Jamie Nagle University of Qolorado, Boulder Winter Workshop on Nuclear Dynamics 2008 South Padre Island, Texas.

Slides:



Advertisements
Similar presentations
W. A. Horowitz Quark Matter 2005 A Promising Solution to the Elliptic Quench Puzzle at RHIC William A. Horowitz Columbia University August 4-5, 2005.
Advertisements

Elliptic flow of thermal photons in Au+Au collisions at 200GeV QNP2009 Beijing, Sep , 2009 F.M. Liu Central China Normal University, China T. Hirano.
1 Jet Structure of Baryons and Mesons in Nuclear Collisions l Why jets in nuclear collisions? l Initial state l What happens in the nuclear medium? l.
TJH: ISMD 2005, 8/9-15 Kromeriz, Czech Republic TJH: 1 Experimental Results at RHIC T. Hallman Brookhaven National Laboratory ISMD Kromeriz, Czech Republic.
Photon-Hadron Correlations at RHIC Saskia Mioduszewski Texas A&M University E-M Workshop of RHIC/AGS Users’ Meeting 27 May, 2008.
Yorito Yamaguchi For the PHENIX collaboration CNS, University of Tokyo 10/14/2008ATHIC2008 1/13.
Charm & bottom RHIC Shingo Sakai Univ. of California, Los Angeles 1.
Di-electron Continuum at PHENIX Yorito Yamaguchi for the PHENIX collaboration CNS, University of Tokyo Rencontres de Moriond - QCD and High Energy Interactions.
ICPAQGP, Kolkata, February 2-6, 2015 Itzhak Tserruya PHENIX highlights.
A probe for hot & dense nuclear matter. Lake Louise Winter Institute 21 February, 2000 Manuel Calderón de la Barca Sánchez.
Relativistic Heavy-Ion Collisions: Recent Results from RHIC David Hardtke LBNL.
High-p T spectra and correlations from Cu+Cu and Au+Au collisions in STAR Marco van Leeuwen, LBNL for the STAR collaboration.
Ali Hanks - APS Direct measurement of fragmentation photons in p+p collisions at √s = 200GeV with the PHENIX experiment Ali Hanks for the PHENIX.
Wolfgang Cassing CERN, Properties of the sQGP at RHIC and LHC energies.
Direct photons and Jet correlation in HI. Integrated I AA (0.4
Oana Catu, Yale University for the STAR Collaboration Quark Matter 2008, February 4-10, Jaipur, India System size dependence of dihadron correlations and.
Centrality-dependent pt spectra of Direct photons at RHIC F.M. Liu 刘复明 Central China Normal University, China T. Hirano University of Tokyo, Japan K.Werner.
Hard Probes at RHIC Saskia Mioduszewski Texas A&M University Winter Workshop on Nuclear Dynamics 8 April, 2008.
David L. Winter for the PHENIX Collaboration High-p T Particle Production with Respect to the Reaction Plane Winter Workshop on Nuclear Dynamics La Jolla,
Interaction between jets and dense medium in heavy-ion collisions Rudolph C. Hwa University of Oregon TsingHua University, Beijing, China May 4, 2009.
Effects of Bulk Viscosity at Freezeout Akihiko Monnai Department of Physics, The University of Tokyo Collaborator: Tetsufumi Hirano Nagoya Mini-Workshop.
Status of the TECHQM ‘brick problem’ Marco van Leeuwen, Utrecht University.
1 The Quark Gluon Plasma and the Perfect Fluid Quantifying Degrees of Perfection Jamie Nagle University of Colorado, Boulder.
High p T  0 Production in p+p, Au+Au, and d+Au Stefan Bathe UC Riverside for the Collaboration Topics in Heavy Ion Collisions McGill University, Montreal,
A NLO Analysis on Fragility of Dihadron Tomography in High Energy AA Collisions I.Introduction II.Numerical analysis on single hadron and dihadron production.
Identified Particle Ratios at large p T in Au+Au collisions at  s NN = 200 GeV Matthew A. C. Lamont for the STAR Collaboration - Talk Outline - Physics.
What can we learn from/about QCD energy loss? (From an experimentalists point of view) Marco van Leeuwen, Utrecht University TECHQM meeting, 6-10 July.
Precision Probes for Hot QCD Matter Rainer Fries Texas A&M University & RIKEN BNL QCD Workshop, Washington DC December 15, 2006.
Hard vs. Soft Physics at RHIC - Insights from PHENIX l Why hard vs. soft? l Soft physics: thermal, flow effects l Hard processes at RHIC l Conclusion Barbara.
Workshop for Particle Correlations and Femtoscopy 2011
Jet quenching and direct photon production F.M. Liu 刘复明 Central China Normal University, China T. Hirano 平野哲文 University of Tokyo, Japan K.Werner University.
Detail study of the medium created in Au+Au collisions with high p T probes by the PHENIX experiment at RHIC Takao Sakaguchi Brookhaven National Laboratory.
1 Search for the Effects of the QCD Color Factor in High-Energy Collisions at RHIC Bedanga Mohanty LBNL  Motivation  Color Factors  Search for Color.
