Difference: BottomUpUncerts (6 vs. 7)

Revision 72018-04-19 - BenjaminNachman

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  This is something we have worried about in the past. There is out-of-cluster energy which is different if you are in a isolated and non-isolated environment. I am not sure how to go about testing this at the moment so we might need to ignore this for now. (If the scale uncertainties are large then this covers this effect).
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For your observable X, make a TProfile plot of vs Sum{E*Iso}/Sum{E} (sums are over constituent clusters) for the measured jet in data and MC. If large trends in the data/MC agreement are seen worry.
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For your observable X, make a TProfile plot of vs Sum{E*ISOLATION}/Sum{E} (sums are over constituent clusters) for the measured jet in data and MC. If large trends in the data/MC agreement are seen worry.
  This could be measured in 3-track tau events, and K-short resonances where the mass can be plotted as a function of isolation.

Cluster Splitting/Merging

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This is clearly something that could be important and we have no measurements of this so we need to make sure that we aren't sensitive to these effects. You should note that sigma_{eta/phi} is defined by Eq.20 of https://arxiv.org/pdf/1603.02934.pdf and is roughly the radius of a given cluster. One should check three things:
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This is clearly something that could be important and we have no measurements of this so we need to make sure that we aren't sensitive to these effects. First, define sigma to be the effective cluster size (Eq. 20 here):

sigma = atan(sqrt(SECOND_R)/CENTER_MAG)*cosh(eta)

Then, one should check three things:

 
  1. test splitting between HAD and EM; for any pair of clusters where dR(i,j)<sigma_{eta/phi}^{i}+sigma_{eta/phi}^{j} && ((E_EMB3^i =0 && E_EMB3^j =0) || (E_Tile0^i =0 && E_Tile0^j =0) || (E_EME3^i =0 && E_EME3^j =0) || (E_HEC0^i =0 && E_HEC0^j =0)) - this condition basically asks if the clusters are overlapping and they both have energy in the first HAD layer or last EM layer (so are touching each other). These should be added together to form a single cluster with eta=(eta_i*E_i+eta_j*E_j)/(E_i+E_j), phi=(phi_i*E_i+phi_j*E_j)/(E_i+E_j), E = E_i+E_j TODO BPN> check if variables are present
 
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