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@travs travs commented Sep 16, 2018

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@travs travs requested a review from gsarma September 16, 2018 22:07
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gsarma commented Oct 10, 2018

@travs can you look at @mwatts15 comments in Slack about keeping the outputs? I think he's right that having them will be useful so people can just read the notebook without having to run it locally.

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gsarma commented Oct 10, 2018

@travs this looks great! One important change, however. The function you wrote display_parameter_evolution keeps track of the parameters in a single run and generates histograms from a given run. What we want (the plot I pinned in Slack) is to run the simulation many times and only retain the final fit parameters. Then we generate a histogram of the final values of all of the different runs. This way we can see how sensitive the fitter is to initial conditions.

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