1. Moriond 2001Jets at the TeVatron1 QCD: Approaching True Precision or, Latest Jet Results from the TeVatron Experimental Details SubJets and Event Quantities Cross Sections Presented by John Krane Iowa State University

2. Moriond 2001Jets at the TeVatron2 Changing Paradigms in QCD Inclusion of error estimates in the PDFs Progress toward NNLO predictions More rigorous treatment of experimental errors More consistent E T calculations between experiments covariance matrices jet algorithms workshop calculation of virtual corrections hope for better underlying event

3. Moriond 2001Jets at the TeVatron3 Jet Definition Cone Definition R =0.7 in  merge/split K T Definition cells/clusters are combined if their relative k T 2 is “small” (D=1.0 or 0.5 -- scaling parameter) For subjets, also define “large” (y cut, =10 -3 ) Iteration vs ratcheting 0.5 vs 0.75 Centroid found with 4-vector addition vs Snowmass addition D  uses Ellis and Soper’s definition

4. Moriond 2001Jets at the TeVatron4 Central Tracking EM Calorimeter Hadronic Calorimeter Muon A-Layer Magnet Muon B&C e  jet  noise Jet Cuts Typical cuts on EM fraction, hotcells, missing E T, vertex position, etc. > 97% efficient > 99% pure

5. Moriond 2001Jets at the TeVatron5 Jet Energy Corrections Response functions Noise and underlying event “Showering” Resolutions Estimated with dijet balancing or simulation the symmetric part d 2  dE T d  ETET d 2  dE T d  ETET no distinction between jets of different kinds

6. Moriond 2001Jets at the TeVatron6 Jet and Event Quantities Subjet Multiplicity Underlying event structure Low E T Multijet studies New !

7. Moriond 2001Jets at the TeVatron7 1 2 3 4 0.5 0.4 0.3 0.2 0.1 Subjet Multiplicity Linear Combination: = f g M g + (1-f g ) M Q Assume M g, M Q independent of √s Measure M at two √s energies and extract the g and Q components Largest uncertainty comes from the gluon fractions in the PDFs Mean Jet Multiplicity Quark Jet FractionGluon Jet Fraction Subjet Multiplicity M D0 Preliminary Coming soon as a PRD no attempt to develop a likelihood function HEWIG prediction =1.86 ± 0.08(stat) Using the k T algorithm

8. Moriond 2001Jets at the TeVatron8 Underlying event structure Counting charged particles in azimuthal sectors Improve modeling of underlying event

9. Moriond 2001Jets at the TeVatron9 Low E T Multijet events At high-E T, QCD does quite well. But try counting jets at low-E T …compare to Pythia Each jet’s E T >20 GeV. For 2 jets or more, normalization is off, so correct to >40 GeV spectrum.

10. Moriond 2001Jets at the TeVatron10 Low E T Multijet events Strong p T ordering in DGLAP suppresses “spectator jets” BFKL has diffusion in log(p T ) Looking also at Jetrad and Herwig

11. Moriond 2001Jets at the TeVatron11 Cross Sections R32 630/1800 ratio of jet cross sections Forward cross sections Two PRDs K T central inclusive Published! Submitted New !  2 analysis

12. Moriond 2001Jets at the TeVatron12 Inclusive R32 A study of soft jet emission rate Ratios exploit error correlations We observe lack of PDF sensitivity Investigate  R scale sensitivity with Jetrad

13. Moriond 2001Jets at the TeVatron13 Inclusive R32 several formulae for  R  R not always same for jets in the same event (yet agreement not improved) single-scales seem better than mixed-scales, 0.3*H T is most robust (As minimum E T threshold climbs, the “hardness” of the event is less well- represented by E T max ?) PRL 86, 1955 (2001)

14. Moriond 2001Jets at the TeVatron14 Inclusive Ratio Published yesterday in PRL  2 probabilities fall between 30% and 60% D  has tried a “normalization-only” test, which yields generally poor agreement (<1%), except for 2*E T (7%) and 0.25*E T (23%). PDF Variations  f  R Variations

15. Moriond 2001Jets at the TeVatron15 A few words on  2 10 MC simulations of systematic errors 100 trials The calculations work great, root-diagonal elements alone not sufficient for plots

16. Moriond 2001Jets at the TeVatron16  d 2  dE T d  (fb/GeV) E T (GeV) Rapidity-dependent Inclusive D  ’s most complete cross section measurement Uncertainty in theory is larger than uncertainty is data! PRL 86, 1707 (2001)

17. Moriond 2001Jets at the TeVatron17 Jets PRD #1: CDF’s Run 1b inclusive jet Has discussion of  2 technique. Includes comparisons to Run 1a data D  ’s run 1b data

18. Moriond 2001Jets at the TeVatron18 Jets PRD #2: D  ’s Run 1b jet results Tour de Force: 1800 central inclusive, dijet mass, dijet angular distribution, 630/1800 inclusive ratio

19. Moriond 2001Jets at the TeVatron19 K T Inclusive Jet Cross Section -0.5 <  < 0.5 D = 1.0 Predictions IR and UV safe Merging behavior well- defined for both exp. and theory D  Preliminary

20. Moriond 2001Jets at the TeVatron20 K T Comparison Normalization differs by 20% or more p T dependence D  has an error matrix expect  2 numbers soon “No significant deviations of predictions from data” D  Preliminary

21. Moriond 2001Jets at the TeVatron21 Summary TeVatron stopped running in 1996 but several results are still in the queue  Jet substructure  Event structure  Cross sections Growing sophistication in results  Greater consistency between experiments  Error matrices  Better corrections