uniform_sample

sherpa.sim.sample.uniform_sample(fit, num=1, factor=4, numcores=None)

Sample the fit statistic by taking the parameter values from an uniform distribution.

For each iteration (sample), change the thawed parameters by drawing values from a uniform distribution, and calculate the fit statistic.

Parameters:

• fit – The fit results.
• num (int, optional) – The number of samples to use (default is 1).
• factor (number, optional) – Multiplier to expand the scale parameter (default is 4).
• numcores (optional) – The number of CPU cores to use. The default is to use all the cores on the machine.

Returns:

A NumPy array table with the first column representing the statistic and later columns the parameters used.

Return type:

samples

See also

normal_sample()

Sample from a normal distribution.

t_sample()

Sample from the Student’s t-distribution.