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Z   update and FDR2

Stay updated on Z→ττ lepton-hadron analysis with insights from a recent data exercise, using sophisticated techniques to fine-tune EtMiss and Tau-jet scales. Processed using trigger-aware methods without relying on Monte Carlo data. Results and strategies are discussed.

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Z   update and FDR2

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  1. Z update and FDR2 D. Cavalli, W. Davey, C. Pizio, S.Resconi

  2. Z    lepton-hadron analysis • MS channel with leptons, t, ETMiss • s(Z   ) =1641pb • in 100pb-1 expect: ~ 70000 Z   lepton-hadron • (~ 7000 with pTe or pTmu> 15GeV) • - Select Z  lep-had, severe cuts applied to have low background level • - Signal events have opposite sign lepton and t-jet (OS events) • Background events (QCD,Wmn,Wen,tt,Zee,Zmm,WW) have similar • probability to be OS or SS. Estimate backgd from SS events and subtract • Use the reconstructed invariant mass to tune the EtMiss scale in situ • Use from the reconstructed visible mass to tune the Tau-jet scale • Use Full simulated events (12.0.6) for Signal and backgds (also Atlfast QCD!) • Trigger aware Analysis: Single lepton Trigger events (EF6mu, EFe10i) • Analisys performed as in real life: not using MC information

  3. Z   in first data Very short update: • CSC Analysis (data from rel. 12) redone not using b-tagging • Restart with data from rel.14 • from AOD/TauDPD (using ARAna tool ) • check Tau-merged container (TauRec/Tau1p3p) • Check subtraction of background using SS events • In W+jets events OS > SS  use data to find the OS/SS ratio and correct • very first results from FDR2 data

  4. Z   Invariant mass results (no b-tagging) Invariant mass Signal + Backgds In 100 pb -1 in the mass bin (66-116 GeV) 237 signal evts (209 with b-tagging) 32 backgds evts OS (B ≈ 13% S) (16) 28 backgds evts SS (26) S/√B=42 Ztt: OS 237+/-8, SS 11+/-2 Jets: OS 20+/-11, SS 13+/-9 Wmn: OS 6+/-1, SS 2+/-1 Wen: OS 2+/-1, SS 1+/-1 tt: OS 3+/-2, SS 0 Zee: OS 1+/1, SS 1+/1 Zmm: OS 0, SS 0 Opposite Sign – Same Sign • In the first data the b-tagging could be not robust enough - invariant mass analysis still under control - visible mass more critical (B increases from 20 to 36%)

  5. Z   fromFDR2 data Our strategy for FDR2 exercise: • Run TauDPDMaker with Ganga on FDR2 AOD (POOL) data distributed on the 4 T2 IT sites: • to get DPD1 (POOL) and DPD3 (ROOT) data at MI T2 • Run ARana on same AOD and DPD1 events in MI T2: • to check results between the 2 different formats • Run ARana on increased statistics of DPD1 events in MI T2: • to get final results/plots • Run on Egamma and Muon streams

  6. FDR2 exercise: technical issuesused Atlas release 14.1.0 What did NOT work  • Some time spent to succeed in compiling ARana (on MI UI) : • needed 20+ tags to compile ARana (~ 4h compilation time !!) • RFIO problem to read data from SE with ROOT 5.18.00 : • Savannah bug posted by F. Prelz (https://savannah.cern.ch/bugs/?37691) • TauDPDMaker problem in producing DPD3(ROOT) from DPD1(POOL) : • problem reported to hn-atlas-tauwg, D. Cote is investigating • it works commenting tau What worked  • Run TauDPDMaker with Ganga (on lxplus), now it works also on MI UI: • Initial Ganga script thanks to Leonardo • sent jobs to the 4 IT T2 sites: • running on Egamma/Muon AOD streams • storing the output DPD1 to Milan SE • This is one of the first attempt to run TauDPDMaker on the Grid !! • Run ARana (on MI UI) on input FDR2 AOD and DPD1: • Modified version by Will to switch between different data formats (AOD, DPD1(3), CBNT) • It worked just commenting MCTruth

