galpy.df.quasiisothermaldf.pvRvz¶
- quasiisothermaldf.pvRvz(vR, vz, R, z, gl=True, ngl=20, vTmax=1.5)[source]¶
Calculate the marginalized (vR,vz) probability at this location (NOT normalized by the density).
- Parameters:
vR (float or Quantity) – Radial velocity.
vz (float or Quantity) – Vertical 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.
vTmax (float, optional) – Sets integration limits to [0,vTmax] for integration over vT.
- Returns:
p(vR,vz,R,z).
- Return type:
float or Quantity
Notes
2013-01-02 - Written - Bovy (IAS)
2018-01-12 - Added Gauss-Legendre integration prefactor vTmax/2 - Trick (MPA)