First analysis of Long-Range (Forward-Backward) pt and multiplicity correlations in ALICE in pp collisions at 900 GeV G.Feofilov, A.Ivanov, V.Vechernin (for the ALICE Collaboration) V. Fock Institute for Physics Saint-Petersburg State University The 5th International Nordic "LHC and Beyond" Workshop "The First LHC Physics and Major Spin-Offs", 8-11 June
Goal: We continue studies of Long-range correlations proposed for ALICE[1] “ Forward-Backward ” correlations (“FB”) here refer to the limited rapidity coverage of the ALICE central barrel Measurement of the correlation coefficients by scanning in separated pseudorapidity intervals is a model independent method to reveal the presence of the collective effects, relevant to the early stages of hadronic matter formation both in pp and AA collisions [1] ALICE collaboration “ALICE: Physics Performance Report, Volume II”, J. Phys. G: Nucl. Part. Phys. 32 (2006) (Section: Long- range correlations, p.1749) 2
Outline “ Forward-Backward ” correlations (FB) Comparison of simulated and reconstructed PYTHIA data in the framework of ALICE experimental setup in terms of FB correlations FB correlations analysis Conclusions and outlook 3
For each event: 1)the event mean multiplicity in BACKWARD or FORWARD rapidity windows: 2) the event mean transverse momentum for BACKWARD and FORWARD rapidity windows: Event-by-event: We define the mean value of the observable in one rapidity window at the given value of another observable in the second window(regression), for example: “BACWARD” “FORWARD” Forward-Backward /Long-Range CORRELATIONS: 2 rapidity intervals separated by gap 4
“BACWARD” “FORWARD” Types of correlations: 1) -n - the correlation between the event mean charged particle multiplicity in one rapidity interval and the charged particle multiplicity in another interval 2) -n - the correlation between the event mean transverse momentum in one rapidity interval and the charged particle multiplicity in another interval. 3) -pt - the correlation between the event mean transverse momentum obtained in the backward (B) rapidity window and the event mean transverse momentum in the forward (F) rapidity window 5 Forward-Backward /Long-Range CORRELATIONS: 2 rapidity intervals separated by gap
Usually: Correlation coefficients are defined – in the region where some linearity exists - for the absolute values of observables as: Correlation coefficients (for the normalized observables): Here the strength of the multiplicity correlation is measured by the coefficient
Long-Range correlations dependence on η gap and on η window size windows Analysis General: study of -n, -n and -pt correlation coefficient dependences on η windows size and positions. Now: only ITS+TPC data Plans: to include FMD as multiplicity detector for -n and -n correlations.
Comparison of simulated and reconstructed PYTHIA data in the framework of ALICE experimental setup in terms of FB correlations 8 Comparison of Kinematics and ESD in Pythia LHC10a8 production in terms of FB correlations: -n and -n correlation functions in relative observables. Forward η window (-0.8 – 0.0) Backward η window (0.0 – 0.8) Pt cut (0.3 < Pt < 1.5 ), Kinematics events are triggered together with ESDs. N-N correlationPt-N correlation
The 1 st analysis of BF -n and -n correlations in “B”{-0.8, 0.0}, “F”{0.0, 0.8}. 9 pp 900GeV run pass 5 ESDs : Global tracking, TPC clusters > 80, Sigma < 3.5. No kink daughters. normalized values of observables p_t cut: (0.3 < P_t < 1.5 ) A.U.
-n “FB” correlation in narrow (0.2) windows, ƞ gap dependence 10 A.U.
-n FB correlation in narrow (0.2) windows, ƞ gap dependence 11 A.U.
-n and -n FB correlations in ƞ gap dependence 12 Correlation coefficient dependence on ƞ gap between window centers and windows size (δ ƞ ) A.U.
-n and -n FB correlations in ƞ gap dependence 13 Correlation coefficient dependence on ƞ gap between window centers. Windows in ƞ : of 0.2 units. Data in comparison with results of Pythia D6T LHC10a8 N-N correlations Pt-N correlations A.U.
Conclusions 14 First LRC analysis is completed on pp 900GeV ALICE ITS+TPC data The good agreement of simulated and reconstructed PYTHIA data in the framework of ALICE experimental setup shows that the use of the relative observables for selected pt region (0.3 GeV/c < pt < 1.5 GeV/c) allows one to obtain the unbiased correlation functions without the additional systematic corrections. Noticeable FB/Long-Range -n, -n and -pt correlations are observed in pp collisions at 900 GeV with the rapidity gap extented up to 1.4 units of pseudorapidity We see also a difference between Pythia D6T and the data
Thanks for attention 15
Backup
Long-Range correlations dependence on ETA gap and window size ETA windows Azimuthal windows 1.Jet dependence analysis 2.Event asymmetry study 3.May be sensible to flow Main analysis: Study of -n and -n and -p_t correlation coefficient dependences on windows size and positions. Now only in TPC acceptance, plans for FMD as multiplicity detector for -n and -n.
LONG RANGE CORRELATIONS: Absolute and relative observables 18 “BACWARD” “FORWARD” EVERYTHING IS UNCORRECTED Absolute observablesRelative observables