Synopsis
Return the results of the last conf run.
Syntax
get_conf_results() Alias: get_confidence_results
Examples
Example 1
>>> res = get_conf_results() >>> print(res) datasets = (1,) methodname = confidence iterfitname = none fitname = levmar statname = chi2gehrels sigma = 1 percent = 68.2689492137 parnames = ('p1.gamma', 'p1.ampl') parvals = (2.1585155113403327, 0.00022484014787994827) parmins = (-0.082785567348122591, -1.4825550342799376e-05) parmaxes = (0.083410634144100104, 1.4825550342799376e-05) nfits = 13
Example 2
The following converts the above into a dictionary where the keys are the parameter names and the values are the tuple (best-fit value, lower-limit, upper-limit):
>>> pvals1 = zip(res.parvals, res.parmins, res.parmaxes) >>> pvals2 = [(v, v+l, v+h) for (v, l, h) in pvals1] >>> dres = dict(zip(res.parnames, pvals2)) >>> dres['p1.gamma'] (2.1585155113403327, 2.07572994399221, 2.241926145484433)
Notes
The fields of the object include:
Item | Definition |
---|---|
datasets | A tuple of the data sets used in the analysis. |
methodname | This will be 'confidence'. |
iterfitname | The name of the iterated-fit method used, if any. |
fitname | The name of the optimization method used. |
statname | The name of the fit statistic used. |
sigma | The sigma value used to calculate the confidence intervals. |
percent | The percentage of the signal contained within the confidence intervals (calculated from the sigma value assuming a normal distribution). |
parnames | A tuple of the parameter names included in the analysis. |
parvals | A tuple of the best-fit parameter values, in the same order as parnames . |
parmins | A tuple of the lower error bounds, in the same order as parnames . |
parmaxes | A tuple of the upper error bounds, in the same order as parnames . |
nfits | The number of model evaluations. |
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- confidence
- conf, confidence, covar, covariance, get_conf, get_covar, get_covar_opt, get_covar_results, get_covariance_results, get_int_proj, get_int_unc, get_proj, get_proj_opt, get_proj_results, get_projection_results, get_reg_proj, get_reg_unc, int_proj, int_unc, proj, projection, reg_proj, reg_unc, set_conf_opt, set_covar_opt, set_proj_opt
- contrib
- get_chart_spectrum, get_marx_spectrum
- data
- get_areascal, get_arf, get_arf_plot, get_axes, get_backscal, get_bkg, get_bkg_arf, get_bkg_chisqr_plot, get_bkg_delchi_plot, get_bkg_fit_plot, get_bkg_model, get_bkg_model_plot, get_bkg_plot, get_bkg_ratio_plot, get_bkg_resid_plot, get_bkg_rmf, get_bkg_scale, get_bkg_source, get_bkg_source_plot, get_coord, 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_exposure, get_grouping, get_indep, get_quality, get_rmf, get_specresp, get_staterror, get_syserror
- filtering
- get_filter
- fitting
- calc_stat_info, get_stat_info
- info
- get_default_id, list_stats
- methods
- get_draws, get_iter_method_name, get_iter_method_opt, get_method, get_method_name, get_method_opt
- modeling
- get_model, 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_response, get_source, get_source_component_image, get_source_component_plot, get_source_contour, get_source_image, get_source_plot, image_source
- plotting
- get_split_plot
- psfs
- get_psf, get_psf_contour, get_psf_image, get_psf_plot
- statistics
- get_chisqr_plot, get_delchi_plot, get_prior, get_sampler, get_stat, get_stat_name
- utilities
- get_analysis, get_rate
- visualization
- image_getregion