  7. ESD/AOD (pool.root) Primary DPDs (pool.root) Primary DPDs (pool.root) Secondary DPDs (pool.root) Tertiary DPDs (root ntuple) FDR2 exercise: DPD from TauDPDMaker • Official DPDs for Tau and EtMiss performance & trigger groups: • DPD_TAUWZ, DPD_TAUDIJETS • DPD is skimmed (excluding entire events), slimmed (excluding some objects), thinned (excluding part of objects) AOD Selection for DPD_TAUWZ Zll, Wl & Z/Wjj: • MET > 10 (30) GeV for Z (W) • SumET < 400 GeV • Z/Wlep: at least 2 (1) lepton(s) in the event for Z (W) • pT > 15 GeV,  < 2.5 • Z/Wjets: at least 2 Cone4H1TopoParticleJets • pT > 15 GeV,  < 2.5 Skim eff. and evt size for DPD_TAUWZ Zll, Wl & Z/Wjj: • skim eff % ~ 40 % • DPD file size ~ 1/8 -1/10 AOD file size • DPD proc. time ~ 1/3 AOD proc. Time

  8. FDR2 exercise: AOD vs DPD_TAUWZ Comparison between the AOD sample in MI: fdr08_run2.0052290(3).physics_Egamma(Muon).merge.AOD.*** and the DPD_TAUWZ sample produced with Ganga on the SAME events =AOD =DPD cuts applied: pT(e,μ) > 15 GeV, (e, μ) < 2.5 Id/isol

  9. FDR2 exercise: AOD vs DPD_TAUWZ AOD SumET EtMiss DPD

  10. FDR2 exercise: AOD vs DPD_TAUWZ Obtained same number of events (last plot) after having applied the same cuts on both AOD and DPD evt samples: - 1 id ele, 1 id. , (pT, h cuts, Id), SumET 400, MET  20, mT(lept,EtMiss)<50 =AOD =DPD Same distribution !

  11. FDR2 exercise: analysis on DPD_TAUWZ size: 24Gb CPU time: 3h/300kevts (1/2 of statist. at 1032) • Final analysis and plots on an increased statistics of DPD_TAUWZ: • fdr08_run2.0052290(3).physics_Egamma(Muon).merge.DPD_TAUWZ.*** • fdr08_run2.0052280(3).physics_Egamma(Muon).merge.DPD_TAUWZ.*** • To increase statistics used both ideal and misaligned data 4 runs correspond to an integrated L = 1.44 pb-1 (0.36 pb-1 each) • Z  x-section = 1669 pb, expected 2400 Z , 23 OS (5 SS) events after all cuts in mass bin. Invariant  mass OS and SS: All cuts Invariant  mass mT(lept,EtMiss)

  12. Secondary DPDs (pool.root) FDR2 exercise: Conclusions First realistic test of the analysis model and tools: Standard Reco ARana TauDPDMaker ESD/AOD (pool.root) Analisys Final plots (histo.root) and numbers Primary DPDs (pool.root) Tertiary DPDs (root ntuple)

  13. FDR2 exercise: Conclusions First realistic test of the analysis model and tools: • Send Ganga jobs to the 4 IT T2 to run TauDPDMaker on input AODs to produce output DPD1 • Store output DPD1 on MI SE • Send ARana jobs via Grid to the Mi T2 or run it locally to produce output plots/numbers 2 NA- T2 MI-T2 3 1 1 WN 2 RB WN 1 RO –T2 WN 3 3 3 1 CE RB=resource broker CE=computing element SE=storage element WN=worker node SE LNF- T2 2

  14. Z   in first data Next work plan: • Checks • Redo Analysis with rel 14 data • Z  cross section measurement • single lepton trigger efficiency from Z  ll • lepton Reco/Id/Isolation efffrom Z  ll • Nobs= OS evts, Nbkg=SS evts • Acc of Analysis • from invariant mass analysis • from visible mass analysis • determine  reconstruction/Identification efficiency in-situ Present Analysis for CSC Notes: Inv mass: s=1565+/- 107 Vis mass: s=1696+/- 94 Only MC stat errors…

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