galpy.df.quasiisothermaldf.pvRvT

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

NAME:

pvRvT

PURPOSE:

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

INPUT:

vR - radial velocity (can be Quantity)

vT - tangential 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_z(R) for integration over vz (default: 4)

OUTPUT:

p(vR,vT,R,z)

HISTORY:

2013-01-02 - Written - Bovy (IAS) 2018-01-12 - Added Gauss-Legendre integration prefactor nsigma/2 - Trick (MPA)