get_syserror

Synopsis

Return the systematic errors on the counts of a data set

get_syserror( [id, filter=False, bkg_id] )

Description

The get_syserror() function returns the systematic errors on the counts of a source or background data set, by data id or bkg_id. If a data filter has been applied to the data set in question, e.g. ignore() or notice(), the systematic error array for either the filtered or unfiltered data set may be returned by setting the 'filter' argument to 'True' or 'False'. If set to 'True', the systematic error array returned by get_syserror() will be filtered, i.e. the array will be shorter in length than the unfiltered array (not padded with zeros). The systematic errors may be defined by the user with set_syserror().

• id - the id of the data set to use; if not given, uses the default dataset id (id=1 by default, see "ahelp get_default_id")
• filter - apply an established data filter to the data set before returning results; default=False
• bkg_id - the id of the background to use, e.g. if more than one background is associated with the data; default is the first background data set loaded

Example 1

sherpa> get_syserror()

When called with no arguments, the get_syserror() function returns the systematic error array of the unfiltered default data set.

sherpa> print(get_syserror())
None

Example 2

sherpa> get_syserror(1, bkg_id=1)

To return the systematic error array of a background associated with a data set, the background ID must be specified along with the data set ID. Here, the systematic error array for the first background loaded for data set 1 is returned by get_syserror().

sherpa> print(get_syserror(1, 1))         
None

Example 3

sherpa> get_syserror(1, filter=True)

If a data set ID is supplied to get_syserror(), the unfiltered systematic error array of the specified data set is returned, unless the 'filter' argument is set to 'True'.

Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.

See Also

confidence

get_conf, get_covar, get_int_proj, get_int_unc, get_proj, get_reg_proj, get_reg_unc

contrib

get_chart_spectrum

data

copy_data, dataspace1d, dataspace2d, delete_data, fake, get_areascal, get_arf, get_arf_plot, get_axes, get_backscal, get_bkg, get_bkg_plot, get_bkg_scale, get_coord, get_counts, get_data, get_data_plot, get_dep, get_dims, get_error, get_exposure, get_grouping, get_indep, get_quality, get_rmf, get_specresp, get_staterror, group, load_ascii, load_data, load_grouping, load_quality, set_data, set_quality, ungroup, unpack_ascii, unpack_data

filtering

get_filter, load_filter, set_filter

fitting

calc_stat_info, get_fit, get_stat_info

info

get_default_id, list_data_ids, list_response_ids, list_stats

methods

get_draws, get_iter_method_name, get_iter_method_opt, get_method

modeling

clean, get_model, get_model_component, get_model_component_image, get_model_component_plot, get_model_plot, get_num_par, get_order_plot, get_par, get_pileup_model, get_response, get_source, get_source_component_image, get_source_component_plot, image_source

plotting

get_split_plot, plot_data, set_xlinear, set_xlog, set_ylinear, set_ylog

psfs

get_kernel, get_psf

saving

save_error, save_filter, save_grouping, save_quality, save_staterror, save_syserror

statistics

get_chisqr_plot, get_delchi_plot, get_prior, get_sampler, get_stat

utilities

calc_data_sum, calc_data_sum2d, calc_ftest, calc_kcorr, calc_mlr, calc_model_sum2d, calc_source_sum2d, get_analysis, get_rate

visualization

contour, contour_data, contour_ratio, get_ratio, get_resid, histogram1d, histogram2d, image_data, image_getregion, rebin