2019:tools:searchmeas:2dhma
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2019:tools:searchmeas:2dhma [2019/07/03 09:24] jonathan.butterworth |
2019:tools:searchmeas:2dhma [2019/07/03 12:06] jonathan.butterworth |
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| Checking through the other $WW$ analyses currently being used by Contur, several have jet vetoes and background subtraction, but all have the jet veto applied in the fiducial phase space and in the Rivet routine; in addition the background subtractions are much smaller and generally use the SM predictions rather than data. This presumably explains their lower //apparent// sensitivity, but means the sensitivity that remains is reliable. | Checking through the other $WW$ analyses currently being used by Contur, several have jet vetoes and background subtraction, but all have the jet veto applied in the fiducial phase space and in the Rivet routine; in addition the background subtractions are much smaller and generally use the SM predictions rather than data. This presumably explains their lower //apparent// sensitivity, but means the sensitivity that remains is reliable. | ||
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| + | The ATLAS $H \rightarrow WW$ [[https://arxiv.org/abs/1604.02997|1604.02997]] is not used in Contur to date, but is actually a bit more useable than the CMS paper, since the jets are included in the fiducial definition. However, there is still a large data-driven background | ||
| + | subtraction, based upon a b-tagged control region. | ||
| This is the gzipped directory with the sensitivity plots for the various pools: {{ :2019:tools:searchmeas:conturplot.tar.gz | gzipped tar file}} | This is the gzipped directory with the sensitivity plots for the various pools: {{ :2019:tools:searchmeas:conturplot.tar.gz | gzipped tar file}} | ||
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| + | We could think of implementing a b-jet veto as an option in the rivet routine, but this would only be approximate, since the analysis cut is done at the detector level with a combination of a b-tagging discriminant (above 30 GeV $p_T$) and a soft muon requirement (with some lower efficiency between 15 and 30 GeV) and we don't have the smearing or efficiency functions. The net result would presumably be to reduce the sensitivity toward the level of the other | ||
| + | $WW$ routines we have, and the large data-driven background subtraction would remain a concern. | ||
| ==Next steps== | ==Next steps== | ||
2019/tools/searchmeas/2dhma.txt ยท Last modified: 2019/07/08 13:51 by jonathan.butterworth
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