plot_sensitivity_curve
- legwork.visualisation.plot_sensitivity_curve(frequency_range=None, y_quantity='ASD', fig=None, ax=None, show=True, figsize=(10, 7), color='#18068b', fill=True, alpha=0.2, linewidth=1, label=None, **kwargs)[source]
Plot the LISA sensitivity curve
- Parameters
- frequency_rangefloat array
Frequency values at which to plot the sensitivity curve
- y_quantity{{ “ASD”, “h_c” }}
Which quantity to plot on the y axis (amplitude spectral density or characteristic strain)
- fig: `matplotlib Figure`
A figure on which to plot the distribution. Both ax and fig must be supplied for either to be used
- ax: `matplotlib Axis`
An axis on which to plot the distribution. Both ax and fig must be supplied for either to be used
- showboolean
Whether to immediately show the plot or only return the Figure and Axis
- figsizetuple
Tuple with size for the x- and y-axis if creating a new figure (i.e. ignored when fig/ax is not None)
- colorstring or tuple
Colour to use for the curve, see https://matplotlib.org/tutorials/colors/colors.html for details on how to specify a colour
- fillboolean
Whether to fill the area below the sensitivity curve
- alphafloat
Opacity of the filled area below the sensitivity curve (ignored if fill is False)
- linewidthfloat
Width of the sensitivity curve
- labelstring
Label for the sensitivity curve in legends
- **kwargsvarious
Keyword args are passed to
legwork.psd.power_spectral_density(), see those docs for details on possible arguments.
- Returns
- figmatplotlib Figure
The figure on which the distribution is plotted
- axmatplotlib Axis
The axis on which the distribution is plotted