galpy.df.quasiisothermaldf.pvz

quasiisothermaldf.pvz(vz, R, z, gl=True, ngl=20, nsigma=4.0, vTmax=1.5, _return_actions=False, _jr=None, _lz=None, _jz=None, _return_freqs=False, _rg=None, _kappa=None, _nu=None, _Omega=None, _sigmaR1=None)[source]

Calculate the marginalized vz probability at this location (NOT normalized by the density).

Parameters:
  • 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.

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

  • vTmax (float, optional) – Sets integration limits to [0,vTmax] for integration over vT.

Returns:

p(vz,R,z).

Return type:

float

Notes

  • 2012-12-22 - Written - Bovy (IAS)