EXPERIMENTAL EVIDENCE FOR HADRONIC DECONFINEMENT In p-p Collisions at 1.8 TeV * L. Gutay - 1 * Phys. Lett. B528(2002)43-48 (FNAL, E-735 Collaboration Purdue,
Jet energy loss at RHIC and LHC including collisional and radiative and geometric fluctuations Simon Wicks, QM2006 Work done with Miklos Gyulassy, William.
1 A NLO Analysis on Fragility of Dihadron Tomography in High-Energy Nuclear Collisions Enke Wang Institute of Particle Physics, Central China Normal University.
1 Jeffery T. Mitchell – Quark Matter /17/12 The RHIC Beam Energy Scan Program: Results from the PHENIX Experiment Jeffery T. Mitchell Brookhaven.
Energy Scan of Hadron (  0 ) Suppression and Flow in Au+Au Collisions at PHENIX Norbert Novitzky for PHENIX collaboration University of Jyväskylä, Finland.
Flow fluctuation and event plane correlation from E-by-E Hydrodynamics and Transport Model Victor Roy Central China Normal University, Wuhan, China Collaborators.
Ralf Averbeck Stony Brook University Hot Quarks 2004 Taos, New Mexico, July 19-24, 2004 for the Collaboration Open Heavy Flavor Measurements with PHENIX.
STAR Modification of high-p T hadro-chemistry in Au+Au collisions relative to p+p Anthony Timmins for the STAR Collaboration 31st July 2009 Heavy-ion III.
Probing the properties of dense partonic matter at RHIC Y. Akiba (RIKEN) for PHENIX collaboration.
Robert Pak (BNL) 2012 RHIC & AGS Annual Users' Meeting 0 Energy Ro Robert Pak for PHENIX Collaboration.
Scaling of Elliptic Flow for a fluid at Finite Shear Viscosity V. Greco M. Colonna M. Di Toro G. Ferini From the Coulomb Barrier to the Quark-Gluon Plasma,
1 Tatsuya Chujo Univ. of Tsukuba Hadron Physics at RHIC HAWAII nd DNP-APS/JPS Joint Meeting (Sep. 20, 2005)
2009/12/16T. Sakaguchi, Joint CATHIE/TECHQM1 High End Jet Quenching study from PHENIX Takao Sakaguchi Brookhaven National Laboratory for the PHENIX collaboration.
1 Fukutaro Kajihara (CNS, University of Tokyo) for the PHENIX Collaboration Heavy Quark Measurement by Single Electrons in the PHENIX Experiment.
Elliptic flow and shear viscosity in a parton cascade approach G. Ferini INFN-LNS, Catania P. Castorina, M. Colonna, M. Di Toro, V. Greco.
SWADHIN TANEJA (STONY BROOK UNIVERSITY) K. BOYLE, A. DESHPANDE, C. GAL, DSSV COLLABORATION 2/4/2016 S. Taneja- DIS 2011 Workshop 1 Uncertainty determination.
1 Guannan Xie Nuclear Modification Factor of D 0 Mesons in Au+Au Collisions at √s NN = 200 GeV Lawrence Berkeley National Laboratory University of Science.
1 Charged hadron production at large transverse momentum in d+Au and Au+Au collisions at  s=200 GeV Abstract. The suppression of hadron yields with high.
BY A PEDESTRIAN Related publications direct photon in Au+Au  PRL94, (2005) direct photon in p+p  PRL98, (2007) e+e- in p+p and Au+Au 
What Can We Learn from Charm Production at RHIC? James Nagle University of Colorado at Boulder c _c_c.
1 Probing dense matter at extremely high temperature Rudolph C. Hwa University of Oregon Jiao Tong University, Shanghai, China April 20, 2009.
Diagnosing energy loss: PHENIX results on high-p T hadron spectra Baldo Sahlmüller, University of Münster for the PHENIX collaboration.
Comparing energy loss phenomenology Marco van Leeuwen Utrecht University.
High p T results from PHENIX Carla M Vale Brookhaven National Laboratory for the PHENIX Collaboration June
Elastic, Inelastic and Path Length Fluctuations in Jet Tomography Simon Wicks Hard Probes 2006 Work done with William Horowitz, Magdalena Djordjevic and.
The STAR Experiment Texas A&M University A. M. Hamed for the STAR collaboration 1 Quark Matter 2009 Knoxville, TN.
Heavy quark energy loss in hot and dense nuclear matter Shanshan Cao In Collaboration with G.Y. Qin, S.A. Bass and B. Mueller Duke University.
Jet Production in Au+Au Collisions at STAR Alexander Schmah for the STAR Collaboration Lawrence Berkeley National Lab Hard Probes 2015 in Montreal/Canada.
Toward a  +Jet Measurement in STAR Saskia Mioduszewski, for the STAR Collaboration Texas A&M University 1.
High p T hadron production and its quantitative constraint to model parameters Takao Sakaguchi Brookhaven National Laboratory For the PHENIX Collaboration.
Non-Prompt J/ψ Measurements at STAR Zaochen Ye for the STAR Collaboration University of Illinois at Chicago The STAR Collaboration:
Monika Sharma Wayne State University for the STAR Collaboration
Status of the TECHQM ‘brick problem’
STAR and RHIC; past, present and future.
QGP at RHIC: Seen through Modified Jet Fragmentation
of Hadronization in Nuclei
First Hints for Jet Quenching at RHIC
Presentation transcript:

