get_stat_info

Context: fitting

Synopsis

Parses the goodness-of-fit statistic information returned by calc_stat_info()

Syntax

get_stat_info()

The get_stat_info() function is available for parsing the output of the calc_stat_info() function, which returns the goodness-of-fit statistics associated with a data set and its assigned model. The advantage it offers over the get_fit_results() function is that it returns statistics on individual data sets included in a simultaneous fit, plus the statistics of the simultaneous fit, whereas get_fit_results() would only return the statistics of the simultaneous fit. The get_stat_info() function is useful for accessing and manipulating individual components of the calc_stat_info() structure, e.g. within a script, whereas calc_stat_info() is recommended for printing fit statistic information to the screen, at the Sherpa command line.

The get_stat_info() function returns the following information about how well the specified models fit the data:

name - name of data set
ids - data set ID number
bkg_ids - associated background data set ID number
statname - the chosen fit statistic
statval - fit statistic value
numpoints - number of bins in the fit
dof - the number of degrees of freedom in the fit, i.e. the number of bins minus the number of free parameters
qval - [only reported with chi-square and 'cstat' statistics] a measure of the (Q-value) 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
rstat - [only reported with chi-square and 'cstat' statistics] fit statistic value divided by the number of degrees of freedom

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> set_source(xsphabs.abs1 * powlaw1d.p1)
sherpa> set_bkg_model("p1")
sherpa> fit()
sherpa> print get_stat_info()[0]
sherpa> print get_stat_info()[1]
sherpa> print get_stat_info()[2]

Return the statistics resulting from a simultaneous fit of the source and background spectra assigned to default data set 1. Print the goodness-of-fit statistics for each individual data set included in the fit, plus the simultaneous fit.

sherpa> print(get_stat_info()[0])
name      = Dataset 1
ids       = (1,)
bkg_ids   = None
statname  = chi2gehrels
statval   = 5506.18997409
numpoints = 1024
dof       = 1021
qval      = 0.0
rstat     = 5.39293827041

sherpa> print(get_stat_info()[1])
name      = Background 1 for Dataset 1
ids       = (1,)
bkg_ids   = (1,)
statname  = chi2gehrels
statval   = 15975.5866119
numpoints = 1024
dof       = 1022
qval      = 0.0
rstat     = 15.6316894441

sherpa-23> print(get_stat_info()[2])
name      = Dataset [1]
ids       = [1]
bkg_ids   = None
statname  = chi2gehrels
statval   = 21481.776586
numpoints = 2048
dof       = 2045
qval      = 0.0
rstat     = 10.5045362279

Example 2

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 parse this information and store the fit statistic information to variable "f"; "f" is then used in turn to access the reduced statistic value.

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

Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.