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]

NAME:

pvz

PURPOSE:

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

INPUT:

vz - vertical velocity (can be Quantity)

R - radius (can be Quantity)

z - height (can be Quantity)

gl - use Gauss-Legendre integration (True, currently the only option)

ngl - order of Gauss-Legendre integration

nsigma - sets integration limits to [-1,+1]*nsigma*sigma_R(R) for integration over vR (default: 4)

vTmax - sets integration limits to [0,vTmax] for integration over vT (default: 1.5)

OUTPUT:

p(vz,R,z)

HISTORY:

2012-12-22 - Written - Bovy (IAS)