NormalizationParameters¶

class ompy.NormalizationParameters(name, _Model__isfrozen=False, D0=None, Gg=None, Sn=None, Jtarget=None, Emin=0.0, _Emax=None, steps=101, spincutModel=None, spincutPars=None)[source]¶

Bases: ompy.Model

Storage for normalization parameters + some convenience functions

Attributes Summary

`D0`	Average s-wave resonance spacing D0 [eV]
`Emax`	Max energy to integrate <Γγ> to
`Emin`	Min energy to integrate <Γγ> from
`Gg`	Total average radiative width [meV]
`Jtarget`	“Target” (A-1 nucleus) ground state spin
`Sn`	Neutron separation energy [MeV]
`spincutModel`	Spincut model
`spincutPars`	Parameters necessary for the spin cut model
`steps`	Number of steps in energy grid

Methods Summary

`E_grid`([retstep])	Wrapps np.linspace creates linearly spaced array from Emin to Emax
`asdict`()	wrapper for dataclasses.asdict()
`get_parameters`()	Returns a list of the names of the paramters
`is_changed`([include, exclude])	Verify that defaults arguments have been changed
`load`(path)	Loads own parameters from path
`save`(path)	Save the model parameters to path

Attributes Documentation

D0 = None¶: Average s-wave resonance spacing D0 [eV]

Emax¶

Max energy to integrate <Γγ> to

Return type: float

Emin = 0.0¶: Min energy to integrate <Γγ> from

Gg = None¶: Total average radiative width [meV]

Jtarget = None¶: “Target” (A-1 nucleus) ground state spin

Sn = None¶: Neutron separation energy [MeV]

spincutModel = None¶: Spincut model

spincutPars = None¶: Parameters necessary for the spin cut model

steps = 101¶: Number of steps in energy grid

Methods Documentation

E_grid(retstep=True)[source]¶

Wrapps np.linspace creates linearly spaced array from Emin to Emax

Parameters: retstep (bool, optional) – If True (default), returns stepsize
Return type: Union[ndarray, Tuple[ndarray, float]]
Returns: Samples of the array. If retstep is True, returns also spacing between the samples.

asdict()¶

wrapper for dataclasses.asdict()

Return type: Dict[str, Any]

get_parameters()¶

Returns a list of the names of the paramters

Return type: List[str]

is_changed(include=[], exclude=[])¶

Verify that defaults arguments have been changed

Parameters

include (List[str], optional) – List of attribute names be included in the check. Default is all attributes.
exclude (List[str], optional) – List of attribute names to exclude be excluded from check. Default is none

Raises

ValueError – If parameters are still the default values

Return type

None

load(path)¶

Loads own parameters from path

Parameters: path (Union[str, Path]) – Path to pickled file
Raises: IOError – Path doesn’t exist
Return type: None

save(path)¶

Save the model parameters to path

Parameters: path (Union[str, Path]) – The path
Return type: None

D0 = None: Average s-wave resonance spacing D0 [eV]

E_grid(retstep=True)[source]

Wrapps np.linspace creates linearly spaced array from Emin to Emax

Parameters: retstep (bool, optional) – If True (default), returns stepsize
Return type: Union[ndarray, Tuple[ndarray, float]]
Returns: Samples of the array. If retstep is True, returns also spacing between the samples.

property Emax

Max energy to integrate <Γγ> to

Return type: float

Emin = 0.0: Min energy to integrate <Γγ> from

Gg = None: Total average radiative width [meV]

Jtarget = None: “Target” (A-1 nucleus) ground state spin

Sn = None: Neutron separation energy [MeV]

spincutModel = None: Spincut model

spincutPars = None: Parameters necessary for the spin cut model

steps = 101: Number of steps in energy grid