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Refactor rejection sampling using a helper class #1354
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sethrj
added
physics
Particles, processes, and stepping algorithms
minor
Minor internal changes or fixes
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Aug 5, 2024
``` Internal error: assertion failed at: "overload.c", line 28946 in deduce_class_template_args 1 catastrophic error detected in the compilation of "/__w/celeritas/celeritas/src/celeritas/em/model/MollerBhabhaModel.cu". ```
amandalund
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Aug 5, 2024
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Thanks @sethrj! Hopefully this helps prevent any more rejection sampling bugs going forward.
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This defines a
RejectionSampler
class that can be used as a more intuitive replacement forBernoulliDistribution
during rejection sampling loops. Instead of "accepting" when the sample is within bounds (necessitating an easy-to-miss negation in thewhile
condition) we "reject" by returning true unless the sampled value is accepted.