EmissionSpectrum

nexus.EmissionSpectrum(experiment, velocity, electronic=True, intensity_data=[], scaling='auto', background='auto', resolution=1.0, distribution_points=1, fit_weight=1.0, kernel_type='Lorentz', residual=<nexus.clib.cnexus.Sqrt; proxy of <Swig Object of type 'Residual *'> >, time_gate=[], coherence=False, id='')

Constructor for the EmissionSpectrum class. Class to calculate the energy-dependent emission intensity of the experiment.

Parameters:

• id (string) – User identifier.

• experiment (Experiment) – Experiment for the calculation.

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

• electronic (bool) – If True electronic scattering is included.

• intensity_data (list or ndarray) – Intensity data for fitting. Default is an empty list.

• 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 auto.

• resolution (float or Var) – Resolution value for convolution (Gamma). Default is 1.

• distribution_points (int) – Number of points for thickness distributions in forward geometry and angular divergence in grazing geometry. Both distributions assume incoherent summation over the weighted contributions. Default is 1.

• fit_weight (float) – Relative weight for the cost function in multi measurement fitting. Default is 1.

• kernel_type (string) – Type of the resolution kernel. Is used for the convolution of the calculated energy spectrum with the resolution kernel. Can be Gauss or Lorentz. Default is Lorentz.

• 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.

nexus.id

User identifier.

Type:

string

nexus.experiment

Experiment for the calculation.

Type:

Experiment

nexus.detuning

Detuning values for the calculation (Gamma).

Type:

list or ndarray

nexus.electronic

If True electronic scattering is included.

Type:

bool

nexus.result

List of detuning dependent intensity values.

Type:

list

nexus.intensity_data

Intensity data for fitting.

Type:

list

nexus.data_size

Number of data points of experimental intensity data.

Type:

int

nexus.scaling

Intensity scaling factor for fitting.

Type:

Var

nexus.background

Background for fitting.

Type:

Var

nexus.resolution

Resolution value for convolution.

Type:

Var

nexus.resolution_kernel

The used kernel, same step size as detuning.

Type:

list

nexus.distribution_points

Number of points for thickness distributions in forward geometry and angular divergence in grazing geometry. Both distributions assume incoherent summation over the weighted contributions.

Type:

int

nexus.fit_weight

Relative weight for the cost function in multi measurement fitting.

Type:

float

nexus.kernel_type

Type of the resolution kernel. Is used for the convolution of the calculated energy spectrum with the resolution kernel. Can be Gauss or Lorentz.

Type:

string

nexus.residual

Implementation of the residual calculation used for fitting.

Type:

Residual

nexus.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

nexus.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