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- Timestamp:
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Jun 12, 2017, 6:47:46 PM (7 years ago)
- Author:
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Patrick Stowell
- Comment:
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v7
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v8
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| 296 | 296 | [[Image(screenshot_5.png, 600px)]] |
| 297 | 297 | |
| 298 | | - ** MiniBooNE_CC1pip_XSec_1DTpi_nu_MC ** : This is the MC histogram for our model binned in exactly the same binning as the data. This histogram is used to calculate a likelihood by directly comparing to the data. By default the title of the MC histogram is also set to the value of the likelihood for easy reference. In the plot below the chi2 was calculated to be : 25.749 |
| | 298 | - ** MiniBooNE_CC1pip_XSec_1DTpi_nu_MC ** : This is the MC histogram for our model binned in exactly the same binning as the data. Error bars attached to the MC histogram are defined as the statistical error in each bin given your MC event sample. This histogram is also used to calculate a likelihood by directly comparing to the data. By default the title of the MC histogram is also set to the value of the likelihood for easy reference. In the plot below the chi2 was calculated to be : 25.749. |
| 299 | 299 | |
| 300 | 300 | [[Image(screenshot_2.png, 600px)]] |
| | 301 | |
| | 302 | We can also directly compare the MC and data histograms, by drawing the data with the option 'E1' then drawing the MC histogram with the option "HIST SAME". |
| | 303 | |
| | 304 | [[Image(screenshot_1.png, 600px)]] |
| 301 | 305 | |
| 302 | 306 | == Providing reweight parameters == |
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