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Angular aberration from observer motion
Motivated by this success, we try the method of characteristics also
on the angular aberration corrections. In this case, the characteristic
is described by
. We write the prefactor of
the angular aberration correction in Eq. (21)
as a function of the quantities
and
defined in Eq.
(
) to obtain with
,
As before, we try to eliminate the partial derivative with respect
to the angle cosine with a time derivative along the characteristic
in the angle part of the momentum phase space Liebendoerfer_00.
For the quantity
, we find the relation
With this, we transform from the ``Eulerian'' variable
to the ``Lagrangian'' variable
.
After a multiplication with
, the angular aberration
correction
becomes:
The particles initially residing in the angular interval
are shifted by angular aberration along characteristics with constant
:
![\begin{displaymath}
\left( \frac{\partial }{\partial t}\left[ \left( 1-3\mu ^{2}\right) F\Delta \mu \right] \right) _{\zeta ^{-1/2}\mu /R_{a}}=0.
\end{displaymath}](img526.png) |
(79) |
We have to keep in mind that any correction to the particle propagation
direction also affects the energy conservation in the frame of a distant
observer. Therefore, it is desirable to construct a numerical implementation
of angular aberration that prescribes the changes in the specific
luminosity
to machine
precision. Hence, we evaluate the change of the specific luminosity,
, along the
characteristic in analogy to Eq. (
),
 |
(80) |
We identify the bin size
with our Gaussian quadrature weights. In the finite difference representation,
Eq. (
) leads to the condition for
number conservation
and Eq. (
) to a prescription for
the numerical evolution of the specific luminosity
The direction of the differencing can be chosen by
.
The change in the neutrino distribution function from angular aberration
is then:
with
Combined into one update, this leads to the following finite difference
representation of the angular aberration term in the Boltzmann Eq.
(15):
We apply the aberration corrections with
for
and
for
. This is not upwind differencing
and, therefore, runs the risk of producing negative particle distribution
functions. However, there are two good reasons to accept this shortcoming:
(i) The angular aberration correction is generally small, with the
exception of aberration in the vicinity of strong shocks with large
velocity gradients. (ii) The chosen direction of
guarantees
that no particles are shifted off the grid. This is a prerequisite
for number and energy conservation. If we calculate the contribution
of
to the energy evolution,
,
along the lines of Eq. (
), this choice
of
causes the perfect vanishing of boundary terms in the
discrete ``integration by parts'' with respect to the angle cosine.
We obtain
 |
(82) |
The second and third terms in the parenthesis cancel exactly with
the yet unmatched terms from
in Eq. (
).
Thus, also the cancellations
and
are guaranteed in Eq. (
). However, in
failed supernova simulations, the shock recedes at late time to very
small radii and becomes very strong because of high infall velocities.
We have encountered numerical fluctuations in the neutrino distribution
function at the shock position at this late time that are due to this
fixed choice of differencing in the angular advection in the aberration
terms. They disturb the progress of the simulation with large time
steps. In future long term simulations, we will use strict upwind
differencing also in the angular aberration terms and allow a deviation
from perfect energy conservation in these terms (we still conserve
particle number). In section
,
we demonstrate that the expected energy violations from angular aberration
are unlikely to dominate the violations of energy conservation by
the adaptive grid or a mismatch in
.
Next: Frequency shift in the
Up: Finite differencing of the
Previous: Frequency shift from observer
ApJS preprint doi:10.1086/380191