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) Evaluate the model on a grid.
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]

Evaluate the model on a grid.

Parameters:
  • p (sequence of numbers) – The parameter values to use. The order matches the pars field.
  • *args – The model grid. The values can be scalar or arrays, and the number depends on the dimensionality of the model and whether it is being evaluated over an integrated grid or at a point (or points).
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()