| AHELP for CIAO 4.5 Sherpa v1 | get_prior |
Context: statistics |
Synopsis
Access the prior function associated with a Sherpa model parameter.
Syntax
get_prior(par)
Description
The Sherpa prior functions constitute a subset of the pyBLoCXS suite of functions; pyBLoCXS is a sophisticated Markov chain Monte Carlo (MCMC) based algorithm designed to carry out Bayesian Low-Count X-ray Spectral (BLoCXS) analysis in the Sherpa environment. The algorithm explores parameter space at a suspected minimum using a predefined Sherpa model to high-energy X-ray spectral data.
By default, pyBLoCXS uses a flat prior defined between the hardcoded parameter minima and maxima. The get_prior() function may be used to access the name of the prior function ('prior') which has been assigned to a thawed fit parameter ('par'), using set_prior() (see 'ahelp set_prior').
- par - Sherpa model parameter for which the associated prior function shouldbe returned
The list of currently set prior-parameter pairs is returned by the list_priors command.
Refer to the pyBLoCXS documentation for additional information about the algorithm.
Example 1
print get_prior(therm.kT)
Access the prior function assigned to the temperature parameter of the Sherpa model 'xsapec.therm'.
sherpa> normgauss1d.g1 sherpa> xsapec.therm sherpa> g1.pos=2.5; g1.fwhm=0.5 sherpa> set_prior(therm.kT,g1) sherpa> get_prior(therm.kT) normgauss1d.g1 Param Type Value Min Max Units ----- ---- ----- --- --- ----- g1.fwhm thawed 0.5 1.17549e-38 3.40282e+38 g1.pos thawed 2.5 -3.40282e+38 3.40282e+38 g1.ampl thawed 1 -3.40282e+38 3.40282e+38
Example 2
get_prior(abs1.nH)
Access the name of the user-defined function which was asisgned as the prior for the 'nH' parameter of a Sherpa absorption model.
sherpa> def lognorm(x, sigma=0.5, norm=1.0, x0=20.): xl=numpy.log10(x)+22. return (norm/numpy.sqrt(2*numpy.pi)/sigma)*numpy.exp(-0.5*(xl-x0)*(xl-x0)/sigma/sigma) sherpa> set_prior(abs1.nH,lognorm) sherpa> print get_prior(abs1.nH) <function lognorm at 0xc857230>
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
- 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, get_syserror
- filtering
- get_filter
- fitting
- calc_stat_info, get_fit, get_stat_info
- info
- get_default_id, list_stats
- methods
- get_draws, get_iter_method_name, get_iter_method_opt, get_method
- modeling
- 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
- psfs
- get_kernel, get_psf
- statistics
- cash, chi2constvar, chi2datavar, chi2gehrels, chi2modvar, chi2xspecvar, chisquare, cstat, get_chisqr_plot, get_delchi_plot, get_sampler, get_stat, leastsq, list_priors, set_prior, set_sampler, set_stat
- utilities
- get_analysis, get_rate
- visualization
- get_ratio, get_resid, image_getregion

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