INTRODUCTION One of the major experimental challenges of the Compressed Baryonic Matter (CBM) experiment is the measurement of the D-meson hadronic decay.

Slides:



Advertisements
Similar presentations
CBM Calorimeter System CBM collaboration meeting, October 2008 I.Korolko(ITEP, Moscow)
Advertisements

From Quark to Jet: A Beautiful Journey Lecture 1 1 iCSC2014, Tyler Dorland, DESY From Quark to Jet: A Beautiful Journey Lecture 1 Beauty Physics, Tracking,
PHENIX Decadal Plan o Midterm upgrades until 2015 o Long term evolution after 2015 Dynamical origins of spin- dependent interactions New probes of longitudinal.
NA60 results on charm and intermediate mass dimuon production in In-In 158 GeV/A collisions R. Shahoyan, IST (Lisbon) on behalf of the NA60 collaboration.
Ultra Peripheral Collisions at RHIC Coherent Coupling Coherent Coupling to both nuclei: photon~Z 2, Pomeron~A 4/3 Small transverse momentum p t ~ 2h 
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
MC Study of B°  S Jianchun Wang Syracuse University BTeV meeting 06/27/01.
Feasibility Studies of Low-mass Mesons Identification for the CBM Project Radosław Karabowicz Hot Matter Physics Department, Institute of Physics, Jagiellonian.
Open Charm Everard CORDIER (Heidelberg) Grako meeting HD, April 28, 2006Everard Cordier.
D 0  K -,  + reconstruction with CBM STS detector I.Vassiliev (GSI) CBM collaboration meeting 06-Oct-04 Simulation tools (cbmroot) & geometry Signal.
Hadronic Resonances in Heavy-Ion Collisions at ALICE A.G. Knospe for the ALICE Collaboration The University of Texas at Austin 25 July 2013.
STS Simulations Anna Kotynia 15 th CBM Collaboration Meeting April , 2010, GSI 1.
Vector meson study for the CBM experiment at FAIR/GSI Anna Kiseleva GSI Germany, PNPI Russia   Motivation   The muon detection system of CBM   Vector.
C B M Di-electron background studies and first results using compact RICH CBM Collaboration Meeting, 27 September 2007, Dresden Di-electron background.
1 J.M. Heuser et al. CBM Silicon Tracker Requirements for the Silicon Tracking System of CBM Johann M. Heuser, M. Deveaux (GSI) C. Müntz, J. Stroth (University.
Di-electron pair reconstruction CBM Collaboration Meeting, 28 February 2008, GSI-Darmstadt Di-electron pair reconstruction Tetyana Galatyuk GSI-Darmstadt.
PHENIX Fig1. Phase diagram Subtracted background Subtracted background Red point : foreground Blue point : background Low-mass vector mesons (ω,ρ,φ) ~
HFT + TOF: Heavy Flavor Physics Yifei Zhang University of Science & Technology of China Lawrence Berkeley National Lab TOF Workshop, Hangzhou, April,
Lepton/Photon 2003, Batavia, IL, USA August 11 th – 16 th Measurement of  b Branching Ratios in Modes Containing a  c Why are the  b branching fractions.
D 0 Measurement in Cu+Cu Collisions at √s=200GeV at STAR using the Silicon Inner Tracker (SVT+SSD) Sarah LaPointe Wayne State University For the STAR Collaboration.
Ooo Performance simulation studies of a realistic model of the CBM Silicon Tracking System Silicon Tracking for CBM Reconstructed URQMD event: central.
Kinematics of  + n   p   0  p reaction Susumu Oda 2007/04/10-19.
Charmonium feasibility study F. Guber, E. Karpechev, A.Kurepin, A. Maevskaia Institute for Nuclear Research RAS, Moscow CBM collaboration meeting 11 February.
Background from pion beam interactions with LH2 & solid state targets J.Biernat/I.Koenig/J. Markert/W.Przygoda/P.Salabura.
