CDF 実験における トップ・クォーク質量の 測定 日本物理学会・秋季大会( 2005 年) 大阪市立大学, 2005 年 9 月 14 日 佐藤構二, 戸村友宣, 丸山和純, 金信弘 (筑波大学数理物質研究科) Luc Demortier ( Rockefeller University ) 他 CDF.

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CDF 実験における トップ・クォーク質量の 測定 日本物理学会・秋季大会( 2005 年) 大阪市立大学, 2005 年 9 月 14 日 佐藤構二, 戸村友宣, 丸山和純, 金信弘 (筑波大学数理物質研究科) Luc Demortier ( Rockefeller University ) 他 CDF Collaboration Contents : Introduction Motivation Top Quark Properties Template Analysis Summary of CDF Measurements New Preliminary World Average Summary

p – p collisions at  s = 1.96 TeV (1.8 TeV in Run I). Peak luminosity record : 1.4x10 32 cm -2  s -1. Tevatron has already delivered  1.2 fb -1 of collisions in Run II. CDF has acquired ~1 fb -1 of data. Analysis in this presentation uses 318 pb -1 of data. Direct study on top quark is only possible at Tevatron! Tevatron Run II Run II since Summer 2001

Multi-purpose detector Tracking in magnetic field.  Tracking coverage |  |<~1.  Magnetic field = 1.4 T. Precision tracking with silicon.  7 layers of silicon detectors. EM and Hadron Calorimeters.   E /E ~ 14%/  E (EM).   E /E ~ 84%/  E (HAD). Muon chambers. Collider Detector at Fermilab

Top Quark Mass - Introduction Top is one of the least well studied elementary particles (evidence by CDF in 1994 / discovery by CDF/D0 in 1995). Top mass is a fundamental parameter of the Standard Model. Mass measurements of top and W constrain the Higgs mass. t b WW W H Tevatron Run I average : m top =  2.7  3.0 GeV/c 2  m higgs  260 GeV/c 2 (95% C.L.) m top  EWSB scale.  Special role of top? CDF Run II goal :  m top ~ 2 GeV/c 2

Top Quark Production and Decay t t q q g g b b W+W+ W-W- l+l+ q’ q 15%85%  100% We use pair creation events (  ~6pb -1 ) to measure m top. Top decays before hadronization.   top =0.4x s < 1/  QCD  s.  Br(t  Wb)  100%. dilepton lepton+jets 30% 5% Clean but few signal. Two ’s in final state. One in final state. Manageable bkgd. all hadronic 44%Large background.  + X 21%  -ID is challenging. Mode Br.(%) Final states : We measure top mass in l+jets channel.  100%

Flow of Mass Measurement Signal MC Bkgd. MC Collision data Event-by-event top mass Template Fit (Likelihood Fit) Event Selection  2 Fitter Look for top mass and background fraction that describes the data distribution best. 1 isolated e or  w/ P T >20 GeV, |  |<~1 Missing E T >20 GeV 4 jets (JetClu w/  R=0.4) B-tagging of jets. Parameterize distribution as a function of true top mass.

B-Tagging Algorithms SECVTX –Reconstructs secondary vertex of B-hadron decay. –Tags b-jets by displacement of secondary vertex from primary vertex. Jet Probability (JP) –Looks at the impact parameters of tracks in the jet and calculates probability of the jet to originate from the primary vertex. –Tags b-jet according to the calculated probability. –We have optimized JP algorithm for the best sensitivity to top mass. bb  light flavor SECVTX28%0.34% JP33%4.1% JP has looser tagging condition with larger b-tagging efficiency.

t t q q g g b b W+W+ W-W- l+l+ q’ q Subsample Categorization Category2-tag (S+S)2-tag (S+J) 1-tag(T)1-tag(L)0-tag j1-j3E T >15 E T >21 j4E T >8 E T >1515>E T >8E T >21 b-tag condition 2 SECVTX1 SECVTX + 1 JP 1 SECVTX 0 SECVTX # parton-jet Assignment S/N (318 pb -1 ) 17/115/136/711/10~20/20 4 jets in final state  12 parton-to-jet assignments. B-tagging information helps in correct reconstruction of signal events!  Uncertainty minimum in double tagged candidates. Use of JP doubles the double tagging efficiency! 2-tag samples are much purer and easier to reconstruct!

Extracting Top Mass for each Candidate Event Minimize  2 to reconstruct event-by-event top mass (2-C fit). Fluctuate particle momenta according to detector resolution. Constrain masses of 2 W’s. t and t have the same mass.  Assignment inconsistent with b-tagging information is rejected.  We choose the assignment with smallest  2 as seemingly correct event reconstruction. M top as free param. 2jets from W decay + 2b-jets.  12 jet-parton assignments. We reject events with  2 >9, as seemingly background.

