RFactor

Contents

RFactor#

class RFactor(coeffs, angles='dummy')[source]#

Bases: object

Attributes

`tuple`	Tuple of coefficients (c0, c12, c13, c14).
`dict`	'c0', 'c12', 'c13', 'c14'.
`trigs`	Sympy expressions for cosines of 4 angles present in expression for the R-factor.
`angles`	SymPy symbols for 4 angles.
`angles_type`	Kind of angles, either 'dummy' (phis) or 'experimental` (thetas).
`expr`	SymPy expressions for R-factor.

Methods

`__init__`(coeffs[, angles])	Expression describing polarization and angular momentum dependence of a pathway.
`det_angle`([angles])	Return expr.
`dict_to_expr`()	Regenerate expression from dict.
`expr_relative`()	Return R-factor expressions relative to XXXX polarization.
`expr_xxxx`()	Return R-factor expression for XXXX polarization.
`from_expr`(rexpr[, angles])	Make `RFactor` from R-factor expression.
`from_gterms`(gterms[, pterms, angles])	Make `RFactor` from G-factor and polarization terms.
`from_pathway`(pw[, highj, normalize, ...])	Return R-factor corresponding to `rotsim2d.dressedleaf.Pathway`.
`numeric`(thetai, thetaj, thetak, thetal[, Ji])	Try to efficiently evaluate R-factor with NumPy.
`numeric_rel`(thetai, thetaj, thetak, thetal)	Try to efficiently evaluate relative R-factor with NumPy.