mcdc.tally#
- mcdc.tally(scores, x=array([-1.e+10, 1.e+10]), y=array([-1.e+10, 1.e+10]), z=array([-1.e+10, 1.e+10]), t=array([-1.e+10, 1.e+10]), mu=array([-1., 1.]), azi=array([-3.14159265, 3.14159265]), g=array([-1.e+10, 1.e+10]), E=array([0.e+00, 1.e+10]))#
Create a tally card to collect MC solutions.
Parameters#
- scoreslist of str
List of tally types (default [“tracklength”]).
- xarray_like[float], optional
x-coordinates that demarcate tally bins (default numpy.ndarray([-INF, INF])).
- yarray_like[float], optional
y-coordinates that demarcate tally bins (default numpy.ndarray([-INF, INF])).
- zarray_like[float], optional
z-coordinates that demarcate tally bins (default numpy.ndarray([-INF, INF])).
- tarray_like[float], optional
Times that demarcate tally bins (default numpy.ndarray([-INF, INF])).
- muarray_like[float], optional
Angles that demarcate axial angular tally bins (default numpy.ndarray([-1.0, 1.0])).
- aziarray_like[float], optional
Angles that demarcate azimuthal angular tally bins (default numpy.ndarray([-1.0, 1.0])).
- garray_like[float], optional
Energies that demarcate energy tally bins (default numpy.ndarray([-INF, INF])).
- Earray_like[float], optional
Continuous energy functionality, (default numpy.ndarray([0.0, INF])).
Returns#
- dictionary
A tally card.