Synopsis
Apply a set of quality flags to a PHA data set.
Syntax
set_quality(id, val=None, bkg_id=None) id - int or str, optional val - array of int bkg_id - int or str, optional
Description
A quality value of 0 indicates a good channel, otherwise (values >=1) the channel is considered bad and can be excluded using the `ignore_bad` function, as discussed in the OGIP standard.
Examples
Example 1
Copy the quality array from data set 2 into the default data set, and then ensure that any 'bad' channels are ignored:
>>> qual = get_data(2).quality >>> set_quality(qual) >>> ignore_bad()
Example 2
Copy the quality array from data set "src1" to the source and background data sets of "src2":
>>> qual = get_data("src1").quality >>> set_quality("src2", qual) >>> set_quality("src2", qual, bkg_id=1)
PARAMETERS
The parameters for this function are:
Parameter | Definition |
---|---|
id | The identifier for the data set to use. If not given then the default identifier is used, as returned by `get_default_id` . |
val | This must be an array of quality values of the same length as the data array. |
bkg_id | Set if the quality values should be associated with the background associated with the data set. |
Notes
The function does not follow the normal Python standards for parameter use, since it is designed for easy interactive use. When called with a single un-named argument, it is taken to be the `val` parameter. If given two un-named arguments, then they are interpreted as the `id` and `val` parameters, respectively.
The meaning of the quality column is taken from the OGIP standard, which says that 0 indicates a "good" channel, 1 and 2 are for channels that are identified as "bad" or "dubious" (respectively) by software, 5 indicates a "bad" channel set by the user, and values of 3 or 4 are not used.
References
- K. A. Arnaud, I. M. George & A. F. Tennant, "The OGIP Spectral File Format"
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- confidence
- set_conf_opt, set_covar_opt, set_proj_opt
- data
- copy_data, dataspace1d, dataspace2d, datastack, delete_data, fake, get_axes, get_bkg_chisqr_plot, get_bkg_delchi_plot, get_bkg_fit_plot, get_bkg_model_plot, get_bkg_plot, get_bkg_ratio_plot, get_bkg_resid_plot, get_bkg_source_plot, get_counts, get_data, get_data_contour, get_data_contour_prefs, get_data_image, get_data_plot, get_data_plot_prefs, get_dep, get_dims, get_error, get_quality, get_specresp, get_staterror, get_syserror, group, group_adapt, group_adapt_snr, group_bins, group_counts, group_snr, group_width, load_ascii, load_data, load_grouping, load_quality, set_areascal, set_arf, set_backscal, set_bkg, set_coord, set_counts, set_data, set_dep, set_exposure, set_grouping, set_rmf, set_staterror, set_syserror, ungroup, unpack_ascii, unpack_data
- filtering
- get_filter, ignore_bad, load_filter, set_filter
- info
- get_default_id, list_data_ids, list_response_ids
- methods
- set_iter_method, set_iter_method_opt, set_method, set_method_opt
- modeling
- clean, get_par, get_xsabund, get_xscosmo, get_xsxsect, get_xsxset, set_bkg_model, set_bkg_source, set_full_model, set_model, set_par, set_pileup_model, set_source, set_xsabund, set_xscosmo, set_xsxsect, set_xsxset
- plotting
- plot_data, set_xlinear, set_xlog, set_ylinear, set_ylog
- saving
- save_error, save_filter, save_grouping, save_quality, save_staterror, save_syserror
- statistics
- set_prior, set_sampler, set_sampler_opt, set_stat
- utilities
- calc_data_sum, calc_data_sum2d, calc_ftest, calc_kcorr, calc_mlr, calc_model_sum2d, calc_source_sum2d, get_rate, set_analysis, set_default_id
- visualization
- contour, contour_data, contour_ratio, histogram1d, histogram2d, image_data, image_setregion, rebin