openmc.data.ReichMooreCovariance

class openmc.data.ReichMooreCovariance(energy_min, energy_max, parameters, covariance, mpar, lcomp, file2res)[source]

Reich-Moore resolved resonance formalism covariance data.

Reich-Moore resolved resonance data is identified by LRF=3 in the ENDF-6 format.

Parameters:
  • energy_min (float) – Minimum energy of the resolved resonance range in eV
  • energy_max (float) – Maximum energy of the resolved resonance range in eV
Variables:
  • energy_min (float) – Minimum energy of the resolved resonance range in eV
  • energy_max (float) – Maximum energy of the resolved resonance range in eV
  • parameters (pandas.DataFrame) – Resonance parameters
  • covariance (numpy.array) – The covariance matrix contained within the ENDF evaluation
  • lcomp (int) – Flag indicating format of the covariance matrix within the ENDF file
  • mpar (int) – Number of parameters in covariance matrix for each individual resonance
  • file2res (openmc.data.ResonanceRange object) – Corresponding resonance range with File 2 data.
  • formalism (str) – String descriptor of formalism
classmethod from_endf(ev, file_obj, items, resonance)[source]

Create Reich-Moore resonance covariance data from an ENDF evaluation. Includes the resonance parameters contained separately in File 32.

Parameters:
  • ev (openmc.data.endf.Evaluation) – ENDF evaluation
  • file_obj (file-like object) – ENDF file positioned at the second record of a resonance range subsection in MF=2, MT=151
  • items (list) – Items from the CONT record at the start of the resonance range subsection
  • resonance (openmc.data.Resonance object) – openmc.data.Resonanance object generated from the same evaluation used to import values not contained in File 32
Returns:

Reich-Moore resonance covariance parameters
Return type:

openmc.data.ReichMooreCovariance