Quest for omega mesons by their radiative decay mode in √s=200 GeV A+A collisions at RHIC-PHENIX ~Why is it “Quest”?~ Simulation Study Real Data Analysis.
G. Musulmanbekov, K. Gudima, D.Dryablov, V.Geger, E.Litvinenko, V.Voronyuk, M.Kapishin, A.Zinchenko, V.Vasendina Physics Priorities at NICA/MPD.
1 Behaviour of the Silicon Strip Detector modules for the Alice experiment: simulation and test with minimum ionizing particles Federica Benedosso Utrecht,
Standalone FLES Package for Event Reconstruction and Selection in CBM DPG Mainz, 21 March 2012 I. Kisel 1,2, I. Kulakov 1, M. Zyzak 1 (for the CBM.
Tracking, PID and primary vertex reconstruction in the ITS Elisabetta Crescio-INFN Torino.
Optimization of the Silicon Tracking System (STS) layout and beam pipe configuration for the CBM experiment. Andrey Chernogorov, Sergey Belogurov, ITEP,
V.Petracek TU Prague, UNI Heidelberg GSI Detection of D +/- hadronic 3-body decays in the CBM experiment ● D +/- K  B. R. 
Di-muon measurements in CBM experiment at FAIR Arun Prakash 1 Partha Pratim Bhadhuri 2 Subhasis Chattopadhyay 2 Bhartendu Kumar Singh 1 (On behalf of CBM.
1 Open charm simulations ( D +, D 0,  + c ) Sts geometry: 2MAPS +6strip (Strasbourg geo) or 2M2H4S (D+ and D - at 25AGeV); TOOLS: signal (D +  K - 
Study of exclusive radiative B decays with LHCb Galina Pakhlova, (ITEP, Moscow) for LHCb collaboration Advanced Study Institute “Physics at LHC”, LHC Praha-2003,
Performance simulations with a realistic model of the CBM Silicon Tracking System Silicon tracking for CBM Number of integration components Ladders106.
M. Muniruzzaman University of California Riverside For PHENIX Collaboration Reconstruction of  Mesons in K + K - Channel for Au-Au Collisions at  s NN.
Measurement of photons via conversion pairs with PHENIX at RHIC - Torsten Dahms - Stony Brook University HotQuarks 2006 – May 18, 2006.
Lukens - 1 Fermilab Seminar – July, 2011 Observation of the  b 0 Patrick T. Lukens Fermilab for the CDF Collaboration July 2011.
Feasibility of J/ψ studies by MPD detector Alla Maevskaya, Alexei Kurepin INR RAS Moscow NICA Roundtable Workshop 11 September 2009.
Muon detection in the CBM experiment at FAIR Andrey Lebedev 1,2 Claudia Höhne 1 Ivan Kisel 1 Anna Kiseleva 3 Gennady Ososkov 2 1 GSI Helmholtzzentrum für.
Muon detection in NA60  Experiment setup and operation principle  Coping with background R.Shahoyan, IST (Lisbon)
 production in p-A and In-In collisions Motivation Apparatus Collected data Results for     Ongoing work for    KK Alessandro De Falco – University.
20/12/2011Christina Anna Dritsa1 Design of the Micro Vertex Detector of the CBM experiment: Development of a detector response model and feasibility studies.
20/12/2011Christina Anna Dritsa1 The model: Input Charge generation The charge of the cluster is taken by random sampling of the experimental distribution.
D 0 reconstruction: 15 AGeV – 25 AGeV – 35 AGeV M.Deveaux, C.Dritsa, F.Rami IPHC Strasbourg / GSI Darmstadt Outline Motivation Simulation Tools Results.
JPS/DNPY. Akiba Single Electron Spectra from Au+Au collisions at RHIC Y. Akiba (KEK) for PHENIX Collaboration.
Open and Hidden Charm production in 920 GeV Proton-Nucleus Collisions Presented by Marko Starič for the Hera-B collaboration The.
