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Shown below will be the undownloaded games.
An example of the dir command is shown below.
These values can be seen by using the print command, as shown below.
The source, background, and source ARF data may be visualized with plot_data, plot_bkg and plot_arf (or simply the plot command, as shown below).
The arrays of model parameter values and associated fluxes from our two sample_flux runs may be written to file using the Sherpa save_arrays command, as shown below.
To simulate a PHA data set, a source model expression must be defined and assigned a data set ID, such as "faked", which then gets populated with simulated data values after running the fake_pha command as shown below.
An example of these two commands is shown below.
The scales for sample_flux may now be defined using the covariance results from get_covar_results, using the command directly, as shown below, or the 'matrix' variable defined above.
And his command showed enormous courage.
The command for the same is shown below.
The chips command to make the plot are shown below.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com