Source code for ixpeobssim.core.stokes
#!/usr/bin/env python
#
# Copyright (C) 2018--2020, the ixpeobssim team.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
from __future__ import print_function, division
import numpy
# pylint: disable=invalid-name
[docs]
class xModelStokesParameters:
"""Small utility class to deal with the Stokes parameters in a source model
context.
Basically we provide conversion functions from Stokes parameters to
polarizarion degree and angle and vice-versa.
Note that all the algebra, here, is coded in terms of the reduced
Stokes parameters q = Q / I and u = U / I. The reason is twofold:
* when we simulate a model we typically decouple the definition of the
spectrum from that of the polarization pattern;
* when converting polarization degree and angle to Stokes parameters
we can only calculate, by definition, q and u---not Q and U.
For completeness: be aware that all the angles are measured in radians,
and if you want to operate with degrees it is the user's responsibility
to do the conversion outside this class.
"""
[docs]
@staticmethod
def polarization_degree(q, u):
"""Convert q and u to the corresponding polarization degree.
"""
return numpy.sqrt(q**2. + u**2.)
[docs]
@staticmethod
def polarization_angle(q, u):
"""Convert q and u to the corresponding polarization angle (in radians).
"""
return 0.5 * numpy.arctan2(u, q)
[docs]
@staticmethod
def q(polarization_degree, polarization_angle):
"""Convert a polarization degree and angle (in radians) into the
corresponding q reduced Stokes parameter.
"""
return polarization_degree * numpy.cos(2. * polarization_angle)
[docs]
@staticmethod
def u(polarization_degree, polarization_angle):
"""Convert a polarization degree and angle (in radians) into the
corresponding u reduced Stokes parameter.
"""
return polarization_degree * numpy.sin(2. * polarization_angle)
[docs]
@staticmethod
def normalize(QU, I):
"""Calcualate the Stokes normalized Q parameter.
"""
qu = numpy.full(I.shape, 0.)
mask = I > 0.
qu[mask] = QU[mask] / I[mask]
return qu
[docs]
@staticmethod
def pdpa_to_xy(pol_deg, pol_ang, degrees=False):
"""Convert polarization degree and angle into the x and y components
of the polarization vector.
This is assuming that the position angle is measured starting from the
celestial North, see https://bitbucket.org/ixpesw/ixpeobssim/issues/597
for more discussion about this.
.. warning::
This nd the following function are encapsulating our convention for
measuring position angles, and should be probably better suited in a
different module?
"""
if degrees:
pol_ang = numpy.radians(pol_ang)
x = -pol_deg * numpy.sin(pol_ang)
y = pol_deg * numpy.cos(pol_ang)
return x, y
[docs]
@staticmethod
def qu_to_xy(q, u):
"""Conver the Stokes parameters into the x and y components of the
polarization vector.
"""
pd = xModelStokesParameters.polarization_degree(q, u)
pa = xModelStokesParameters.polarization_angle(q, u)
return xModelStokesParameters.pdpa_to_xy(pd, pa)
[docs]
class xDataStokesParameters:
"""Small utility class to deal with the Stokes parameters in a data analysis
context.
Warning
-------
This is work in progress, and the class methods are known to fail by
ZeroDivisionError in some circumstances.
"""
[docs]
@staticmethod
def polarization_degree(I, Q, U, dI, dQ, dU):
"""Return the polarization degree and proparate the uncertainties.
"""
p = xModelStokesParameters.polarization_degree(Q / I, U / I)
dp = (1. / I) * numpy.sqrt(
p**2. * dI**2. +
Q**2. / (I**2. * p**2.) * dQ**2. +
U**2. / (I**2. * p**2.) * dU**2.)
return p, dp
[docs]
@staticmethod
def polarization_angle(Q, U, dQ, dU):
"""Return the polarization angle and proparate the uncertainties.
"""
phi = xModelStokesParameters.polarization_angle(Q, U)
dphi = numpy.sqrt(
U**2. / (4 * (Q**2. + U**2)**2.) * dQ**2. +
Q**2. / (4 * (Q**2. + U**2)**2.) * dU**2.
)
return phi, dphi