1. Sarah Eno1 MD Contribution to Simulation and W Width/Mass Sarah Eno 30 Aug 2005 DOE Review

2. Sarah Eno2 Simulation MD has made major contributions to simulation code for Dzero. Sarah Eno (professor) Shuichi Kunori (Research Scientist) Greg Graham (former postdoc, now FNAL computing division) Marco Verzzochi (former postdoc, now Wilson Fellow) Junjie Zhu (former student, now postdoc at Stony Brook) Lei Wang (current student) Matt Wetstein (current student) Christie Chew (former undergrad)

3. Sarah Eno3 Major Projects Develop and main responsibility for fast simulation code (Sarah, Greg, Junjie, Marco) Developing and debugging “d0raw2sim” (Sarah, Christie) initial C++ “wrapper” for GEANT-3 based simulation and general GEANT expert (Shuichi) code to test and validate new releases of full simulation (Lei) Sarah was co-head of the simulation group from 2003-2005.

4. Sarah Eno4 Last Year Full simulation. Sarah worked with the developers to implement the following changes. Lei found bugs for them with his certification package. Martijn Mulders of FNAL updated the muon geometry Sudeshna Banerjee of the Tata institute updated the SMT cable geometry. These changes also had to be coordinated with the geometry used in the reconstruction. Sahal Yacoob of Northwestern updated the beam pipe geometry Mike Hildreth of Notre Dame updated the geometry of the fiber tracker Alice Bean of the University of Kansas updated the noise and cross-talk simulation of the silicon tracker.

5. Sarah Eno5 D0Raw2Sim Process real zero bias data, to put them into a format so that they can be overlaid (via pileup, which is linked into D0Sim) onto signal MC. Benefits: better simulation of noise (especially in calorimeter) and of the soft physics of the pileup interactions. Problems: Overlaying data onto MC is a problem for code that has if(MC). Part of the event wants the MC settings, part the data. Our code has a lot of this: geometry time to distance relations etc Non-trivial!!

6. Sarah Eno6 Last Year Sarah spent a lot of time with Mike Hildreth debugging the code for the fiber tracker, and some time with Alex Melnitchouk (Mississippi) and Avto Kharchilava (Buffalo) debugging the SMT code Sarah worked with Bob Hirosky (Virginia) to develop tools for processing the zero bias data needed for this project. Results from 2 types of tests: Is it doing a good job of translating from data to MC format? How badly are the if(MC) statements hurting the result? How does it compare with the traditional method of doing pileup (since that has its own problems)?

7. Sarah Eno7 Test of if(MC) problem Path 1 (black): process zero bias data with reco + recocert (data rcps) Path 2 (red) process zero bias data through d0raw2sim and overlayed onto single neutrino events and process with reco+recocert (MC rcps) Results should be IDENTICAL. Remember, d0raw2sim just translates from one format to another. Nothing more. However, remember, this shows how the pileup is messed up. The hits from the signal *will* be handled correctly (since they really are MC, and I processed using the MC rcp’s)

8. Sarah Eno8 Calorimeter Black: no d0raw2sim Red: d0rawsim Sarah Eno

9. 9 Fast Simulation Sarah (with Lee Lueking of FNAL) wrote the Run I fast simulation. Sarah (with Greg Graham) wrote the Run II fast simulation. Fast simulation is used for almost all EWK results, and some NP results. Top group is trying to adapt it for their needs.

10. Sarah Eno10 Fast Simulation

11. Sarah Eno11 W Width/Mass Analysis Marco Verzocchi (former postdoc) head of D0 EWK group from 2002 to 2004 Sarah and Marco head of W mass group from 2002 to 2005 Junjie Zhu (former student) completed thesis on W mass in October, 2004 (approved for conferences Aug 2004) Junjie/Marco also made major contributions to the W/Z cross sections to electrons analysis Matt Wetstein (current student) working on W mass thesis Michiel Sanders (current postdoc): tracking scale and mass in the muon channel Sarah on EB for cross sections analysis

12. Sarah Eno12 W Z Cross Sections Junjie Marco Thesis of John Gardener, Kansas Junjie made major contributions/cross checks to code that calculates the acceptance, fast Monte Carlo, efficiency calculations, backgrounds, resolutions Marco did most of the work on data sample preparation, luminosity calculation Preliminary to all W/Z analyses Test of QCD can be used to extract an indirect measurement of the W width

13. Sarah Eno13 W/Z Cross Sections 177 pb -1

14. Sarah Eno14 W/Z Cross Sections Close to publication

15. Sarah Eno15 Indirect Width theory LEP measure extract (MD also did the Run I measurement)

16. Sarah Eno16 Indirect Run II 2.5% measurement in Run I 2 nd most precise measurement from the Run I data Run II

17. Sarah Eno17 W Mass/Width  r~ln M H W W H W  r~M t 2 W W t One of the best ways we have to constraint the Higgs mass before its discovery

18. Sarah Eno18 W’s LEP EWWG

19. Sarah Eno19 Mass Highest precision measurement will come from the Tevatron’s Collider.

20. Sarah Eno20 W Width: Why? Tree level Not so useful for Higgs physics, but there is a way of doing the measurement that is a useful step towards the mass measurement.