Jamie Nagle University of Qolorado, Boulder Winter Workshop on Nuclear Dynamics 2008 South Padre Island, Texas

Acknowledging fruitful collaboration with Mike Tannenbaum. Useful theory input and discussions with W. Horowitz, P. Jacobs, C. Loizides, G-Y Qin, I. Vitev, X.N. Wang. QuasiParticles versus the Perfect Fluid. Quarkonia. Quixotical Queries into Quicksand Quandaries ? Quantitative Constraints on the Quark Gluon Plasma. Quasi-Particle Degrees of Freedom versus the Perfect Fluid as Descriptors of the Quark-Gluon Plasma. L.A. Linden Levy, J.L. Nagle, C. Rosen, P. Steinberg. e-Print: arXiv: [nucl-th] L.A. Linden LevyJ.L. NagleC. RosenP. Steinberg

Uncertainties: Type A = point-to-point uncorrelated (e.g. statistical) [shown as error lines] Type B = point-to-point correlated [shown as gray bars] Type C = globally correlated (i.e. all points move by multiplicative factor) [text] arXiv: arXiv:

Example Case: Type A: Dominated by Statistical Uncertainties Type B: Dominated by energy scale uncertainties and some contribution from photon shower merging for p T ~ GeV/c Type C: +/- 12% is roughly equal contributions from nuclear thickness uncertainty (T AA ) and proton-proton cross section absolute normalization. Every RHIC published result on which a full quantitative analysis is to be performed needs to explicitly quote these uncertainty contributions !

Methodology for inclusion of statistical and systematic uncertainties…. Calculate the modified  2 as a function of the theory parameters set (p) for the optimal  b (systematic Type B offset) and  c (systematic Type C offset). If the type A uncertainties scale the same as the data under systematic offsets, then one needs to rescale  i.

First example comparison… Wicks-Horowitz-Djordjevic-Gyulassy (WHDG) model Generalized GLV formalism + collisional energy loss. Realistic transverse geometry + Bjorken time expansion. No modified PDF’s or initial state multiple scattering.

Clear minimum in modified  2. dN g /dy = std. dev. 2 std. dev. What does this p-value mean? What does the whole result mean?

p-value Assume a particular hypothesis is true. If you did an infinite number of experiments, given a set of statistical and systematic uncertainties, what fraction of these experiments would have a worse modified  2 than the real experiment. Note that a p-value = 60% does not mean there is a 60% probability the hypothesis is correct.

Quiz on p-values…. Consider this example experiment with a very good  2 /dof = 10.5/19. A hypothesis with a level=0.56 has a p-value of 74%. Thus, 74% of the time (doing multiple experiments) just from statistical fluctuations we would get a worse  2. However, from a relative  2 analysis with a best value at 0.51, the level=0.56 is excluded at more than 3 standard deviations. How to resolve?

dN g /dy = std. dev. 2 std. dev. If we assume that all of the physics in WHDG is correct and there is only unknown parameter (dN g /dy), then this is the constraint on that parameter from the experimental statistical and systematic uncertainties. If the above assumption is incorrect, then this is not the constraint (i.e. theoretical uncertainties are not included) !

