ConvolutionKernel¶

class sherpa.instrument.ConvolutionKernel(kernel, name='conv')[source]¶

Bases: sherpa.models.model.Model

Attributes Summary

`thawedparhardmaxes`
`thawedparhardmins`
`thawedparmaxes`
`thawedparmins`
`thawedpars`

Methods Summary

`calc`(pl, pr, lhs, rhs, \args, \\*kwargs)
`get_center`()
`guess`(dep, \args, \\*kwargs)	Set an initial guess for the parameter values.
`reset`()
`set_center`(\args, \\*kwargs)
`set_kernel`(kernel)
`startup`()	Called before a model may be evaluated multiple times.
`teardown`()	Called after a model may be evaluated multiple times.

Attributes Documentation

thawedparhardmaxes¶

thawedparhardmins¶

thawedparmaxes¶

thawedparmins¶

thawedpars¶

Methods Documentation

calc(pl, pr, lhs, rhs, *args, **kwargs)[source]¶

get_center()¶

guess(dep, *args, **kwargs)¶

Set an initial guess for the parameter values.

Attempt to set the parameter values, and ranges, for the model to match the data values. This is intended as a rough guess, so it is expected that the model is only evaluated a small number of times, if at all.

reset()¶

set_center(*args, **kwargs)¶

set_kernel(kernel)[source]¶

startup()¶: Called before a model may be evaluated multiple times.

See also

teardown()

teardown()¶: Called after a model may be evaluated multiple times.

See also

setup()