MulensModel.binarylenswithshear module

class MulensModel.binarylenswithshear.BinaryLensWithShear(mass_1=None, mass_2=None, separation=None, convergence_K=None, shear_G=None)

Bases: MulensModel.binarylens.BinaryLens

The binary lens with shear and convergence: solutions, images, parities, magnifications, etc.

The binary lens with shear and convergence equation is the 9th order complex polynomial.

Attributes :

mass_1: float

mass of the primary (left-hand object) as a fraction of the total mass.

mass_2: float

mass of the secondary (right-hand object) as a fraction of the total mass.

separation: float

separation between the two bodies as a fraction of the Einstein ring.

convergence_K: float

External mass sheet convergence.

shear_G: complex

External mass sheat shear.

Note: mass_1 and mass_2 may be defined as a fraction of some other mass than the total mass. This is possible but not recommended - make sure you know what you’re doing before you start using this possibility.

If you’re using this class, then please cite Peirson et al. (2022; ApJ 927, 24).

point_source_magnification(source_x, source_y, vbbl_on=True)

Calculate point source magnification for given position. The origin of the coordinate system is at the center of mass and both masses are on X axis with higher mass at negative X; this means that the higher mass is at (X, Y)=(-s*q/(1+q), 0) and the lower mass is at (s/(1+q), 0).

Parameters :

source_x: float

X-axis coordinate of the source.

source_y: float

Y-axis coordinate of the source.

Returns :

magnification: float

Point source magnification.