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)