galpy.df.quasiisothermaldf.pvT

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

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

Parameters:

  • vT (float or Quantity) – Azimuthal 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.

Returns:

p(vT,R,z).

Return type:

float

Notes

  • 2012-12-22 - Written - Bovy (IAS@MPIA)

  • 2018-01-12 - Added Gauss-Legendre integration prefactor nsigma^2/4 - Trick (MPA)