V. Pozdnyakov Direct photon and photon-jet measurement capability of the ATLAS experiment at the LHC Valery Pozdnyakov (JINR, Dubna) on behalf of the HI.

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Presentation transcript:

V. Pozdnyakov Direct photon and photon-jet measurement capability of the ATLAS experiment at the LHC Valery Pozdnyakov (JINR, Dubna) on behalf of the HI ATLAS collaboration

V. Pozdnyakov Direct  and  -jet measurement capability of the ATLAS 2 Longitudinally segmented calorimeters provide jets and neutral clusters for |  |<5 Photons are identified for |  |<2.4 with 3 layers strips  = Good quality as for energy and spatial resolutions and for linearity (below 0.5% up to 300 GeV) as well jet reconstruction with calorimeters covered full  and large  domains first finely segmented layer of LAr EM calorimeter together with ID provides photon identification & isolation, other layers also well segmented EM calorimeters of the ATLAS detector 

V. Pozdnyakov Direct photons Direct  and  -jet measurement capability of the ATLAS 3 prompt photons detected at hadron colliders provide a tool to test pQCD and to constrain parton distribution function High transverse momenta photons signal for many signatures: Higgs via  decays, SUSY and exotic particles searches In case of heavy ion collisions at the LHC, analysis of jets tagged by prompt  are a direct tool to learn on jet energy loss in formed QGP HI runs will begin next month with PbPb collisions at √s NN =2.75 TeV with 4 weeks for physics at luminosity starting at toward to max rate of 160 Hz and expected integral luminosity on level of 3  b -1 Event rates of process (  around 10 nb) available in the run are expected as few thousands for photon transverse energy above 30 GeV with statistically significant tail around 100 GeV

V. Pozdnyakov Direct photons and  -tagged jets Direct  and  -jet measurement capability of the ATLAS 4 Problems to extract prompt photons are caused by presence of huge background coming from  decays of light mesons (mainly,  0 and  ) and photons produced during fragmentation Ability of the ATLAS setup to distinguish direct photons from decayed ones is a fine longitudinal segmentation in first layer of EM calorimeter

V. Pozdnyakov Direct  and  -jet measurement capability of the ATLAS 5 Direct photons identification performance HIJING events as a background with PYTHIA embedded signal events show that in domain of (40-50) GeV the neutral hadron spectrum falls below direct. S/B ratio depends on choice of R AA, for instance, S/B=5 (R AA =0.2) for 100 GeV photons Expected photon reconstruction and identification efficiency vs true photon transverse energy, as obtained from simulated prompt photons in  -jet events with different selections

V. Pozdnyakov  -tagged jets Direct  and  -jet measurement capability of the ATLAS 6 Medium of heavy ion collisions is transparent (in term of strong interactions) to photons so produced jets can be calibrated with photon measured Jet energy scale is derived from photon measurement, appropriate jet algorithm to study internal structure of jets produced in heavy ions - jet energy spectra and resolution, jet shapes, jet quenching etc. Event-by-event jets in ATLAS are reconstructed over |  |<5 domain with usage of anti-k T jet searching algorithm Another feature, (mostly) back- to-back topology, of  -jet system constrains event selection and is able to suppress a background in jet search algorithm and to increase efficiency as well

V. Pozdnyakov Jets with ATLAS Direct  and  -jet measurement capability of the ATLAS 7 The uncorrected jet shape measured for all jets with p T > 60 GeV, using calorimeter clusters for anti-k T jets with R=0.6 jet axis integral jet shape in proton- proton But heavy ion collisions include together with hard-scattered jets a large, fluctuating background coming from underlying interactions A procedure has to be developed in order to take background into account when searching for a jet and to reject fakes due to sizeable fluctuations in underlying interactions Also the background will influence jet reconstruction efficiency as on energy and spatial resolutions of calorimeters and on tracking devices as well

V. Pozdnyakov EM calorimeters from pp to HI Direct  and  -jet measurement capability of the ATLAS 8 ATLAS Preliminary PbPb, b=2fm, dN/d  ~2700 pp truth jet E T (GeV) Permanent and fluctuated UE background leads to “noise” term on level of 15 GeV for most central events More accurate calculations have to be done when first data resolve problem on multiplicities vs centrality and simulation is then tuned noise term truth jet E T (GeV)

V. Pozdnyakov Jet reconstruction Direct  and  -jet measurement capability of the ATLAS 9 Jet reconstruction efficiency shows stability under accompaniment of underlying interactions with different centralities of HI collisions Energy deposition in 0.1 (Δ  )  0.1 (Δη) towers of electromagnetic and hadron calorimeters

V. Pozdnyakov Jet shape resolution Direct  and  -jet measurement capability of the ATLAS 10 ATLAS Preliminary Simulation of central PbPb collisions ○ - truth ● - reconstructed ▼ - background (jet E T GeV) Reconstructed ○ - unquenched ● - quenched (jet E T = GeV) ATLAS Preliminary Quenching leads to enhancement of small transverse momentum particles (low z) while higher z particles are suppressed ATLAS Preliminary ATLAS is able to resolve different jet shapes

V. Pozdnyakov Direct  and  -jet measurement capability of the ATLAS 11

V. Pozdnyakov Direct  and  -jet measurement capability of the ATLAS 12 EM calorimeters and ID of the ATLAS detector