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
- 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