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Test impact of outliers in lightcurves and remove them if necessary #2

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EiffL opened this issue Apr 17, 2018 · 0 comments
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@EiffL
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EiffL commented Apr 17, 2018

@hainow As you may see if you plot a few lightcurves, there are some outliers that remain despite my best efforts to correctly match objects between runs. So there are two questions here, 1) do they matter ? i.e. do they impact the classification accuracy 2) Can we clean them out ?

If you have some time to look into this, I am particularly curious about the first question. Meanwhile I can try to find out why these outliers are there and remove them.

@EiffL EiffL created this issue from a note in Photometric Quasar Classification (To do) Apr 17, 2018
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