Top Mass Templates Signal Template (1tagT) M top distribution shape is parameterized as a function of true top mass using ttbar Monte Carlo samples with different top mass assumptions. Background distribution is also fit into a function, but NOT dependent of top mass. Background Template (1tagT) M top (GeV/c 2 )

Result of Fit to Data Likelihood fit looks for top mass that describes the data M top distribution best (template fit). The background fraction is constrained by estimation for tagged samples. The background fraction is free in 0 tag sample. M top (GeV/c 2 ) 1tagL 2tag (S+S) 1tagT 0tag 2tag (S+J) m top = /-2.8 (stat)  3.3 (syst) GeV/c 2 L = 318 pb -1 Jet Energy Scale (JES) Uncertainty =  3.0 GeV/c 2

Improved Fitting t t q q g g b b W+W+ W-W- l+l+ q’ q m top = /-2.6 (stat)  3.0 (syst) GeV/c 2 JES syst =  2.5 compared to  3.0 wo/ in situ calibration Even better than Run I World Ave! In-situ JES calibration w/ W  jj invariant mass in candidate events. (M top, W invariant mass) are parametrized as functions of (true top mass, JES). Likelihood fit is performed in (true top mass, JES) plane (2-D fit). Currently only using SECVTX tagger. Further improvement can be achieved by optimizing b-tagging conditions. L = 318 pb -1 top mass (GeV/c 2 )

Future Projection Aimed for luminosity o f Tevatron Run II. Total uncertainty of 2-D fit measurement will achieve  m top  2 GeV/c 2 in the end of CDF Run II. Conservative projection assuming only stat. and JES will improve. We can improve other syst. uncertainties. We will optimize b- tagging condition for 2-D fit in the next round. Currently it only uses SECVTX.  We will do better!

Summary of Run II Measurements Only best analysis from each decay mode, each experiment. CDF Run II Top Mass Measurements Preliminary World Average with CDF/D0, Run I/Run II Measurements

Updated Electroweak Fit m higgs =91 +45/-32 GeV/c 2 m higgs  186 GeV/c 2 (95% CL) w/ Preliminary CDF + D0, Run I + Run II Combined : m top =172.7  2.9 GeV/c 2 w/ Tevatron Run I average :  4.3 GeV/c 2 : m higgs = /-45 GeV/c 2, m higgs  260 GeV/c 2 (95% CL)

Summary CDF L+Jets Template w/ JP : m top = /-4.3 GeV/c 2 (318 pb -1 ). Template fit with in-situ JES calibration is the best single measurement and better than Run I World Average : m top = /-4.0 GeV/c 2 (318 pb -1 ).  This analysis will achieve  m top ~ 2 GeV/c 2 in the end of Run II. Preliminary combination of CDF and D0 (RunI + Run II): m top =172.7  2.9 GeV/c 2. (Run I World Average :  4.3 GeV/c 2 )  m higgs =91 +45/-32 GeV/c 2, m higgs  186 GeV/c 2 (95% CL). (m higgs  260 GeV/c 2 using Run I World Average) Next Winter with  1fb -1 dataset (  3 statistics). - Improvement of dominant uncertainties by  1/  L. - D0 Run II Dilepton and All Hadronic channel from CDF/D0 Run II will be newly included in combined measurement. - We expect a good improvement in precision of measurement again!

Backup

Results of Template Measurements Template + JP Template + JES Summer   6.6  Summer    3.0

CDF L+jets Template Group Template Method measurement was reported by –Fermilab Today "CDF Tops the Top World Average“ (April 21, 2005)"CDF Tops the Top World Average“ –KEK News " 質量起源の解明をめざして " (May 19, 2005)" 質量起源の解明をめざして " Intstitutes : Tronto 3 UC Berkeley 2 Chicago 4 JINR 2 Fermilab 1 Pisa 1 Tsukuba 4 Rockefeller 1

Event Selection One isolated high P T lepton (e/  ). –e : E T > 20 GeV, |  |<1.1, shower shape, matching between calorimeter cluster and track. –  : P T > 20 GeV, |  |<1.0, matching between muon chamber hits and track, energy deposit in calorimeter. Missing E T > 20 GeV, to ensure there was a in the final state. 4 Jets reconstructed using JETCLU algorithm with cone size 0.4. Sample subdivision by b-tagging conditions. –1 and 2 tag channels : More than 3 jets with E T >15 GeV, |  |<2.0. The 4th jet with E T >8 GeV, |  |<2.0. –0 tag channel : 4 jets with E T >21 GeV, |  |<2.0. We only consider the leading 4 jets as products of ttbar decay, when  5 jets are found in a event. Two b-tagging algorithms – SECVTX and Jet Probability.

