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@ -76,48 +76,46 @@ The format is described in the :ref:`mgxs_lib_spec`.
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The data itself can be prepared via traditional paths or directly from a
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continuous-energy OpenMC calculation by use of the Python API as is shown in the
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Python API :ref:`_notebook_mgxs_part_iv` example notebook. This multi-group
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library consists of library meta-data (such as the energy group structure) and
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multiple `xsdata` objects which contains the required microscopic or macroscopic
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library consists of meta-data (such as the energy group structure) and multiple
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`xsdata` objects which contains the required microscopic or macroscopic
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multi-group data.
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At a minimum, the library must contain the absorption cross section
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(:math:`\sigma_{a,g}`) and a scattering matrix. If the problem is an eigenvalue
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problem then all fissionable materials must also contain either fission spectrum
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data (:math:`\chi{g'}`) and a fission production cross section
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(:math:`\nu\sigma_{f,g}`), or, a fission production matrix cross section
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(:math:`\nu\sigma_{f,g\arrow\g'}`). If fission or energy release from fission
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tallies are requested by the user, then the library must also contain the
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fission cross section (:math:`\sigma_{f,g}`) or the fission energy release
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cross section (:math:`\kappa\sigma_{f,g}`).
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problem then all fissionable materials must also contain either
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a fission production matrix cross section (:math:`\nu\sigma_{f,g\arrow\g'}`), or
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both the fission spectrum data (:math:`\chi{g'}`) and a fission production cross
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section (:math:`\nu\sigma_{f,g}`), or, . The library must also contain
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the fission cross section (:math:`\sigma_{f,g}`) or the fission energy release
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cross section (:math:`\kappa\sigma_{f,g}`) if the associated tallies are
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required by the model using the library.
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After a scattering collision, the outgoing particle experiences a change in both
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energy and angle. The probability of a particle resulting in a given outgoing
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energy group (`g'`) given a certain incoming energy group (`g`) is provided
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by the scattering matrix cross sections themselves. The angular information,
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however, can be expressed either via Legendre expansion of the particle's
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change-in-angle (:math:`\mu`), a tabular representation of the probability of
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a particle experiencing a given :math:`\mu`, or a histogram representation of the
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probability of a particle experiencing a given :math:`\mu`. The formats used to
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by the scattering matrix data. The angular information can be expressed either
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via Legendre expansion of the particle's change-in-angle (:math:`\mu`), a
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tabular representation of the probability distribution function of :math:`\mu`,
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or a histogram representation of the same PDF. The formats used to
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represent these are described in the :ref:`mgxs_lib_spec`.
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Unlike the continuous-energy mode, the multi-group mode does not explicitly
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track particles produced from scattering multiplication (i.e., :math:`(n,xn)`)
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reactions. These are instead accounted for by adjusting the weight of the
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particle after the collision such that the correct total weight is maintained.
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The information for how to adjust this weight is optionally provided by the
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`multiplicity` data which exists as a group-wise matrix. This data represents
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the average number of particles emitted from a scattering reaction, given a
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scattering reaction has occurred:
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The weight adjustment factor is optionally provided by the `multiplicity` data
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which is required to be provided in the form of a group-wise matrix.
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This data is provided as a group-wise matrix since the probability of producing
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multiple particles in a scattering reaction depends on both the incoming energy,
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`g`, and the sampled outgoing energy, `g'`. This data represents the average
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number of particles emitted from a scattering reaction, given a scattering
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reaction has occurred:
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.. math::
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multiplicity_{g \arrow g'} = \frac{\nu_{scatter}\sigma_{s,g \arrow g'}}{
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\sigma_{s,g \arrow g'}}
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This data is provided as a group-wise matrix since the probability of producing
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multiple particles in a scattering reaction depends on both the incoming energy,
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`g`, and the sampled outgoing energy, `g'`.
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If this scattering multiplication information is not provided in the library
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then no weight adjustment will be performed. This is equivalent to neglecting
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any additional particles produced in scattering multiplication reactions.
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@ -134,7 +132,7 @@ follows:
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\sigma_{a,g} = \sigma_{t,g} - \sum_{g'}{\nu_{scatter}\sigma_{s,g \arrow g'}}
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The above method is the same as is typically done with most deterministic methods.
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The above method is the same as is usually done with most deterministic solvers.
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Note that this method is less accurate than using the scattering multiplication
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weight adjustment since simply reducing the absorption cross section does not
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include any information about the outgoing energy of the particles produced in
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@ -219,7 +219,7 @@ Multi-Group Scattering
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In multi-group mode, a scattering collision requires that the outgoing energy
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group of the simulated particle be selected from a probability distribution,
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then the change-in-angle selected from a probability distribution according to
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the change-in-angle selected from a probability distribution according to
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the outgoing energy group, and finally the particle's weight adjusted again
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according to the outgoing energy group.
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@ -232,17 +232,19 @@ produced from the outgoing group (`g'`) data for the given incoming group (`g`):
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CDF = \sum_{g'=0}^{h}\Sigma_{s,g \arrow g'}
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If the scattering data is represented as a Legendre expansion, then the
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value of :math:`\Sigma_{s,g \arrow g'}` above is simply the 0th order. If the
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data is provided as tabular or histogram data, then the value of
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:math:`\Sigma_{s,g \arrow g'}` is the sum of all bins of data for a given `g`
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and `g'` pair.
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value of :math:`\Sigma_{s,g \arrow g'}` above is simply the 0th order for the
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given group transfer. If the data is provided as tabular or histogram data, then
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the value of :math:`\Sigma_{s,g \arrow g'}` is the sum of all bins of data for a
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given `g` and `g'` pair.
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Now that the outgoing energy is known the change-in-angle, :math:`\mu` can be
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determined. If the data is provided as a Legendre expansion, this is done by
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rejection sampling of the probability distribution represented by the Legendre
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series. For efficiency, the selected values of the PDF (:math:`f(\mu)`) are
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chosen to be between 0 and the maximum value of :math:`f(\mu)` in the domain of
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-1 to 1.
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-1 to 1. Note that this sampling scheme automatically forces negative values of
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the :math:`f(\mu)` probability distribution function to be treated as zero
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probabilities.
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If the angular data is instead provided as a tabular representation, then the
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value of :math:`\mu` is selected as described in the :ref:`angle-tabular`
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@ -254,7 +256,7 @@ the selection of the outgoing energy (since the energy group representation is
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simply a histogram representation) except the CDF is composed of the angular
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bins and not the energy groups. However, since we are interested in a specific
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value of :math:`\mu` instead of a group, then an angle selected from a uniform
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distribution within from the chosen histogram bin.
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distribution within from the chosen angular bin.
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The final step in the scattering treatment is to adjust the weight of the
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neutron to account for any production of neutrons due to :math:`(n,xn)`
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