BPL1D

class sherpa.astro.models.BPL1D(name='bpl1d')[source] [edit on github]

Bases: sherpa.models.model.RegriddableModel1D

One-dimensional broken power-law function.

gamma1

The slope of the power law below the break point.

gamma2

The slope of the power law above the break point.

eb

The position of the break point.

ref

The reference position for the amplitude.

ampl

The amplitude, defined with respect to the reference position.

Notes

The functional form of the model for points is:

 f(x) = ampl * (x / ref)^(-gamma1)   x <= eb

      = ampl' * (x / ref)^(-gamma2)  otherwise

ampl' = ampl (eb / ref)^(gamma2 - gamma1)

and for an integrated grid it is the integral of this over the bin.

Attributes Summary

thawedparhardmaxes
thawedparhardmins
thawedparmaxes
thawedparmins
thawedpars

Methods Summary

apply(outer, *otherargs, **otherkwargs)
calc(pars, xlo, *args, **kwargs)
get_center()
guess(dep, *args, **kwargs) Set an initial guess for the parameter values.
regrid(*arrays)
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

thawedparhardmaxes
thawedparhardmins
thawedparmaxes
thawedparmins
thawedpars

Methods Documentation

apply(outer, *otherargs, **otherkwargs) [edit on github]
calc(pars, xlo, *args, **kwargs) [edit on github]
get_center() [edit on github]
guess(dep, *args, **kwargs)[source] [edit on github]

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.

regrid(*arrays) [edit on github]
reset() [edit on github]
set_center(*args, **kwargs) [edit on github]
startup() [edit on github]

Called before a model may be evaluated multiple times.

See also

teardown()

teardown() [edit on github]

Called after a model may be evaluated multiple times.

See also

setup()