summaryrefslogtreecommitdiff
path: root/likelihood.py
AgeCommit message (Collapse)Author
2011-08-25A new PDF evaluation method that does not require storage proportionalStan Seibert
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.
2011-08-23Fix Likelihood to use self.sim instead of the global sim, so now itStan Seibert
imports properly. Also correct a units bug in the default time range for the PDFs. We work in units of seconds, not nanoseconds!
2011-08-22Use PDF created on GPU in likelihood calculation. This is 11x faster than ↵Stan Seibert
before.
2011-08-20fix bug in Likelihood class; pdfs for each pmt were the same histogramAnthony LaTorre
2011-08-20add likelihood class to evaluate likelihoods for detector events.Anthony LaTorre
2011-05-27you can now specify number of devices and morton ordering bits to threadtest ↵Anthony LaTorre
script
2011-05-20you can now pass detector class name to view.pyAnthony LaTorre
2011-05-20faster bounding volume hierarchy constructionAnthony LaTorre
2011-05-18added test likelihoodAnthony LaTorre