1. 22 January 2009 David1 Look at dead material and fake MET in Jx samples mc08 10 TeV simulations, release 14.2.20.3 J0 to J6 are tag s479_r586, ‘ideal geometry’ samples The available J7/J8 samples are s479_r563, hence not the ideal geometry they’re supposed to be, but they suffer from using offline conditions for misaligned ID, by mistake –Are being redone right now, first look at jet resolution in J7 and J8 shows large tails and unhealthy distributions, hence take these two samples in the following with a grain of salt Looked at the dead material variables in the AOD, the ones labeled ‘All’, which is Crack1 + Crack2 + Cryo, and ‘Crack1’, which is 1.1 < fabs(eta) < 1.7 –‘Crack2’ would be 2.9 < fabs(eta) < 3.5, ‘Cryo’ is the barrel cryostat

2. 22 January 2009 David2 J0 Top left: no correlation between dead material ‘all’ and the true eta of the lead jet Top right: just 1 event out of many tens of thousands has a Delta MET exceeding 5 sigma for the given event Sigma ET Bottom left: nice positive correlation between dead material ‘all’ and the error on the missing ET Bottom right: somewhat weaker, but still positive correlation between the crack1 dead material and the error on MET Green bullets are always profile plots of the colored 2d histogram!

3. 22 January 2009 David3 J1 Top left: no correlation between dead material ‘all’ and the true eta of the lead jet Top right: just 5 events out of many tens of thousands has a Delta MET exceeding 5 sigma Bottom left: nice positive correlation between dead material ‘all’ and the error on the missing ET Bottom right: somewhat weaker, but still positive correlation between the crack1 dead material and the error on MET

4. 22 January 2009 David4 J2 Top left: correlation starts to appear, profile plot peaks at eta 1.5 and 3.2 Top right: still not many events with large fake MET Bottom left: nice positive correlation between dead material ‘all’ and the error on the missing ET Bottom right: somewhat weaker, but still positive correlation between the crack1 dead material and the error on MET

5. 22 January 2009 David5 J3 Top left: profile plot shows clear correlation between dead material and eta lead jet – good Top right: we start to see the detector gaps in the eta of the poorer measured of the 2 lead jets when fake MET is large Bottom left: nice positive correlation Bottom right: somewhat weaker, but still positive correlation

6. 22 January 2009 David6 J4 Top left: eta 1.5 and 3.2 are clearly seen in the profile plot Top right: sharp peak at eta 3.2 for events with large fake MET, 1.5 also suggested Bottom left: nice positive correlation Bottom right: somewhat weaker, but still positive correlation

7. 22 January 2009 David7 J5 Top left: jets start to get more central, only the first crack really appears Top right: prominent peaks at eta 0 and 1.5 show how jets in this area cause large fake MET Bottom left: nice positive correlation Bottom right: nice positive correlation

8. 22 January 2009 David8 J6 Top left: again jets are rather central, crack 1 nicely visible Top right: jets hitting eta 0 and 1.5 cause large fake MET – as seen before, eta=0 has a problem (in the jet reco?) Bottom left: nice positive correlation Bottom right: nice positive correlation

9. 22 January 2009 David9 J7 Top left: jets are more and more central of course, crack1 is still there, less pronounced Top right: large fake MET events show still that eta=0 is particularly bad, although it’s less clear here. Note, J7 and J8 have this misaligned ID problem Bottom left: correlation starts to disappear, these events are in general very busy Bottom right: also here, less and less correlation

10. 22 January 2009 David10 J8 Top left: not much left to say given the really restricted eta range Top right: No special detector region visible in this plot Bottom left: no more correlation of dead material depot and Delta MET Bottom right: same here, no more correlation

11. 22 January 2009 David11 Conclusions about dead material and poor MET The correlation between the dead material depot and the error on MET shows nicely that at least for the 2 cracks the dead material hits are correctly collected The peak at 0 in the distribution of poorly measured lead jets, when fake MET is large, is still mysterious –There seemed to be some theory about it, probably need to check with Ana Next we should probably investigate how to get rid of such events without truth variables, see also next slide

12. 22 January 2009 David12 Next to do Verify that correlation between crack1 / crack2 dead material and DeltaMET increases further if poorly measured lead jet hits crack1 or crack2, i.e. if true eta is around eta = 1.5 or eta = 3.2 Plot reconstructed MET, true MET, reconstructed MET corrected for ET in dead material in the crack for lead jets hitting the cracks –If all is consistent the true and corrected reconstructed MET should be almost identical –One could also see above which MET this fake MET from lost energy doesn’t play a role any more Compare true MET to reco MET without jets near eta=0 or near cracks, and to full reco MET –This would tell us what kind of fake MET we are to expect from dead material, and what the true irreducible MET level is in such events which we cannot get rid of –Scale with cross section to get a sense of the lumi, too Investigate eta=0 defficiency –Talking to Ana, the theory is that the LAr gap of a few millimetres at exactly eta=0 is the cause –Could be longitudinal leakage due to missing 1.5 lambda from LAr –Could be big variation of Tile sampling fraction due to shower starting ‘too’ late Seen in testbeam, but only if no LAr in front –Plan to look at fraction of LAr / tile energy deposits for such events to verify

13. 22 January 2009 David13 J0 Now the next plots show always on the left the absolute value of Delta METx, fabs(rec.METx - trueMETx) versus the true eta of the lead jet; overlaid is a profile plot of the same distribution On the right is always plotted the Delta METx with sign versus the true lead jet eta, again with a profile overlaid; the error bars ar the real spread in the bin rather than the spread/sqrt(N), which is the default plotting option of root Not much to see here…

14. 22 January 2009 David14 J1 We start to see a variation of the bin spread beyond eta 3.2, where there is a dip in the mean DeltaMET on the left, which comes from a reduced spread in DeltaMET, as seen on the right-hand side

15. 22 January 2009 David15 J2 Same as before, there is a dip in DeltaMET, around crack2 the error distribution tends to be narrower, hence better (!) than everywhere else This is a small effect though

16. 22 January 2009 David16 J3 Now the detector structures around crack2 start to show up as expected The mean error on the left peaks at the crack position, and this is due to increased spread, in other words worsened resolution, as seen on the right Note the absence of any bias, as expected, as we’re looking at MET in the lab frame, not projected onto the jet axis

17. 22 January 2009 David17 J4 Also here, very pronounced peak around 3.2 Crack1 starts to show up, too Maybe also a glitch around eta 0.7

18. 22 January 2009 David18 J5 Again, clearly worse resolution in the crack regions Note that around eta 0, where we have seen a peak when cutting on really bad MET, there isn’t so much to see; maybe a slight degradation, not clear

19. 22 January 2009 David19 J6 Jets are now realle central, peaks are visisble at 0.7 and 1.5 Again nicely apparent from the plot on the right what this is, the spread increase in these areas

20. 22 January 2009 David20 J7 Low stats now in the crack1 region, still the same picture

21. 22 January 2009 David21 J8 All jets are central, we hardly reach crack1

22. 22 January 2009 David22 Conclusions about DeltaMET vs. jet eta plots Detector structures are nicely visible in these plots Interesting to see how the MET immediately broadens if the lead jet hits the cracks; just as expected Again, time to look at how we can get rid of such events