Synopsis
Calculate the equivalent width of an emission or absorption line.
Syntax
eqwidth(src, combo, id=None, lo=None, hi=None, bkg_id=None, error=False, params=None, otherids=(), niter=1000, covar_matrix=None) lo - optional hi - optional id - int or string, optional bkg_id - int or string, optional error - bool, optional params - 2D array, optional otherids - sequence of integer or strings, optional niter - int, optional covar_matrix - 2D array, optional
Description
The equivalent width is calculated in the selected units for the data set (which can be retrieved with `get_analysis` ).
Examples
Example 1
Set a source model (a powerlaw for the continuum and a gaussian for the line), fit it, and then evaluate the equivalent width of the line. The example assumes that this is a PHA data set, with an associated response, so that the analysis can be done in wavelength units.
>>> set_source(powlaw1d.cont + gauss1d.line) >>> set_analysis('wavelength') >>> fit() >>> eqwidth(cont, cont+line) 2.1001988282497308
Example 2
The calculation is restricted to the range 20 to 20 Angstroms.
>>> eqwidth(cont, cont+line, lo=20, hi=24) 1.9882824973082310
Example 3
The calculation is done for the background model of data set 2, over the range 0.5 to 2 (the units of this are whatever the analysis setting for this data set id).
>>> set_bkg_source(2, const1d.flat + gauss1d.bline) >>> eqwidth(flat, flat+bline, id=2, bkg_id=1, lo=0.5, hi=2) 0.45494599793003426
Example 4
With the `error` flag set to `True` , the return value is enhanced with extra information, such as the median and one-sigma ranges on the equivalent width:
>>> res = eqwidth(p1, p1 + g1, error=True) >>> ewidth = res[0] # the median equivalent width >>> errlo = res[1] # the one-sigma lower limit >>> errhi = res[2] # the one-sigma upper limit >>> pars = res[3] # the parameter values used >>> ews = res[4] # array of eq. width values
which can be used to display the probability density or cumulative distribution function of the equivalent widths:
>>> plot_pdf(ews) >>> plot_cdf(ews)
PARAMETERS
The parameters for this function are:
Parameter | Definition |
---|---|
src | The continuum model (this may contain multiple components). |
combo | The continuum plus line (absorption or emission) model. |
lo | The lower limit for the calculation (the units are set by `set_analysis` for the data set). The default value ( none ) means that the lower range of the data set is used. |
hi | The upper limit for the calculation (the units are set by `set_analysis` for the data set). The default value ( none ) means that the upper range of the data set is used. |
id | The data set that provides the data. If not given then all data sets with an associated model are used simultaneously. |
bkg_id | The identifier of the background component to use. This should only be set when the line to be measured is in the background model. |
error | The parameter indicates whether the errors are to be calculated or not. The default value is False |
params | The default is None, in which case get_draws shall be called. The user can input the parameter array (e.g. from running `sample_flux` ). |
otherids | Other data sets to use in the calculation. |
niter | The number of draws to use. The default is 1000 . |
covar_matrix | The covariance matrix to use. If none then the result from `get_covar_results().extra_output` is used. |
Return value
The return value from this function is:
If error is False , then returns the equivalent width, otherwise the median, 1 sigma lower bound, 1 sigma upper bound, the parameters array, and the array of the equivalent width values used to determine the errors.
Changes in CIAO
Changed in CIAO 4.11
The `error` parameter was added which controls whether the return value is a scalar (the calculated equivalent width), when set to `False` , or the median value, error limits, and ancillary values.
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- data
- 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
- info
- list_model_ids, show_bkg_model, show_bkg_source
- modeling
- add_model, add_user_pars, clean, create_model_component, delete_bkg_model, delete_model, delete_model_component, get_model, get_model_autoassign_func, get_model_component, get_model_component_image, get_model_component_plot, get_model_plot, get_num_par, get_num_par_frozen, get_num_par_thawed, get_order_plot, get_par, get_pileup_model, get_source, get_source_component_image, get_source_component_plot, get_source_contour, get_source_image, get_source_plot, get_xsabund, get_xscosmo, get_xsxsect, get_xsxset, image_model, image_model_component, image_source, image_source_component, integrate, link, load_table_model, load_template_interpolator, load_template_model, load_user_model, normal_sample, reset, save_model, save_source, set_bkg_model, set_bkg_source, set_full_model, set_model, set_model_autoassign_func, set_pileup_model, set_source, set_xsabund, set_xscosmo, set_xsxsect, set_xsxset, t_sample, uniform_sample
- plotting
- get_cdf_plot, get_pdf_plot, get_pvalue_plot, get_pvalue_results, plot_cdf, plot_model, plot_model_component, plot_pdf, plot_pvalue, plot_scatter, plot_source, plot_source_component, plot_trace
- psfs
- delete_psf, load_conv
- saving
- save_delchi, save_resid
- utilities
- calc_chisqr, calc_energy_flux, calc_model_sum, calc_photon_flux, calc_source_sum, calc_stat
- visualization
- contour_model, contour_ratio, contour_resid