Expanded description of free gas thermal scattering in documentation.

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Paul Romano 2012-07-23 13:34:23 -04:00
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@ -4,14 +4,14 @@
Physics
=======
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Free Gas Scattering Kinematics
------------------------------
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Effect of Thermal Motion on Cross-Sections
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When a neutron scatters off of a nucleus, many times it is assumed that the
target nucleus is at rest. However, if the material is at a temperature greater
than 0 K, it will have motion associated with the thermal vibration. Thus, the
velocity of the neutrno relative to the target nucleus is in general not the
velocity of the neutron relative to the target nucleus is in general not the
same as the velocity of the neutron entering the collision.
The affect of the thermal motion on the interaction probability can be written
@ -23,8 +23,49 @@ as
v_n \sigma (v_n, T) = \int_0^\infty d\mathbf{v}_T \sigma(v_r, 0)
\mathbf{v}_r p(\mathbf{v}_T)
One assumption we can make here is that the velocity distribution for the
thermal motion is isotropic, i.e.
where :math:`v_n` is the magnitude of the velocity of the neutron,
:math:`\mathbf{v}_T` is the velocity of the target nucleus, :math:`\mathbf{v}_r`
is the relative velocity, and :math:`T` is the temperature of the target
material. In a Monte Carlo code, one must account for the effect of the thermal
motion on both the integrated cross-section as well as secondary angle and
energy distributions. For integrated cross-sections, it is possible to calculate
thermally-averaged cross-sections by applying a kernel Doppler broadening
algorithm to data at 0 K (or some temperature lower than the desired
temperature). The most ubiquitous algorithm for this purpose is the [SIGMA1]_
method developed by Red Cullen and subsequently refined by others. This method
is used in the NJOY_ and PREPRO_ data processing codes.
The effect of thermal motion on secondary angle and energy distributions can be
accounted for on-the-fly in a Monte Carlo simulation. We must first qualify
where it is actually used however. All threshold reactions are treated as being
independent of temperature, and therefore they are not Doppler broadened in NJOY
and no special procedure is used to adjust the secondary angle and energy
distributions. The only non-threhold reactions with secondary neutrons are
elastic scattering and fission. For fission, it is assumed that neutrons are
emitted isotropically (this is not strictly true, but is nevertheless a good
approximation). This leaves only elastic scattering that needs a special thermal
treatment for secondary distributions.
Fortunately, it is possible to directly sample the velocity of the target
nuclide and then use it directly in the kinematic calculations. However, this
calculation is a bit more nuanced than it might seem at first glance. One might
be tempted to simply sample a Maxwellian distribution for the velocity of the
target nuclide. Careful inspection of equation :eq:`freegas1` however tells us
that target velocities that produce relative velocities which correspond to high
cross sections will have a greater contribution to the effection reaction
rate. This is most important when the velocity of the incoming neutron is close
to a resonance. For example, if the neutron's velocity corresponds to a trough
in a resonance elastic scattering cross-section, a very small target velocity
can cause the relative velocity to correpond to the peak of the resonance, thus
making a disproportionate contribution to the reaction rate. The conclusion is
that if we are to sample a target velocity in the Monte Carlo code, it must be
done in such a way that preserves the thermally-averaged reaction rate as per
equation :eq:`freegas`.
The method by which most Monte Carlo codes sample the target velocity for use in
elastic scattering kinematics is outlined in detail by [Gelbard]_. The
derivation here largely follows that of Gelbard. The first assumption we can
make is that the velocity distribution for the thermal motion is isotropic, i.e.
.. math::
:label: freegas2
@ -37,10 +78,11 @@ With this assumption, we can now rewrite equation :eq:`freegas1` as
:label: freegas3
v_n \sigma (v_n, T) = \frac{1}{2} \int_{-1}^1 d\mu \int\limits_{v_r > 0}
v_r \sigma (v_r, 0) p(v_T) dv_T
dv_T v_r \sigma (v_r, 0) p(v_T)
To change the outer variable of integration from :math:`\mu` to :math:`v_r`, we
can establish a relation between these variables based on the law of cosines.
after integrating over :math:`d\phi`. To change the outer variable of
integration from :math:`\mu` to :math:`v_r`, we can establish a relation between
these variables based on the law of cosines.
.. math::
:label: lawcosine
@ -78,12 +120,13 @@ We can divide this probability distribution into two parts as such:
:label: freegas6
P(v_T, \mu) &= f_1(v_T, \mu) f_2(v_T) \\
f_1(v_T, \mu) &= \frac{| v_n - v_T |}{\hat{f_1} (v_n + v_T)} \\
f_1(v_T, \mu) &= \frac{| v_n - v_T |}{C (v_n + v_T)} \\
f_2(v_T) &= (v_n + v_T) P(v_T)
In general, any probability distribution function of the form :math:`p(x) =
f_1(x) f_2(x)` with :math:`f_1(x)` bounded can be sampled by sampling
:math:`x_s` from the distribution
where :math:`C = \int dv_T \sigma v_r P(v_T)`. In general, any probability
distribution function of the form :math:`p(x) = f_1(x) f_2(x)` with
:math:`f_1(x)` bounded can be sampled by sampling :math:`x_s` from the
distribution
.. math:: \frac{f_2(x)}{\int f_2(x) dx}
@ -93,3 +136,20 @@ and accepting it with probability
It is normally assumed that the velocity distribution of the target nucleus
assumes a Maxwellian distribution in velocity.
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S(:math:`\alpha`, :math:`\beta`) Tables
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Unresolved Resonance Region Probability Tables
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.. _NJOY: http://t2.lanl.gov/codes.shtml
.. _PREPRO: http://www-nds.iaea.org/ndspub/endf/prepro/
.. [SIGMA1] Dermett E. Cullen and Charles R. Weisbin, "Exact Doppler Broadening
of Tabulated Cross Sections," *Nucl. Sci. Eng.*, **60**, pp. 199-229 (1976).
.. [Gelbard] Ely M. Gelbard, "Epithermal Scattering in VIM," FRA-TM-123, Argonne
National Laboratory (1979).