High p T Hadron Correlation and No Correlation
- Slides: 46
High p. T Hadron Correlation and No Correlation Rudolph C. Hwa University of Oregon Hard Probes 2006 Asilomar, CA, June 10, 2006
A. Conventional scenario Hard scattering high p. T jet hadron correlation (usual conductor has resistance) B. Unconventional scenario High p. T hadrons high p. T jet correlation (superconductor has no resistance) 2
A. Jet Correlation p. T 1 -p. T 2 near side 1 - 2 1 away side auto-correl B. No Jet Correlation 1. and production up to p. T ~ 6 Ge. V/c 2. Forward production at any p. T 3. Large p. T at LHC 3
STAR same side
Associated particle p. T distribution p 1 -- trigger p 2 -- associated In the recombination model k q 1 q 3 q 2 q 4 5
STAR Associated particle distribution in the recombination model -- for only Hwa & Tan, PRC 72, 057902 (2005) 6
Medium modified dihadron fragmentation function -- more relevant at higher p. T. Jet tomography CGC forward production Majumder, Wang nucl-th/0412061 All use fragmentation for hadronization -- but not reliable at intermediate p. T Remember p/ ratio in white paper TTT TT TS S S -fragmentation All in recombination/ coalescence model If proton production cannot be described by fragmentation at intermediate p. T, how much trust can be placed on pion production by fragmentation? 7
A. Jet Correlation p. T 1 -p. T 2 near side 1 away side 2 1 - 2 auto-correl 8
Away side medium effect on away-side jet Jet quenching enhancement suppression
Dijet fragmentation STAR, nucl-ex/0604018 enhancement suppression 10
production in Au. Au central collision at 200 Ge. V recombination fragmentation Hwa & CB Yang, PRC 70, 024905 (2004) 11
STAR dijet p. T(assoc) 12 0. 2 8 0. 1 4 0 4 8 12 p. T(trig) 16 12
Trigger-normalized fragmentation function Trigger-normalized momentum fraction is measurable without direct knowledge of the parton energy. X. -N. Wang, Phys. Lett. B 595, 165 (2004) J. Adams et al. , nucl-ex/0604018
STAR, nucl-ex/0604018 14
STAR dijet z. T=0. 8 -0. 9 12 p. T(assoc) Bielcikova PANIC 05 z. T=0. 5 -0. 6 8 4 0 4 8 12 p. T(trig) 16 15
STAR claims universal behavior in D(z. T) fragmentation violation of universal behavior due to medium effect ---thermal-shower recombination Suggestion: look for p/ ratio in this region. Large if dominated by recombination. 16
A. Jet Correlation p. T 1 -p. T 2 near side 1 away side 2 1 - 2 3 auto-correl 17
Correlation on the near side and distributions STAR, PRL 95, 152301 (2005) peaks
Chiu & Hwa, PRC 72, 034903 (2005) pedestal T=15 Me. V energy loss converts to soft particles hard parton shower parton, leads to the trigger particle Those soft particles form the pedestal. At low trigger momentum, hard partons can originate farther in. trigger hadron At higher trigger momentum, the hard parton originate closer to the surface, so less energy is lost. 19 Hence no pedestal.
A. Jet Correlation p. T 1 -p. T 2 1 - 2 near side 1 3 away side 2 4 auto-correl 20
Away-side distribution Casalderrey-Solana, Shuryak, Teaney Mach cone Dremin Cherenkov gluons Ruppert, Muller color wake Koch, Majumder, Wang Cherenkov radiation Vitev jet quenching+fragm . . Chiu, Hwa parton multiple scattering 21
Parton multiple-scattering model Sample trajectories for 2. 5<p(trig)<4, 1<p(assoc)<2. 5 exit tracks high p. T parton absorbed (thermalized) tracks
PHENIX 2. 5<p(trig)<4 Away-side distribution parton p=4. 5 Event averaged, background subtracted. energy loss thermalized - Cannot distinguish between 1 -jet and 2 -jet contributions (e. g. , Mach cone) A new measure proposed that suppresses statistical background event-by-event Chiu & Hwa, nucl-th/0605054 Chiu’s talk in parallel session on Monday 23
A. Jet Correlation p. T 1 -p. T 2 1 - 2 near side 1 3 away side 2 4 auto-correl 5 24
Autocorrelation Consider an example in time series analysis Trainor (STAR) Jamaica workshop (2004)
Correlation function Treat 1, 2 on equal footing --- no trigger Define Autocorrelation Fix and , and integrate over all other variables in The only non-trivial contribution to , would come from jets near No ambiguous subtraction procedure; only do as defined. 26
k hard parton momentum k 2 q 2 x 1 q 1 Radiated gluon momentum q thermal partons y z x jet axis p 2 two shower partons with angular difference - 2 (a much larger set) p 1 1 y z pion momenta (observable) 27
STAR data on Autocorrelation for central Au+Au at 130 Ge. V for | | 1. 3, 0. 15<p. T<2 Ge. V/c dominated by soft partons NO trigger, no subtraction Chiu & Hwa, PRC 73, 014903 (2006) TS recombination in a jet with p. T>3 Ge. V/c nucl-ex/0605021 28
A. Jet Correlation p. T 1 -p. T 2 1 - 2 near side 1 3 away side 2 4 auto-correl B. 5 No Jet Correlation 1. and production up to p. T ~ 6 Ge. V/c 2. Forward production at any p. T 3. Large p. T at LHC 29
and production at intermediate p. T distribution of by recombination For strange-quark shower is very suppressed.
