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- Timestamp:
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Jan 5, 2017, 1:52:44 PM (8 years ago)
- Author:
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Clarence Wret
- Comment:
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v3
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v4
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5 | 5 | This is an informal step-by-step guide on how to add samples into the NUISANCE framework. |
6 | 6 | |
7 | | Using: NUISANCE v1r0, NEUT 5.3.6 |
| 7 | Versions: NUISANCE v1r0, NEUT 5.3.6 |
8 | 8 | |
9 | 9 | For this tutorial I'll be adding the T2K CC1pi+ H2O data. The data comes from [http://t2k-experiment.org/results/nd280data-numu-cc1pi-xs-on-h2o-2015/ the T2K site] and [https://arxiv.org/abs/1605.07964 arxiv]. The data is supplied both in a ROOT file and a number of .csv files; I'll be using the ROOT file here. |
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27 | 27 | The T2K CC1pi+ H2O data release contains various distributions in FIG 4. In this tutorial I'll look at adding one kinematic distribution and one derived distribution: p_mu and E^{rec}_nu. |
28 | 28 | |
29 | | Generally speaking, we try to add all available distributions in a publication. However some distributions will have detector effects "folded" into them (i.e. they will be raw detector-level data). We can only use these if there is some method (e.g. a smearing matrix) which bring detector-level variables (e.g. p_mu seen in the detector) to truth-level variable (e.g. p_mu seen after correcting for the detector effects). |
| 29 | Generally speaking, we try to add all available distributions in a publication. Some distributions will have detector effects "folded" into them (i.e. they will be raw detector-level data). We can only use these if there is some method which bring detector-level variables (e.g. p_mu seen in the detector) to truth-level variable (e.g. p_mu seen after correcting for the detector effects). |