Last modified: 27 April 2021

How can I plot the ungrouped fitted source model on my grouped data? [Updated]


[NOTE]
New in CIAO 4.13

New in CIAO 4.13 is the ability to set the alpha transparency setting of the data with the alpha option.

When a grouped data set is fit in Sherpa, the plot_fit command plots the grouped source model overlaid on the grouped data. In order to plot the full resolution source model on the grouped data, use the plot_model command, which always plots the ungrouped source model.

For example:

sherpa> plot_fit(xlog=True, ylog=True)
sherpa> plot_model(alpha=0.6, overplot=True)

creates a plot like Figure 1.

Showing the ungrouped model

[The green line shows a similar shape to the orange line but it includes higher-frequency components]
[Print media version: The green line shows a similar shape to the orange line but it includes higher-frequency components]

Showing the ungrouped model

The data (blue points) has been grouped to improve the signal-to-noise, and the orange line shows the model fit using this grouping scheme (created by plot_fit). The model evaluated on the instrument response by plot_model is shown as the green partially-opaque line.