get_proj

Synopsis

Return the confidence-interval estimation object.

Syntax

get_proj()

Description

Note

The `conf` function should be used instead of `proj` .

Example

>>> 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

Notes

The attributes of the object include:

Item	Definition
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.

Bugs

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