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A.Belogianni, P.Ganoti, M.Spyropoulou-Stassinaki University of Athens for the ALICE collaboration

Comparison of Kaon identification through central barrel detectors signals, with the kink topology in ALICE experiment at CERN. A.Belogianni, P.Ganoti, M.Spyropoulou-Stassinaki University of Athens for the ALICE collaboration. Outline. The ALICE experiment at CERN : physics goals

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A.Belogianni, P.Ganoti, M.Spyropoulou-Stassinaki University of Athens for the ALICE collaboration

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  1. Comparison of Kaon identification through central barrel detectors signals, with the kink topology in ALICE experiment at CERN A.Belogianni, P.Ganoti, M.Spyropoulou-Stassinaki University of Athens for the ALICE collaboration P.Ganoti@HSSHEP2008

  2. Outline • The ALICE experiment at CERN : physics goals • Kaon ID and spectra using the central barrel detectors signals • Kaon ID and spectra using the “kink” topology • Comparison of the two methods • Future plans P.Ganoti@HSSHEP2008

  3. HMPID PID (RICH) @ high pt TOF PID TRD Electron ID PMD g multiplicity TPC Tracking, dEdx ITS Low pt tracking Vertexing MUON m-pairs PHOS g,p0 The ALICE detector P.Ganoti@HSSHEP2008

  4. Physics Goals Study of the QGP which is predicted by QCD at extreme conditions of high energy density, achieved in relativistic heavy ion collisions. Signals of QGP may remain in the bulk properties of the collision, and simultaneous observations of multiple QGP signals in the final state would serve as a strong evidence of QGP formation. • The bulk properties include: • strangeness • baryon production rates • collective transverse radial flow All these can be studied via particle spectra The study of particle yields and spectra in low, intermediate and hard pT regions is essential in order to distinguish among the various models which aim to describe the particle production. • Test of various models where it is argued that • particle multiplicity density per transverse area of interaction measuresthe initial gluon density • particle ratios measurethe chemical freeze-out conditions • transverse momentum spectra measurethe kinetic freeze-out conditions • resonances probe the time interval between chemical and kinetic freeze-out P.Ganoti@HSSHEP2008

  5. time Hadronization: Hadrons are formed from quarks space Rescattering Signal lost π K- Λ(1520) p Pb-Pb Κ- K- Λ(1520) p p Chemical freeze-out: end of inelastic interactions (particle yields) Regeneration Thermal freeze-out: end of elastic interactions (particle spectra) • Resonance Life-time [fm/c] • r 1.3 • ++ 1.7 • f0(980) 2.6 • K*(892) 4.0 • S(1385) 5.7 • L(1520) 13 • ω(783) 23 • (1020) 45 Resonances may probe the timescale between chemical and kinetic freeze-out Signal measured P.Ganoti@HSSHEP2008

  6. ALICE Particle Identification capabilities p/K TPC + ITS (dE/dx) K/p e /p ALICE uses ~ all known techniques! p/K e /p TOF K/p p/K HMPID (RICH) K/p TRDe /p PHOSg /p0 1 10 100 p (GeV/c) Particle ID from low to high momenta.ALICE can combine the single detector PID information. 0 1 2 3 4 5 p (GeV/c) P.Ganoti@HSSHEP2008

  7. K/π separation from kinematics Kaon is the lightest strange hadron, with a high branching ratio to the muonic decay channel ( 63,26%) and large geometrical acceptance in the ALICE TPC. This decay can be measured as a “kink”. The reconstruction of the kink topology (secondary vertex with mother and daughter tracks of the same sign) is a key technique for identifying kaons over a momentum range wider than that achieved by combining PID signals from different detectors. Background of kinks in kaon study are the kinks from pion decays, hadronic interactions in the TPC gas and combinatorics. The kink topology is important in both Pb-Pb collisions and pp interactions. K / π identification-separation is based on the different kinematics of their decays to μ+νμ. P.Ganoti@HSSHEP2008

  8. Branching Ratios K  μνμ 63.43% Κ  ππ0 21.13% Κ eπ0νe 4.87% kinks Κ  μπ0νμ 3.27% Κ  ππ0π0 1.73% Κ  πππ 5.58%3 prong decay π  μνμ 99% P.Ganoti@HSSHEP2008