21. Sarah Eno21 W Width Technique same as W mass measurement, but has large stat error Same data sample, MC, as cross section analysis

22. Sarah Eno22 W Width DPF 2005 Have not published yet because…

23. Sarah Eno23 Calorimeter Calibration 3.3 GeV2.2 GeV

24. Sarah Eno24 Calorimeter Calibration Two Aspects of Calibration: ● Electronics Calibration Using Pulsers ●Nonlinearity corrections for SCAs (switched capacitor arrays) ●Gain-corrections ●Pedestals, baseline subtraction (and their stability in time) ● Calibration of the Physical Device ●Nonuniformities in the detector construction. In Run II, with shorter integration time and lower readout voltages we are more sensitive to these effects. ●Not enough Z→ee to calibrate out these effects on sufficiently small granularities ●Instead, we look to more abundant samples to improve the statistical power of ourcalibration MD + Jan Stark

25. Sarah Eno25 Method We require Emin > Etrigger 2) Count the number of events in each tower 3) Adjust the energy cut Ei for each tower until the occupancy of the tower equals the average occupancy for the phi ring. We expect approximate phi symmetry. 4) Assuming a proportional energy response, our towerlevel calibration constants are given by a single multiplicative constant: αi = Ei/Emin

26. Sarah Eno26 Calorimeter Calibration Data Sample ● Level 1: CEM(1,6) : EM trigger towers with ET>6 GeV ● No Level 2 ● Level 3: Precision towers with ET >8 GeV matched to the L1 trigger ● No bias from clustering at L3 ● Prescales were adjusted to saturate the DAQ. We found that this would provide sufficient data in one store to intercalibrate CC towers to within 1% ● August 2004, we had 20 hours of beamtime...collected 5.5 million events trigger is now a part of normal physics running

27. Sarah Eno27 Calibration Constants

28. Sarah Eno28 Calorimeter Calibration 3.35 GeV 2.93 GeV 2.99 GeV HCAL is now being calibrated using same method (different people)

29. Sarah Eno29 W Mass with Muons Muon and electron channels are complimentary: Electron channel is mostly Calorimeter based Muon channel is mostly Tracking based Partly independent systematics Additional statistical power Caveat: momentum resolution of tracking is not as good as calorimeter (M. Sanders) Unfortunately, the Fundamentals need work first here as well.

30. Sarah Eno30 Tracking Scale Muon momentum measured by central tracking detectors Need to understand momentum measurement of tracking detectors: Magnetic field Passive material inside the detector: energy loss Linearity, momentum resolution Final momentum scale will be determined with Z events Use large samples of J/  's and Kshort’ss to study details

31. Sarah Eno31 Problems

32. Sarah Eno32 Tracking & Material Energy loss of a muon in material is mostly through ionization and atomic excitation, described by Bethe-Bloch formula: Study additional correction needed as function of energy -> add the correct amount of material to the track reconstruction see if this improves our understanding

33. Sarah Eno33 Tracking

34. Sarah Eno34 Tracking & Material

35. Sarah Eno35 Z PT Important input to W mass Test of QCD Complement to Toole/Yan analysis Lei Wang’s thesis work

36. Sarah Eno36 Z PT Test of method using MC Lei is first student in W/Z group to look at the new “P17” data

37. Sarah Eno37 ZZ Production Thesis topic of Chad Jarvis Important background for Higgs Production

38. Sarah Eno38 ZZ

39. Sarah Eno39 ZZ

40. Sarah Eno40 TeV EWWG In the spring of 2003, Sarah Eno, Martin Grunewald (Dublin), Ashutosh Kotwal (Duke) and Michael Schmitt (Northwestern) founded the Tevatron Electroweak Working Group, modeled on the LEP EWWG. Goal: provide prompt, correct preliminary combinations of EWK results from the Tevatron (including top mass). Encourage communication between CDF and D0 on theoretical issues, error catagories, etc.