PSFModel¶

class sherpa.instrument.PSFModel(name='psfmodel', kernel=None)[source]¶

Bases: sherpa.models.model.Model

Attributes Summary

`center`	array of size parameters
`origin`	FFT origin
`size`	array of size parameters
`thawedparhardmaxes`
`thawedparhardmins`
`thawedparmaxes`
`thawedparmins`
`thawedpars`

Methods Summary

`calc`(\args, \\*kwargs)
`fold`(data)
`get_center`()
`get_kernel`(data[, subkernel])
`guess`(dep, \args, \\*kwargs)	Set an initial guess for the parameter values.
`reset`()
`set_center`(\args, \\*kwargs)
`startup`()	Called before a model may be evaluated multiple times.
`teardown`()	Called after a model may be evaluated multiple times.

Attributes Documentation

center¶: array of size parameters

origin¶: FFT origin

size¶: array of size parameters

thawedparhardmaxes¶

thawedparhardmins¶

thawedparmaxes¶

thawedparmins¶

thawedpars¶

Methods Documentation

calc(*args, **kwargs)[source]¶

fold(data)[source]¶

get_center()¶

get_kernel(data, subkernel=True)[source]¶

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)¶

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()