Synopsis
Add parameter information to a user model.
Syntax
add_user_pars(modelname, parnames, parvals=None, parmins=None, parmaxs=None, parunits=None, parfrozen=None)
Examples
Example 1
Create a user model for the function `profile` called "myprof", which has two parameters called "core" and "ampl", both of which will start with a value of 0.
>>> load_user_model(profile, "myprof") >>> add_user_pars("myprof", ["core", "ampl"])
Example 2
Set the starting values, minimum values, and whether or not the parameter is frozen by default, for the "prof" model:
>>> pnames = ["core", "ampl", "intflag"] >>> pvals = [10, 200, 1] >>> pmins = [0.01, 0, 0] >>> pfreeze = [False, False, True] >>> add_user_pars("prof", pnames, pvals, ... parmins=pmins, parfrozen=pfreeze)
PARAMETERS
The parameters for this function are:
Parameter | Type information | Definition |
---|---|---|
modelname | str | The name of the user model (created by `load_user_model` ). |
parnames | array of str | The names of the parameters. The order of all the parameter arrays must match that expected by the model function (the first argument to `load_user_model` ). |
parvals | array of number, optional | The default values of the parameters. If not given each parameter is set to 0. |
parmins | array of number, optional | The minimum values of the parameters (hard limit). The default value is -3.40282e+38. |
parmaxs | array of number, optional | The maximum values of the parameters (hard limit). The default value is 3.40282e+38. |
parunits | array of str, optional | The units of the parameters. This is only used in screen output (i.e. is informational in nature). |
parfrozen | array of bool, optional | Should each parameter be frozen. The default is that all parameters are thawed. |
Notes
The parameters must be specified in the order that the function expects. That is, if the function has two parameters, pars[0]='slope' and pars[1]='y_intercept', then the call to add_user_pars must use the order ["slope", "y_intercept"].
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- data
- dataspace1d, dataspace2d, datastack, fake, 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, load_arf, load_arrays, load_ascii, load_bkg, load_bkg_arf, load_bkg_rmf, load_data, load_grouping, load_image, load_multi_arfs, load_multi_rmfs, load_pha, load_quality, load_rmf, load_staterror, load_syserror, load_table, pack_image, pack_pha, pack_table, unpack_arf, unpack_arrays, unpack_ascii, unpack_bkg, unpack_data, unpack_image, unpack_pha, unpack_rmf, unpack_table
- filtering
- load_filter
- info
- get_default_id, list_bkg_ids, list_data_ids, list_model_ids, show_bkg_model, show_bkg_source
- modeling
- add_model, 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, 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, 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_arrays, save_data, save_delchi, save_error, save_filter, save_grouping, save_image, save_pha, save_quality, save_resid, save_staterror, save_syserror, save_table
- statistics
- load_user_stat
- utilities
- calc_chisqr, calc_energy_flux, calc_model_sum, calc_photon_flux, calc_source_sum, calc_stat, eqwidth
- visualization
- contour_model, contour_ratio, contour_resid