29/08/2008ALICE Italia Analysis of the D + s  K + K - π + channel in the ALICE experiment Serhiy Senyukov Università & INFN di Torino (4050 m. asl)
High Density Matter and Searches for Huan Z. Huang Department of Physics and Astronomy University of California, Los Angeles The STAR Collaboration.
Cascade production – preliminary results Cascades  and  are reconstructed in decay chain   and  K, respectively. Plots in the first row show mass.
A.Kubarovsky, V.Popov Observation of narrow exotic baryon resonance by the SVD-2 experiment in pA interactions at 70 GeV/c HSQCD 21 May 2004 Observation.
4/12/05 -Xiaojian Zhang, 1 UIUC paper review Introduction to Bc Event selection The blind analysis The final result The systematic error.
January 13, 2004A. Cherlin1 Preliminary results from the 2000 run of CERES on low-mass e + e - pair production in Pb-Au collisions at 158 A GeV A. Cherlin.
Heavy stable-particle production in NC DIS with the ZEUS detector Takahiro Matsumoto, KEK For the ZEUS collaboration.
J/ψ simulations: background studies and first results using a compact RICH detector Alla Maevskaya INR RAS Moscow CBM Collaboration meeting September 2007.
P.F.Ermolov SVD-2 status and experimental program VHMP 16 April 2005 SVD-2 status and experimental program 1.SVD history 2.SVD-2 setup 3.Experiment characteristics.
Measurement of photons via conversion pairs with the PHENIX experiment at RHIC - Torsten Dahms - Master of Arts – Thesis Defense Stony Brook University.
07/05/20041 Pentaquark search at HERA-B A. Sbrizzi - NIKHEF Motivation Pentaquark:  + (1540)  pK 0 Conclusion.
3 May 2003, LHC2003 Symposium, FermiLab Tracking Performance in LHCb, Jeroen van Tilburg 1 Tracking performance in LHCb Tracking Performance Jeroen van.
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments.
Open and Hidden Beauty Production in 920 GeV p-N interactions Presented by Mauro Villa for the Hera-B collaboration 2002/3 data taking:
Quark Matter 2002, July 18-24, Nantes, France Dimuon Production from Au-Au Collisions at Ming Xiong Liu Los Alamos National Laboratory (for the PHENIX.
Non-Prompt J/ψ Measurements at STAR Zaochen Ye for the STAR Collaboration University of Illinois at Chicago The STAR Collaboration:
Fall DNP Meeting,  meson production in Au-Au and d-Au collision at \ /s NN = 200 GeV Dipali Pal Vanderbilt University (for the PHENIX collaboration)
Multi-Strange Hyperons Triggering at SIS 100
A heavy-ion experiment at the future facility at GSI
I. Vassiliev, V. Akishina, I.Kisel and
Reddy Pratap Gandrajula (University of Iowa) on behalf of CMS
Heavy Ion Physics at NICA Simulations G. Musulmanbekov, V
Perspectives on strangeness physics with the CBM experiment at FAIR
Presentation transcript:

INTRODUCTION One of the major experimental challenges of the Compressed Baryonic Matter (CBM) experiment is the measurement of the D-meson hadronic decay in the environment of a heavy-ion collision. Due to the extremely low D multiplicity close to threshold, background reduction exploiting the D 0 displaced vertex topology is mandatory. The online event selection, required to reduce the envisaged reaction rate of 10 MHz down to the archival rate of 25 kHz, necessitates fast and efficient track reconstruction algorithms and high resolution secondary vertex determination. Particular difficulties in recognizing the displaced vertex of the rare D meson decays are caused by: weak hyperon decays producing displaced vertices between the target and first silicon tracking station and small angle scattering in detectors and beam pipe limiting the accuracy of track reconstruction and vertexing. In this poster, strategies for background suppression in the open charm measurement are discussed. We concentrate on the D 0 meson which decays into K − and  + with a branching ratio of 3.8%. The D 0 mean life time is 123 µm/c. Particles containing heavy quarks like charm are produced in the early stage of the collision. At FAIR, open and hidden charm production will be studied at beam energies close to the kinematical threshold, and the production mechanisms of D will be sensitive to the conditions inside the early fireball. The anomalous suppression