get_proj

sherpa.astro.ui.get_proj()

Return the confidence-interval estimation object.

Note

The conf function should be used instead of proj.

Returns:

proj

Return type:

object

See also

conf

Estimate parameter confidence intervals using the confidence method.

get_proj_opt

Return one or all of the options for the confidence interval method.

proj

Estimate confidence intervals for fit parameters.

set_proj_opt

Set an option of the proj estimation object.

Notes

The attributes of the object include:

eps

The precision of the calculated limits. The default is 0.01.

fast

If True then the fit optimization used may be changed from the current setting (only for the error analysis) to use a faster optimization method. The default is False.

max_rstat

If the reduced chi square is larger than this value, do not use (only used with chi-square statistics). The default is 3.

maxfits

The maximum number of re-fits allowed (that is, when the remin filter is met). The default is 5.

maxiters

The maximum number of iterations allowed when bracketing limits, before stopping for that parameter. The default is 200.

numcores

The number of computer cores to use when evaluating results in parallel. This is only used if parallel is True. The default is to use all cores.

parallel

If there is more than one free parameter then the results can be evaluated in parallel, to reduce the time required. The default is True.

remin

The minimum difference in statistic value for a new fit location to be considered better than the current best fit (which starts out as the starting location of the fit at the time proj is called). The default is 0.01.

sigma

What is the error limit being calculated. The default is 1.

soft_limits

Should the search be restricted to the soft limits of the parameters (True), or can parameter values go out all the way to the hard limits if necessary (False). The default is False

tol

The tolerance for the fit. The default is 0.2.

Examples

>>> print(get_proj())
name        = projection
numcores    = 8
max_rstat   = 3
maxiters    = 200
soft_limits = False
eps         = 0.01
fast        = False
maxfits     = 5
remin       = 0.01
tol         = 0.2
sigma       = 1
parallel    = True