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Last modified: December 2015

URL: http://cxc.harvard.edu/sherpa/ahelp/calc_stat_info.html
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AHELP for CIAO 4.9 Sherpa v1

calc_stat_info

Context: fitting

Synopsis

Returns goodness-of-fit statistics associated with a Sherpa data set.

Syntax

calc_stat_info()

Description

The calc_stat_info() function returns the goodness-of-fit statistics associated with a data set and its assigned model. The advantage it offers over the other Sherpa functions which return similar information, e.g. fit() and get_fit_results(), is that it returns statistics on individual data sets included in a simultaneous fit, plus the statistics of the simultaneous fit, whereas the other functions would only return the statistics of the simultaneous fit. The get_stat_info() function is available for parsing the information returned by calc_stat_info(), e.g. so that it can be stored in variables and therefore easily accessed and manipulated within a script.

The calc_stat_info() functions returns the following information about how well the specified models fit the data:

Field Description
Dataset data set ID
Statistic The name of the chosen fit statistic
Fit statistic value The current statistic value
Data points The number of bins in the fit
Degrees of freedom The number of degrees of freedom in the fit, i.e. the number of bins minus the number of free parameters
Probability [Q-value] A measure of the probability that one would observe the reduced statistic value, or a larger value, if the assumed model is true and the best-fit model parameters are the true parameter values. This is only reported for the chi-square, 'cstat', and 'wstat' statistics.
Reduced statistic The fit statistic value divided by the number of degrees of freedom. This is only reported for the chi-square, 'cstat', and 'wstat' statistics.

This function accepts no arguments; it returns the fit statistics for all data sets which have been assigned models, including background data sets associated with source data sets. This means that if a fit has not yet been performed in the Sherpa session, calc_stat_info() will return not-very-meaningful statistics for data sets which have been assigned models but which have not yet been fit. Also, if a fit has been performed for only some of the data sets with assigned models, those data sets which were not explicitly fit will be included in the simultaneous fit results returned by calc_stat_info() (see an example of this behavior below in the examples section).

Example 1

sherpa> load_pha("source.pi")
sherpa> load_arf("arf1.fits")
sherpa> load_rmf("rmf1.fits")
sherpa> set_source(xsphabs.abs1 * xspowerlaw.p1)
sherpa> subtract()
sherpa> fit()
sherpa> calc_stat_info()
sherpa> f = get_stat_info()[0]
sherpa> print(f.rstat)

The calc_stat_info() function is used to return the goodness-of-fit statistics resulting from the fit of an absorbed power law model to background-subtracted data set 1. The get_stat_info() function is used to store this information to variable "f", and variable "f" is used to access the reduced statistic value contained in the calc_stat_info() results.

sherpa> calc_stat_info()
Dataset               = 1
Statistic             = chi2gehrels
Fit statistic value   = 703.792
Data points           = 1024
Degrees of freedom    = 1021
Probability [Q-value] = 1
Reduced statistic     = 0.689316

sherpa> f = get_stat_info()[0]
sherpa> print(f)
name      = Dataset [1]
ids       = [1]
bkg_ids   = None
statname  = chi2gehrels
statval   = 703.791857589
numpoints = 1024
dof       = 1021
qval      = 1.0
rstat     = 0.689316217031

sherpa> print(f.rstat)
0.689316217031

Example 2

sherpa> set_source(xsphabs.abs1 * powlaw1d.p1)
sherpa> set_bkg_source(p1)
sherpa> fit()
...
sherpa> calc_stat_info()

Return the statistics resulting from a simultaneous fit of the source spectrum assigned to default data set 1 and its associated background spectrum.

sherpa> calc_stat_info()
Dataset               = 1
Statistic             = chi2gehrels
Fit statistic value   = 229.711
Data points           = 46
Degrees of freedom    = 43
Probability [Q-value] = 2.46463e-27
Reduced statistic     = 5.34212

Background 1 in Dataset = 1
Statistic             = chi2gehrels
Fit statistic value   = 150.291
Data points           = 46
Degrees of freedom    = 44
Probability [Q-value] = 1.54791e-13
Reduced statistic     = 3.4157

Dataset               = 1
Statistic             = chi2gehrels
Fit statistic value   = 380.002
Data points           = 92
Degrees of freedom    = 89
Probability [Q-value] = 1.318e-37
Reduced statistic     = 4.26968

Example 3

sherpa> fit(2)
sherpa> calc_stat_info()

Return the statistics resulting from an explicit fit to source data set 2, and the statistics for data set 1 had it been included in the fit to data set 2.

sherpa> list_data_ids()
[1,2]
sherpa> fit(2)

sherpa> calc_stat_info()
WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set
WARNING: data set 2 has associated backgrounds, but they have not been subtracted, nor have background models been set
Dataset               = 1
Statistic             = chi2gehrels
Fit statistic value   = 225.242
Data points           = 46
Degrees of freedom    = 43
Probability [Q-value] = 1.54579e-26
Reduced statistic     = 5.23818

Dataset               = 2
Statistic             = chi2gehrels
Fit statistic value   = 54.4582
Data points           = 46
Degrees of freedom    = 44
Probability [Q-value] = 0.134171
Reduced statistic     = 1.23769

Datasets              = [1, 2]
Statistic             = chi2gehrels
Fit statistic value   = 279.7
Data points           = 92
Degrees of freedom    = 89
Probability [Q-value] = 1.44025e-21
Reduced statistic     = 3.1427

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
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
get_chisqr_plot, get_delchi_plot, get_prior, get_sampler, get_stat
utilities
get_analysis, get_rate
visualization
get_ratio, get_resid, image_getregion

Last modified: December 2015
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