  9. red : Kμ+νμ blue: πμ+νμ Mother Momentum (GeV/c) Variables like the lab decay angle at a given momentum of the mother particle (K or π) and the qT of the produced daughter muon may be used for K/π separation. The momentum of the daughter muon in the K/π rest frame is 236 and 30 MeV/c respectively. This is the maximum qTvalue of the muon in the Lab frame. P.Ganoti@HSSHEP2008

  10. Event sample and track selection 1.16 M simulated pp events (s=14 TeV), generated in the frame of the ALICE Physics Data Challenge 2006 (PDC06) have been analyzed at CERN Analysis Facility (CAF). • Track selection cuts : • Track quality cuts • pT > 0.3GeV/c • Cut of 3σ on the impact parameter to select primary tracks P.Ganoti@HSSHEP2008

  11. Combined PID from TPC and TOF When several detectors are capable of separating the particle types, their contributions are accumulated with proper weights, thus providing an improved combined PID. In the case of Kaons, combining the PID signals from TPC and TOF : Kaon momentum spectrum (TPC and TOF) P.Ganoti@HSSHEP2008

  12. PID using the kink topology • Next step : try to include the kinks in the PID procedure. • Study of the kink sample • - Each reconstructed track is checked whether it is a kink or no. • - If yes, the appropriate cuts are applied in order to obtain a clean sample of kaons. • Cuts to select Kaon kinks: • The kink angle must be greater than the maximum decay angle of the decay πμνμbut less than the corresponding angle for the decay Kμνμ. • The qT > 50MeV/c • The kink vertex is between 110 cm and 230 cm (in the active volume of the TPC). • |η| < 1.1 • The invariant mass considering the daughter as a muon is less than 0.6 GeV/c2. P.Ganoti@HSSHEP2008

  13. This procedure, after being implemented in reconstructed tracks, will either adds kaons in the corresponding sample, not recognized by the combined PID procedure, or correct those tracks for which the combined PID procedure has assigned wrong particle type. P.Ganoti@HSSHEP2008

  14. The kink method for kaon identification looks very promising at intermediatemomentum regions (p > 2 - 6 GeV/c) after accumulating enough statistics. P.Ganoti@HSSHEP2008

  15. In numbers... In 1.16 M events we have (0 - 7 GeV/c): 655687generated kaons in the detectors acceptance 336418 are recognized via combined PID From the sample of tracks recognized as kinks: 70824are true kaons 31597 are recognized via combined PID 69728 are recognized by applying the kink cuts P.Ganoti@HSSHEP2008

  16. Future Plans • Analysis of the new simulated dataset (PDC07) available where ITS and TRD are added to the combined PID procedure. • Implement the kink analysis in the Λ(1520) study (the group has already published results with the standard PID procedure). An increase of the signal of ~16% is expected from preliminary calculations. • Study of other observables concerning Resonances Study • - Transverse momentum and transverse mass spectra • - Particle Ratios (Resonant over no Resonant particles) P.Ganoti@HSSHEP2008

  17. For a detailed description • Estimation of Kaon and Pion Yields from the decay Kaon/pion to muon + muon neutrino kink topolgy, in one year of Pb-Pb for ALICE ALICE-INT-2006-012 • Study of Λ (1520) resonance in pp interactions at ALICE and K identification from its decay in muon+neutrino http://www.ct.infn.it/SPHIC06/ • Study of Λ(1520) production in pp interactions at 14 TeV with the ALICE detector J. Phys. G: Nucl. Part. Phys. 35 (2008) 401 – 407 • Talks in collaboration meetings can be found at http://aliceinfo.cern.ch/Collaboration/Meetings/index.html (ALICE Weeks and Physics Working Group 2 – Soft Physics) P.Ganoti@HSSHEP2008

  18. Backup P.Ganoti@HSSHEP2008

  19. Combined PID procedure Having to combine the PID information coming from different detecting systems implies dealing, in some common way with PID signals of a different nature. The situation is additionally complicated by the amount of data to be processed. Thus the particle identification procedure should be as much as possible automatic and should also be capable of combining signals distributed according to quite different density functions. Combining PID signals in a Bayesian way satisfies all these requirements. First, the Bayesian PID with a single detector is taken from the detectors response functions. Then, the method is extended for combining PID measurements from several detectors, thus considering the whole system of N contributing detectors as a single “super-detector”. P.Ganoti@HSSHEP2008

  20. P.Ganoti@HSSHEP2008

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