NuclearReflectivityEnergy

class nexus.NuclearReflectivityEnergy(experiment, sample, angles, detuning, intensity_data=[], scaling='auto', background=0.0, offset=0.0, resolution=0.001, fit_weight=1.0, residual=<nexus.clib.cnexus.Sqrt; proxy of <Swig Object of type 'Residual *'> >, time_gate=[], coherence=False, print_progress=False, id='')

Bases: FitMeasurement

Constructor for the NuclearReflectivityEnergy class. Class to calculate the angular-dependent and energy-integrated total scattering intensity of the experiment while for one sample the gracing-incidence angle is changed.

Parameters:
  • id (string) – User identifier.

  • experiment (Experiment) – Experiment.

  • sample (Sample) – Sample whose angle is changed.

  • angles (list) – List of the angles.

  • detuning (list or ndarray) – Detuning values for the calculation.

  • intensity_data (list or ndarray) – Intensity data for fitting.

  • scaling (float or Var or string) – Intensity scaling factor for fitting. Default is auto.

  • background (float or Var or string) – Background for fitting. Default is 0.

  • or (offset (float) –

    class:Var): Angular offset of the model. Default is 0.

    New in version 1.1.0.

  • resolution (float or Var) – Resolution value for convolution.

  • fit_weight (float) – Relative weight for the cost function in multi measurement fitting.

  • residual (Residual) – Implementation of the residual calculation used for fitting.

  • time_gate (list) –

    An empty or two element list. If a two element list is passed these two values [start, stop] are taken as a time gating. The spectrum is Fourier transformed, the time gate is applied, and time response is transformed back to a spectrum. This does not give a time gated Moessbauer spectrum. Given in ns.

    New in version 1.0.1.

  • coherence (bool) –

    Determines if the summation over the thickness and divergence distributions is performed coherently (True) or incoherently (False). Default is False.

    New in version 1.0.3.

  • print_progrees (bool) –

    Determines if the progress bar is printed. Default is False.

    New in version 1.1.2.

id

User identifier.

Type:

string

experiment

Experiment.

Type:

Experiment

sample

Sample whose angle is changed.

Type:

Sample

angles

List of the angles.

Type:

list

detuning

Detuning values for the calculation.

Type:

list or ndarray

result

List of angle-dependent energy-integrated intensity values in units of (\(\Gamma\)).

Type:

list

intensity_data

Intensity data for fitting.

Type:

list

data_size

Number of data points of experimental data.

Type:

int

scaling

Intensity scaling factor for fitting.

Type:

Var

background

Background for fitting.

Type:

Var

offset (float or

class:Var): Angular offset of the model. Default is 0.

New in version 1.1.0.

resolution

Resolution value for convolution.

Type:

Var

resolution_kernel

Weight of the Gaussian resolution same step size as detuning.

Type:

list

fit_weight

Relative weight for the cost function in multi measurement fitting.

Type:

float

residual

Implementation of the residual calculation used for fitting.

Type:

Residual

time_gate

An empty or two element list. If a two element list is passed these two values [start, stop] are taken as a time gating. The spectrum is Fourier transformed, the time gate is applied, and time response is transformed back to a spectrum. This does not give a time gated Moessbauer spectrum. Given in ns.

New in version 1.0.1.

Type:

list

coherence

Determines if the summation over the thickness and divergence distributions is performed coherently (True) or incoherently (False). Default is False.

New in version 1.0.3.

Type:

bool

print_progrees

Determines if the progress bar is printed. Default is False.

New in version 1.1.2.

Type:

bool

Calculate()

Calculates the class method. Also callable via operator ().

Returns:

Array of intensity values.

Return type:

ndarray

Plot(data=True, residuals=True, velocity=False, datacolor='black', theorycolor='r', theorywidth=2, datalinestyle='none', datamarker='+', datamarkersize=2, datafillstyle='full', legend=True, errors=False, errorcap=2, name=None)

Plot the NuclearReflectivityEnergy.

New in version 1.0.3.

Parameters:
  • data (bool) – Select if intensity_data should be plot.

  • residuals (bool) – Select if residuals from fit should be plot.

  • errors (bool) – select if error bars should be plot.

  • datacolor (string) – See matplotlib documentation.

  • theorycolor (string) – See matplotlib documentation.

  • theorywidth (float) – See matplotlib documentation.

  • datalinestyle (string) – See matplotlib documentation.

  • datamarker (string) – See matplotlib documentation.

  • datamarkersize (float) – See matplotlib documentation.

  • datafillstyle (string) – See matplotlib documentation.

  • legend (bool) – Select if legend should be plot when model and data are plot.

  • name (string) –

    If given, the plot is saved under this name.

    New in version 1.1.0.