add pec redshift

This commit is contained in:
rstiskalek 2022-11-20 14:11:32 +00:00
parent 3352b06c1c
commit 6a9db75549

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@ -17,7 +17,8 @@ Simulation box unit transformations.
"""
import numpy
from astropy.cosmology import (LambdaCDM, z_at_value)
from scipy.interpolate import interp1d
from astropy.cosmology import LambdaCDM
from astropy import (constants, units)
from ..io import read_info
@ -213,24 +214,50 @@ class BoxUnits:
vel : float
Velocity in :math:`\mathrm{m} / \mathrm{s}^2`
"""
return vel * (1e-2 * self._unit_l / self._unit_t / self.aexp)
return vel * (1e-2 * self._unit_l / self._unit_t / self._aexp)
def box2cosmoredshift(self, length):
def box2cosmoredshift(self, dist):
r"""
Convert the box comoving distance to cosmological redshift.
Parameters
----------
length : float
Length in box units.
dist : float
Dist in box units.
Returns
-------
cosmo_redshift : foat
The cosmological redshift.
"""
dist = self.box2mpc(length) * units.Mpc
return z_at_value(self._cosmo.comoving_distance, dist)
x = numpy.linspace(0., 1., 5001)
y = self.cosmo.comoving_distance(x)
return interp1d(y, x)(self.box2mpc(dist))
def box2pecredshift(self, vx, vy, vz, px, py, pz, p0x=0, p0y=0, p0z=0):
"""
TODO: docs
"""
# Peculiar velocity along the radial distance
r = numpy.vstack([px - p0x, py - p0y, pz - p0z]).T
norm = numpy.sum(r**2, axis=1)**0.5
v = numpy.vstack([vx, vy, vz]).T
vpec = numpy.sum(r * v, axis=1) / norm
# Ratio between the peculiar velocity and speed of light
x = self.box2vel(vpec) / constants.c.value
# Doppler shift
return numpy.sqrt((1 + x) / (1 - x)) - 1
def box2obsredshift(self, vx, vy, vz, px, py, pz, p0x=0, p0y=0, p0z=0):
"""
TODO: docs
"""
r = numpy.vstack([px - p0x, py - p0y, pz - p0z]).T
zcosmo = self.box2cosmoredshift(numpy.sum(r**2, axis=1)**0.5)
zpec = self.box2pecredshift(vx, vy, vz, px, py, pz, p0x, p0y, p0z)
return (1 + zpec) * (1 + zcosmo) - 1
def solarmass2box(self, mass):
r"""
@ -361,5 +388,6 @@ def convert_from_boxunits(data, names, boxunits):
# Center at the observer
if name in ["peak_x", "peak_y", "peak_z"]:
data[name] -= transforms["length"](0.5)
data[name] -= (0.5)
return data