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the GPU, and run the DAQ multiple times on the same photons in a
likelihood calculation.
Propagating the same photons in a warp speeds up propagation by a
factor of 3 (and we could do this even better if we wanted), and this
improves the statistics in a likelihood evaluation quite a bit.
Running the DAQ multiple times is also an inexpensive way to improve
the quality of the PDF estimates.
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independent classes.
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to [number of bins] * [number of PMTs]. Instead we accumulate information
as the Monte Carlo runs in order to evaluate the PDFs only at the points
required for the likelihood calculation.
This new interface has been propagated all the way up from the GPU class
through the Simulation class to the Likelihood class. We have preserved
the full binned histogram implementation in case we need it in the future.
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imports properly. Also correct a units bug in the default time range
for the PDFs. We work in units of seconds, not nanoseconds!
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before.
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script
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