum

• meta: Any

plot(self, step_size=0.5, freq_min=None, freq_max=None, figure=None, plot_style=None, filled=False, adjust_width=True, renormalize=True, **opts): 

Applies the broadening then plots it using McUtils.Plots.Plot

• step_size: Any

  step size to use when getting evaluation points for evaluating the broadening

• freq_min: Any

  min freq for evaluation

• freq_max: Any

  max freq for evaluation

• figure: Any

• plot_style: Any

• opts: Any

• :returns: _