galpy.df.quasiisothermaldf.sigmaz2¶
- quasiisothermaldf.sigmaz2(R, z, nsigma=None, mc=False, nmc=10000, gl=True, ngl=10, **kwargs)[source]¶
Calculate sigma_z^2 by marginalizing over velocity.
- Parameters:
R (float or Quantity) – Radius at which to calculate this.
z (float or Quantity) – Height at which to calculate this.
nsigma (int, optional) – Number of sigma to integrate the velocities over.
mc (bool, optional) – If True, calculate using Monte Carlo integration.
nmc (int, optional) – If mc, use nmc samples.
gl (bool, optional) – If True, calculate using Gauss-Legendre integration.
ngl (int, optional) – If gl, use ngl-th order Gauss-Legendre integration for each dimension.
**kwargs (dict, optional) – scipy.integrate.tplquad kwargs epsabs and epsrel.
- Returns:
sigma_z^2.
- Return type:
float
Notes
2012-07-30 - Written - Bovy (IAS@MPIA)