Hwa & CB Yang, nucl-th/0602024 recombination s s hard parton scattering recombination s s fragmentation If they are produced by hard scattering followed by fragmentation, one expects jets of particles. There are other particles associated and with 31
We claim that no shower partons are involved in production, so no jets are involved. Select events with or in the 3<p. T<6 region, and treat them as trigger particles. Predict: no associated particles giving rise to peaks in , near-side or away-side.
(1/Ntrig) d. N/d( Signal Au+Au top 5% charged hadrons background trigger (p. T>3 Ge. V/c) in Au+Au ? 33
A. Jet Correlation p. T 1 -p. T 2 1 - 2 near side 1 3 away side 2 4 auto-correl B. 5 No Jet Correlation 1. and production up to p. T ~ 6 Ge. V/c 2. Forward production at any p. T 3. Large p. T at LHC 34
Forward production of hadrons PHOBOS, nucl-ex/0509034 Back et al, PRL 91, 052303 (2003) Without knowing p. T, it is not possible to determine x. F
Theoretically, can hadrons be produced at x. F > 1? (TFR) It seems to violate momentum conservation, p. L > √s/2. In p. B collision the partons that recombine must satisfy p B A B But in AB collision the partons can come from different nucleons In the recombination model the produced p and can have smooth distributions across the x. F = 1 boundary. 36
proton k: momentum degradation factor pion proton-to-pion ratio is very large. Hwa & Yang, PRC 73, 044913 (2006) 37
BRAHMS, nucl-ex/0602018 38
x. F = 0. 9 x. F = 1. 0 x. F = 0. 8 TFR TS TTT TT 39
Hwa & Yang, nuclth/0605037 Thermal distribution fits well no shower partons involved no jet structure no associated particles 40
A. Jet Correlation p. T 1 -p. T 2 1 - 2 near side 1 3 away side 2 4 auto-correl B. 5 No Jet Correlation 1. and production up to p. T ~ 6 Ge. V/c 2. Forward production at any p. T 3. Large p. T at LHC 41
and p production at high p. T at LHC New feature at LHC: density of hard partons is high. High p. T jets may be so dense that neighboring jet cones may overlap. If so, then the shower partons in two nearby jets may recombine. 2 hard partons 1 shower parton from each p
Ge. V/c The particle detected has some associated partners. But they are part of the background of an ocean of hadrons from other jets. There should be no observable jet structure distinguishable from the background. That is very different from a super-high p. T jet. A jet at 30 -40 Ge. V/c would have lots of observable associated particles. 43
Proton-to-pion ratio at LHC -- probability of overlap of 2 jet cones single jet Hwa & Yang nuclth/0603053 44
We predict for 10<p. T<20 Gev/c at LHC • Large p/ ratio • NO associated particles above the background 45
Summary A. Jet Correlation There’s jet quenching, but not necessarily fragmentation 1 - 2 p. T 1 -p. T 2 near side Jet fragmentation at high away side Recombination at auto-correl B. 1 - 2 and No trigger bias, need more data at high p. T No Jet Correlation 1. and production up. When to precombination ? T ~ 6 Ge. V/c dominates 2. Forward production 3. Large p. T at LHC over fragmentation, B/M ratio can atbeany ? veryplarge, and there would be T no jets, no jet structure and no ? correlation above background.
- Hadron calorimeter
- Hadron collider
- Hadron collider
- Hadrons
- Hadron
- Positive vs negative correlation
- Positive correlation versus negative correlation
- Directive and supportive leadership
- High directive and low supportive behavior
- High precision vs high recall
- High precision vs high recall
- High expectations high support
- High precision vs high accuracy
- Investasi adalah
- Beggs and brill method
- Eq and iq correlation
- Scatter plot and correlation
- Difference between regression and correlation
- Height and shoe size correlation
- Pearson correlation method
- R squared to correlation coefficient
- Statistics and correlation
- Difference between correlation and regression
- Difference between regression and correlation
- Formula for ssxx
- Prediction interval formula
- Difference between correlation and regression
- Difference between correlation and regression
- Correlation and variance
- Difference between spearman and pearson correlation
- Spearman rho
- Korelasi parsial adalah
- Chapter 7 scatterplots association and correlation
- Chapter 7 scatterplots association and correlation
- Contoh soal persamaan regresi dan korelasi
- Load response correlation
- Pengertian korelasi rank spearman
- Limitations of mental rehearsal
- Examples of naturalistic observation
- Direct and indirect relationship
- Mclass reading levels
- Coefficient of correlation
- Association vs correlation
- How to draw line of best fit
- Correlation vs association
- Causatio
- Coefficient of determination in r