Jet Probability Algorithm (1)

Jet Probability Algorithm (2)

Uncertainty on Jet Energy Measurement

Jet Energy Uncertainty Compared with Run I

Optimization of Jet Probability Jet Probability algorithm calculates probability of the jet to originate from the primary vertex. We apply a cut on the calculated probability for b-tagging. We optimized the cut value for the best statistical sensitivity to top quark mass in a Monte Carlo study. Statistical error minimum for top mass measurement!

Expected Number of Events Comparison of number of events between data and expectation : m top = 175 GeV/c 2 m top = 178 GeV/c 2

Fraction of Correctly Reconstructed Events In ttbar MC events with m top =178 GeV/c 2. 47% 40%25% 15%20%

Fraction of Correctly Reconstructed Events 47% 28% 18%20% In ttbar MC events with m top =178 GeV/c 2. Categorization with SECVTX only.

Definition of Likelihood

Result of Fit to Data Likelihood fit looks for top mass that describes the data M top distribution best (template fit). The background fraction is constrained by estimation for tagged samples. The background fraction is free in 0 tag sample. L = 318 pb -1 M top (GeV/c 2 ) 1tagL 2tag (S+S)1tagT 0tag 2tag (S+J)

Measured Top Mass m top = /-2.8 (stat)  3.3 (syst) GeV/c 2 Top mass (GeV/c 2 ) L = 318 pb -1 -ln(L/Lmax) Breakdown of Systematic Errors Likelihood vs m top Jet Energy Scale (JES) is dominant!

Cross Check The obtained statistical uncertainty is consistent with expectation from Monte Carlo study.

Improved Fitting Method Syst. Uncertainty =  3.3 GeV/c 2 is dominated by JES uncertainty (  3.0 GeV/c 2 ). Most JES uncertainties are shared between light flavor and b-jets. Only 0.6 GeV/c2 additional uncertainty on m top due to b-jet specific systematics.  Likelihood fit with constraint on the dijet mass in candidate events. t t q q g g b b W+W+ W-W- l+l+ q’ q Use dijet invariant mass for in-situ JES calibration.

Templates with JES Hadronic W mass Template (M top, hadronic W invariant mass) are parametrized as functions of (true top mass, JES). JES shifted by –3 ,-1 ,… of generic jet calibration m jj varies significantly as a function of JES. Event-by-event M top is also largely dependent on JES.  M top distribution is now parameterized as a function of true top mass m top and JES.

Result of 2-D Fit JES syst 2.5 compared to 3.1 wo/ in situ calibration Likelihood fit looks for top mass, JES and background fraction that describes the data M top and m jj distributions best. L = 318 pb -1 M top distributions : 2tag1tagT 1tagL0tag m top = /-2.6 (stat)  3.0 (syst) GeV/c 2 m top = /-3.6 (stat+JES)  1.7 (syst) GeV/c 2 M top (GeV/c 2 ) Top mass (GeV/c 2 ) Even better than Run I World Ave! (with only SECVTX)

Future Projection Aimed for luminosity of Tevatron Run II. Total uncertainty of 2-D fit measurement will be  m top  2 GeV/c 2 in the end of CDF Run II. Conservative projection assuming only stat. and JES will improve. We can improve other syst. uncertainties. We will optimize b-tagging condition for 2-D fit. Currently it only uses SECVTX.  We will do better!

Summary of Run II Measurements

Run II Combined Top Mass Correlation : uncorrelated  stat.  fit method  in situ JES 100% w/i exp (same period)  JES due to calorimeter 100% w/i channel  bkgd. model 100% w/i all  JES due to fragmentation,  signal model  MC generator Only best analysis from each decay mode, each experiment.

New Preliminary World Average m top =172.7  1.7 (stat)  2.4 (syst) GeV/c 2 Split into 2 to isolate “in situ” JES systematics from other JES Correlation : Combination of the best analysis from each decay mode, each experiment.

Future Improvements Syst. already dominates the uncertainty! Basic improvement by  1/  L - L  1fb -1 in next Winter. - In-situ JES calibration is a powerful tool. It can be introduced to other L+jets analyses. Sig./Bkgd. Modeling (ISR/FSR/Q 2 dependence etc.) can be improved by using our own data. D0 Run II Dilepton measurement is coming soon. Measurements in All Hadronic mode (CDF/D0) are under development. GeV/c 2 Result172.7 Stat.1.7 JES2.0 Sig. Model0.9 Bkgd. Model0.9 Multi-Interaction0.3 Fit Method0.3 MC Generator0.2 Total Syst.2.4 Total Error2.9 Combined Result:

Zbb Trigger : 2 SVT track GeV clusters. Offline Cuts : N==2 jets w/ E T >20GeV, |  |<1.5 (JetClu cone 0.7). Both jets are required to have secondary vertex tag.  (j1,j2)>3.0. E T 3rd-jet <10GeV.