А. Тумасян научный руководитель А. Сирунян. Jet algorithms development perspectives within HCAL upgrade.

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Presentation transcript:

А. Тумасян научный руководитель А. Сирунян

Jet algorithms development perspectives within HCAL upgrade

Old segmentation (HE) 2 depth scheme HPD (Hybride Photo-Diodes)

New segmentation (HE) 5 depth scheme SiPM (Silicon Photomultipliers, Hamamatsu, Ketek, FBK)

1. Standard Reconstruction (identification of the main towers of energy) 2. Secondary Reconstruction (ReReconstruction) by towers depth. Suggested Algorithm 1. Identification of main towers Light quark jet: E T = 50 GeV; η = 2.4

1.Estimation of energy for each cell: Е x,y,d 2.Looking for the path for cells from the last depth to the main towers: Δd=0 or Δd= -1 ; at only Δd=0 E cell < E neighboring_cell 3.Checking for ΔR<R 0 (preliminary estimated R 0 = at |η|<2.4) 4.Selected cells combined for secondary reconstruction 2. ReReconstruction 1.investigation and development of active cells selection (MC) 2.Investigation of EM and Hadron showers characteristics depending on the energy and the composite particles of jet (MC + BeamTest) 3.Investigation of Magnetic field influence with the new segmentation (MC) 4.Investigation of boundary effects influence on the showers with the new segmentation (MC + BeamTest) etc “Mini” tasks

TTH process at 8 TeV

Associated Higgs production with Top quarks σ ≈ 0.12 pb at 8 TeV L=19.6 fb -1

TTH dilepton channel H → branching ~ 68% W → l ν branching ~ 21% ( l = e,μ) branching ~ 3 % σ ≈ 3.5 fb ~ 70 Events

Kinematic Distributions of Objects B-jets from H decay B-jets from Top decay

Event Selection Require: A pair of oppositely charged, isolated, energetic leptons ( 2 electrons, 2 muons or 1 electron and 1 muon ) p t L 1 >20 GeV, p t L 2 >10 GeV, |η|<2.5 – For electrons, |ηL 1 |<2.1, |ηL 2 |<2.4 – For muons 3 or more jets, with at least two of the jets being b- tagged: p t >30 GeV, |η|< 2.5 – anti-k T algorithm (R=0.5) b-jets identification – Combined Secondary Vertex (CSV) algorithm CMS PAS HIG

CMS results as of 2013/07/26 CMS PAS HIG

Higgs mass reconstruction LO scenario: 4 jets approximately similar by kinematic characteristics i.e. 6 possible combinations for jet-jet invariant mass. NLO scenario: 4 LO-jets + 1(2,3,…) additional jets i.e. 10(15,21,…) possible combinations for jet-jet invariant mass. Needs additional conditions for identification of jets from H decay.

Additional Conditions Lepton-Jet correlation: True pair Wrong pairs with Jets from Higgs Wrong pair with Jet from Top (AntiPair)

Lepton-jet correlation Entries True pair Wrong pairs with Jet from Higgs Wrong pair with Jet from Top (Antipair) Normalized distributions:

Distribution functions Jet_1 {L1_pair; L1_AntiPair; L1_Higgs_b1; L1_Higgs_b2} V1 V2 V3 L1_pair = L1_AntiPair = L1_Higgs_b1 = M inv (L1+Jet_1) V1 V2 V3 M inv (L1+Jet_2) Jet_2 {L1_pair; L1_AntiPair; L1_Higgs_b1; L1_Higgs_b2} Jet_3 {L1_pair; L1_AntiPair; L1_Higgs_b1; L1_Higgs_b2} Jet_4 {L1_pair; L1_AntiPair; L1_Higgs_b1; L1_Higgs_b2}

Distribution functions First step: Jet(i) {L1_pair; L1_AntiPair; L1_Higgs_b1; L1_Higgs_b2} (i=1,2,3,4) Where L1_pair = L1_pair_Minv x L2_AntiPair_Minv x L1_pair_Dr x L2_AntiPair_Dr x L1_AntiPair = L1_AntiPair_Minv x L2_pair_Minv x L1_AntiPair_Dr x L2_pair_Dr x L1_Higgs_b1 = L1_Higgs_b1_Minv x L2_Higgs_b1_Minv x L1_AntiPair_Dr x x L1_Higgs_b1_Dr x L2_Higgs_b1_Dr x L1_Higgs_b2 = L1_Higgs_b1 S – normalizing factor for L1_pair + L1_AntiPair + L1_Higgs_b1 + L1_Higgs_b2 = 1

Distribution functions: First Step Ideal scenario L1_pair L2_pair Higgs_b Higgs_b Usual scenario Identification of one of b-jets from H decay with accuracy 68 % (Jet with highest Higgs_b). Possible increase to 74 % Identification of pair of b-jets from H decay with accuracy 30 % (Tow Jets with highest Higgs_b factors).

Distribution functions: Second Step Remove founded jet from Higgs decay from the list of jets and than normalizing ather jets functions : Jet_1 {L1_pair; L1_AntiPair; L1_Higgs_b1; 0} Jet_2 {L1_pair; L1_AntiPair; L1_Higgs_b1; 0} Jet_3 {L1_pair; L1_AntiPair; L1_Higgs_b1; 0} Jet_4 = 0 – Dr H_Jet1 & H_Jet2 – Dr H_Jet & T_Jet

Distribution functions: Second Step Ideal scenario L1_pair L2_pair Higgs_b Usual scenario 1 Identification of one of b-jets from Top decay with accuracy 82 % Usual scenario 2

Distribution functions: Third Step Remove founded jet from Top from the list of jets and than normalizing other jets functions : Jet_1 = 0 Jet_2 {0; L1_AntiPair; L1_Higgs_b1; 0} Jet_3 {0; L1_AntiPair; L1_Higgs_b1; 0} Jet_4 = 0 – Dr H_Jet & T_Jet – Dr T_Jet1 & T_Jet2

L2_pair Higgs_b Usual scenario Distribution functions: Third Step Identification of second b-jets from H decay with accuracy 64 % (Jet with highest Higgs_b). Total efficiency for selection of pair of jets from Higgs decay 36%. Possible increase to 40 %.

Invariant mass of selected jets – Selected Jets – Random Jets Generation Level Reconstruction – Selected Jets – Random Jets

Plans Check Algorithm on background process Check possibilities of Lepton – Jet charge correlation Check possibilities of NLO-Jet – LO-Jet correlation Work on MC with 14 TeV

Thank You

Kinematic Distributions of Objects Charged Leptons (e, μ ) form W decay Total missing transverse momentum: p t ( P ν1 + P ν1 )

Kinematic Distributions of Objects NLO jet wit highest transverse momentum Number of jets with p t >20 GeV/c With ~ 63%, for NLO jet with highest p t : p t > 20 GeV, |η|<2.5, and p t is higher than pt of one LO jet. In general NLO jets produced from light quarks and gluons