galpy.df.quasiisothermaldf.pvRvT

quasiisothermaldf.pvRvT(vR, vT, R, z, gl=True, ngl=20, nsigma=4.0)

Calculate the marginalized (vR,vT) probability at this location (NOT normalized by the density).

Parameters:

• vR (float or Quantity) – Radial velocity.

• vT (float or Quantity) – Azimuthal velocity.

• R (float or Quantity) – Radius.

• z (float or Quantity) – Height.

• gl (bool, optional) – If True, use Gauss-Legendre integration.

• ngl (int, optional) – If gl, use ngl-th order Gauss-Legendre integration for each dimension.

• nsigma (float, optional) – Number of sigma to integrate the velocities over.

Returns:

p(vR,vT,R,z).

Return type:

float

Notes

• 2012-12-22 - Written - Bovy (IAS)

• 2018-01-12 - Added Gauss-Legendre integration prefactor nsigma/2 - Trick (MPA)