PQM GLV WHDG ZOWW

LionsTigersBears

G-Y Qin et al., PRL 100, (2008) “Once temperature evolution is fixed by the initial conditions and evolution [by 3+1 dimensional hydrodynamics], the  s is the only quantity which is not uniquely determined.” AMY + Hydro, oh my! AMY  s =

Straight Line Model (SLM) Data is consistent with completely flat R AA inside the one standard deviation contour.

PQM = 13.2 GeV 2 /fm ^ GLV dN g /dy = WHDG dN g /dy = ZOWW  0 = 1.9 GeV/fm AMY  s = Constraints Each constraint is assuming a perfect model with only one unknown parameter. Uncertainty is from experimental sources only ! Pion gas Cold nuclear matter RHIC data sQGP QGP Baier’s plot

“The fragility of high p T hadron spectra as a hard probe” “The interaction of the hard parton with the medium appears to be much stronger than expected for perturbative interactions…” Implied qhat is effectively an order of magnitude stronger interactions than implied by other model extracted parameters. MUST be resolved ….

Thus, for a given fractional uncertainty on R AA, one always gets the same fractional uncertainty on qhat ! Surprised !?

WHDG GLV

What does “fragility” really mean? [if not in the statistical sense] Imagine a beam of partons aimed here… One could say that one has no sensitivity to the core density. Unless one has a model to relate the skin to the core density. This claim is somewhat odd since the “fragility” paper uses a uniform cylinder geometry ! Glauber Cylinder

Nagle Toy Energy Loss Model (NTELM) Glauber geometry for paths (L1 and L2) of partner partons. Constant dE/dx (varied in steps of +0.2 GeV/fm), L2 distribution biased by high p T trigger particle #1. Thus, perhaps I AA (away side per trigger) will be more sensitive that R AA.

STAR PRL 97 (2006)

I AA has a steeper dependence on  0 than R AA. Thus, if one had identical experimental uncertainties, then I AA should be more constraining.

I AA fit has “sharper  2 concavity” than R AA, thus more sensitive. Does it matter that the plot has a mis-label? Yes it does !  2 /d.o.f.

Private Communication Peter Jacobs Estimated Type C Uncertainty ~ 7%  0 = 2.9 +???  0 = ??? [I AA ] [R AA ] ZOWW Calculation STAR PRL 97 (2006)

In the ZOWW paper, they only use the D AuAu as the constraint ! d-Au Au-Au

What are the constraints? Note the extremely low p-value. However, if you only use D AuAu shouldn’t we include the NLO pQCD scale uncertainty? If this theory uncertainty is included then magenta constraint. Does the scale uncertainty cancel in I AuAu (or R AuAu )? I AA constraint D AA constraint D AA + scale uncertainty

Hydrodynamic Calculation Quantitative Comparison Statistical  2 ~ infinity Can we apply detailed quantitative analyses elsewhere? Can one eventually use viscous hydrodynamics to match the data and constrain the viscosities and relaxation times?

Q Summary Experimental observations…. - Well understood method for inclusion of uncertainties - Large p-p and d-Au data sets will improve I AA - Experiments need to quantify Type A, B, C uncertainties - Limits are getting close to Glauber limits (future improvements?) Theoretical observations…. - Need to resolve fundamental disconnect about whether perturbative calculations describe parton energy-loss - All calculations need realistic geometry, fluctuations, and running coupling

Some feel (strongly) that these comparisons are premature. If you feel this way, just consider storing the knowledge of this constraint method away until you believe it is useful !

Viscosity Quiz As one increases the strength of interactions (  ↑), the shear viscosity (  ) does what?  ↑,  increases ↑  ↑,  decreases ↓

Case I Thermal velocity << Flow velocity. No interactions (  =0) Larger interactions (  ↑) top region bottom region * In this case,  ↑   ↑

Case II Thermal velocity ~ Flow velocity No interactions (  =0) Larger interactions (  ↑) top region bottom region * In this case,  ↑   ↓

For a (nearly) ideal gas…. Kinetic Theory of Gases: Not only does viscosity decrease with stronger interactions, but Viscosity increases with larger temperature. Opposite to honey example…

Region of Brain containing higher intellect. Stimulate that part of your brain for this talk on quantitative statistics!