of charmonium due to screening effects in the Quark Gluon Plasma (QGP) was predicted to be an experimental signal of the QGP. Moreover, the effective masses of D-mesons - a bound state of a heavy charm quark and a light quark - are expected to be modified in dense matter similarly to those of kaons. Such a change would be reflected in the relative abundance of charmonium and D-mesons. D-mesons can be identified via their decay into kaons and pions (D 0  K -  +,). The experimental challenge is to measure the displaced vertex of kaon-pion pairs with an accuracy of better that 50 µm in order to suppress the large combinatorial background caused by promptly emitted protons, kaons and pions. Conclusions The MC simulations of D mesons decaying into the K  channel shows the feasibility of a D-mesons collection rate of about 1000 per day using a combination of MAPS, Hybrid(s) and strip STS stations in the CBM detector. The developed track finding and track fitting procedures in the inhomogeneous magnetic field allow to obtain an invariant mass resolution of 10 MeV. The resolution of the D 0 vertex is about 40 µm in the longitudinal direction. The efficiency of D 0 detection is 8.5%. The achieved signal to background ratio is about 3.4 in the ± 2  invariant mass region. Iouri Vassiliev and Peter Senger Gesellschaft für Schwerionenforschung, Darmstadt, Germany ( supported by EU FP6 Hadron Physics and INTAS) Physics topics and observables  In-medium modifications of hadrons  onset of chiral symmetry restoration at high  B measure: , ,   e + e - or/and  +  - open charm (D mesons and  c )  Indications for deconfinement at high  B  anomalous charmonium suppression ? measure: J/ , D  Strangeness in matter (strange matter?)  enhanced strangeness production ? measure: K, , , ,   Critical point  event-by-event fluctuations measure: K/  ratio target STS ( cm) TRDs (4, 6, 8 m) TOF (10 m) ECAL (12 m) RICH magnet Open charm detection. Strategy and results. STS – Silicon Tracking Stations. Figure 2. Silicon tracking stations. Tracking + vertexing challenge: up to 10MHz Au+Au reactions at 25 GeV/n, ~ 1000 charged particles/event, up to ~100 tracks/cm2/event, momentum measurement with resolution < 1%, secondary vertex reconst ruction (  40  m), high speed data acquisition and trigger system CBM detector Signal and background simulation Event reconstruction. Tracking performance. 900 tracks per event OPEN CHARM MEASUREMENT in Au + Au COLLISIONS at 25 AGeV in the EXPERIMENT The total reconstruction efficiency for all tracks is about 97%. The reconstruction efficiency clearly depends on the particle momentum. High energetic particles have efficiencies larger than 99%. Secondary tracks from D 0 decay have momentum larger than 1 GeV/c and, in addition, come from the target region, which can be used during the reconstruction, and, therefore they have an even higher efficiency of 99.90%. Most of the other secondary tracks are low energetic tracks and suffer significant multiple scattering in the detector material. The efficiency of low energetic tracks is about 90%. Particles with momentum lower than 200 MeV/c are mostly outside of the geometrical acceptance of the STS detector. There is no splitting of reconstructed tracks into short parts as it can bee seen from the negligible clone rate. The level of wrongly reconstructed tracks (ghost tracks) is less than 1% and these tracks are similar to tracks of short low energetic particles. In the simulations we used the STS detector of 7 stations positioned at 5, 10, 20, 40, 60, 80 and 100 cm from the target which is made of a 20 µm thick gold plate. The first 3 stations are placed in vacuum in order to decrease the effect of multiple scattering in the carbon beam tube on track parameters at the target. Station thikness depends of the detector type. Monte Carlo (MC) track impact points have been smeared with a Gaussian assuming typical values of s = 3 µm for the first two Monolithic Active Pixel Sensors (MAPS) stations close to the target. For hybrid pixel s = 10 µm and for the other four silicon strip stations 50 µm pitch was used by the strip hit producer. All detectors have realistic response ( fake hits, efficiency losses, pile-up etc.). The asymmetric magnetic field has been used to trace particles through the detector. Fifure 5. Track reconstruction efficiency versus momentum of particle in the STS detector. Figure 6. Track momentum resolution versus track momentum. The primary vertex was determined from all tracks reconstructed in the STS excluding those which formed well detached vertices like K 0 S and  decays. The Kalman filter based algorithm reconstructs the primary vertex with high accuracy. Figure 7. Residuals between reconstructed and MC z-positions of the primary verteses Strategy: The prime goal of the D 0 detection strategy is a suppression of the background by many orders of magnitude with, at the same time, achieving a maximum for the efficiency of the signal. For the background suppression several main cuts have been defined and applied in the following order: Single track parameters based cuts - χ 2 cut on the track impact parameter including a cut on upper and lower values; track momentum p-cut; track transverse momentum p t -cut; Multiple track parameters based cuts - χ 2 cut on the geometrical fit of the two-track secondary vertex; K S and  suppression; cut on z-position of the secondary vertex; cut on reconstructed D 0 momentum pointing to the primary vertex (safety); χ 2 cut on the topology of the primary and secondary vertex fit. Figure 1. CBM detector Figure 3. UrQMD event Au+Au at 25 AGeV Track trajectories inside the STS detector calculated by GEANT3 Figure 4. The same event. STS Hits by hitsprodu- sers. Blue hits are from MAPS detectors, green – Hybrid pixels, red – strip detectors. K S and  suppression Figure 10. Left part: reconstructed secondary vertices for the background (black line) and for the signal (red line). Right part: the ratio S/  (S+B) with a maximum at z = 250 µm. Figure 12. The Armenteros-Podolanski plot: transverse momentum p t of the oppositely charged decay products versus their asymmetry in longitudinal momentum. Figure 11. Z-vertex resolution (  = 38  m) after the geometric and topologic fit for D 0  K − +  + recon- struction is the key point to achieve maximum of efficiency (  = 8.5%). NOT proton Figure 8. χ2 cut on the track impact parameter Figure 9. single track transverse momentum pt -cut An optimization of the cuts has been achieved by maximizing the ratio S/  B if the background is dominating, or otherwise maximizing S/  (S+B). S is the number of accepted signal events in the Monte-Carlo D 0  K − +  + sample and B is the number of background UrQMD events, observed in the whole invariant mass region. As an example, the left figure shows the transverse momentum distribution for the background events as black line and for the signal K − from the D 0 decay as red line. The right part of the figure gives the ratio S/  (S+B) and the achieved threshold (vertical blue line) at p t = 0.5 GeV/c, where significance function has its maximum. More than 90% of the reconstructed tracks are primary, therefore, the χ 2 >3.5(  ) distance cut between the primary vertex and the track impact point to the target plane is extremely selective and effective. Background rejection factor is more than 25, signal efficiency about 65%. Background study with "super- event" technique. S/B ratio. The background origin study shows that 76% of back- ground events were produced with proton tracks. Such type of backgrounds was elimina- ted by proton identification technique using TOF sub- detector. protons not protons Figure 13: Invariant mass simulated signal plus background spectrum. The D 0 peak is clearly visible. Estimated data taking time is about 4 months at 0.1 MHz interaction rate. Signal to background ratio is 3.4 Clusters of the events shaped according to the kinematics of K 0 S  +  - and   p  - decays are clearly visible. The cut p t *cτ > 0.23 GeV/c*cm was applied to reduce the background from K 0 S and  decays, where p t is the transverse momentum relative the K 0 S or  line-of-flight and τ is their proper lifetime. Excluding K 0 S and  decay products from the final invariant mass spectrum decreases the hyperons decay depending background by the factor of two.