1 / 63

jet analysis

jet analysis. Dec.22/2008 ~. visible , without smear, |eta|<1, [0.1,0.1] cells, pp5500GeV. jet properties. Celljet (the Jet-Finding Method). P arameters to input are “ eTseed ”, “ coneRadius ”, “Min- eT ”. d ivide η-φ space in [0.1, 0.1] cells

ringo
Download Presentation

jet analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. jet analysis Dec.22/2008 ~

  2. visible , without smear, |eta|<1, [0.1,0.1] cells, pp5500GeV jet properties

  3. Celljet (the Jet-Finding Method) Parameters to input are “eTseed”, “coneRadius”, “Min-eT” divide η-φ space in [0.1, 0.1] cells calculate transverse energy (eTcell) in each cell select candidates of jet-seed by eTcell > ”eTseed” calculate sum of eTcell in the cone which center positioned at jet-seed (eTsum=ΣeTcell) requirement : eTsum>”Min-eT” define the survivors as found jets

  4. Distance btw primary parton and celljet center • assumption: • dr<1にprimary partonからのjetが入っている • dr<1に他のjetがない • dr<1の中でcelljet.eTが最大のjetをprimary parton起源のjetとした • celljet.coneradius = 1. • distance b/w primary parton & celljet center quark gluon photon proton proton parton found jet 80% integral(0~r) dr

  5. Distance btw celljet center and each tracks • assumption: • dr<1にprimary partonからのjetが入っている • dr<1に他のjetがない • dr<1の中でcelljet.eTが最大のjetをprimary parton起源のjetとした • celljet.coneradius = 1. • distance b/w celljet center & each tracks (eT weighted) quark gluon photon 80% integral(0~r)

  6. jet energy balance • dr(distance btw parton & celljet) • coneradius • qq/gg/γγ : jet2 energy/jet1 energy(jet2 energy<jet1 energy) • qγ/gγ : q/g jet energy/photon jet energy dr = 0.4, coneRadius=0.25 dr={0.45(quark),0.55(gluon),0.3(photon)}, coneradius=1.0 qq gg γγ qγ gγ

  7. visible/charged/neutral , with smear, |eta|<3, [0.1,0.1] cells, pp5500GeV, quark jet, dr<{0.45/0.55/0.30}, coneRadius=1.0, single jet analysis

  8. charged/neutral • MineTcharged = MineTvisible*2/3の確認 • energy fraction of each particle seed against with energy sum of generated particles MinBias pTHatMin=200GeV だいたいOK?

  9. influence by smear charged : TPC, Neutral : EMC particle energy(momentum) is smeared • assumption: • ALICE-EMC,TPC resolution • setting : • dr<0.45(quark)の中でcelljet.eTが最大のjet • dr<0.55(gluon)の中でcelljet.eTが最大のjet • dr<0.30(photon)の中でcelljet.eTが最大のjet • coneRadius=1.0 assume pion mass EMC TPC+ITS

  10. energy resolution • 見つけたcelljet-eTとjet-eT(parton-eT)の相関を作る • 直線Fitから補正係数を決定 • 見つけたcelljet-eTを補正したもの(E’)とjet-eT(parton-eT)(E)から(E’-E)/Eを計算 • resolution = (E’-E)/E分布のRMS eT-eT correlation resolution (E’-E)/E Profile

  11. jet energy resolution gluon jet resolution がquarkに比べよい? =>low-pT粒子でsmearingの桁落ち? visible resolutionがあまりによい =>計算違い? • setting: • visible : MineT = 20 GeV • charged : MineT = 20*2/3 GeV • neutral : MineT = 20*1/3 GeV • eTseed = 0.3 * MineT quark gluon photon なんだか怪しいが、計算ミスは見当たらない…

  12. parton energy resolution • setting: • visible : MineT = 20 GeV • charged : MineT = 20*2/3 GeV • neutral : MineT = 20*1/3 GeV • eTseed = 0.3 * MineT visibleで10~20%程度 ほとんどkinematicsで決まっている quark gluon photon 前pageと同じ計算なので少し自信がない…

  13. visible , |eta|<2, [0.1,0.1] cells, embedded jet : jet center eta < 1. coneradius = 1.0 quark jet (pp5500GeV からのB-to-B jet)+(HYDJET HD+J event), jet finding method

  14. parameter selection(threshold/coneRadius) • BKG subtraction • eTcell(sum of eT in cell) < threshold を集めてくる • それらのcellを使いmean-eTを求める(mean-eT) • mean-eTを中心に、v2に応じたBKGを計算(mean-eT’) • 全てのeTcellからmean-eT’を引く • pythia-celljetと同じ作業 • threshold/coneRadiusはどの程度に設定すべきか? • (Ejet’-Ejet)/Ejetの幅が最小となる値を見つけたい jet energy resolution(0.1~0.75) coneRadius(0.05~0.5) threshold[GeV](0~22)

  15. 50GeV 100GeV threshold : 15GeV coneRadius : centralityの関数 150GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  16. parameter selection(Min-eT/eTseed) • S/(S+B) ≡ Nreal/Nfound • efficiency ≡ Nreal/Nembed Nreal : 見つかったpythiaからのB-to-B jetの数 Nfound : celljetで見つけたB-to-B jetの数 Nembed : 埋め込んだB-to-B jetの数 • S/(S+B), efficiencyの値からMin-eT, eTseedの最適化 • {S/(S+B)}*{efficiency} 隣のcellまで許容 energy resolution pythia B-to-B jet : dphi-PI 1.5sigma B-to-B jet の決め方/答え合わせ方法 |dφ-π|<0.284 dr(pythia-jet/found jet) < 0.11 1.-|Efound jet/Epythia jet| < 0.45 S/(S+B)(0~1) efficiency(0~1) {S/(S+B)}*{efficiency}(0~0.9) eTseed/Min-eT(0.1~0.9) Min-eT/pTHat(0.2~1.0)

  17. 50~100GeV single quark jet {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  18. 50~100GeV BtoBquark jet {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  19. plan • gluon jet, photon jet でも同様にconeRadius等の最適化 • gamma-jetのS/(S+B),efficiencyの計算 • gamma-jetのenergy balanceの計算 • (method dependence) • jet quenchingした上で、parton energy lossの計算(再現性能)

  20. visible , |eta|<2, [0.1,0.1] cells, embedded jet : jet center eta < 1. coneradius = 1.0 gluon jet (pp5500GeV からのB-to-B jet)+(HYDJET HD+J event), jet finding method

  21. 50GeV 100GeV threshold : 15GeV coneRadius : centralityの関数 150GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  22. parameter selection(Min-eT/eTseed) • S/(S+B) ≡ Nreal/Nfound • efficiency ≡ Nreal/Nembed Nreal : 見つかったpythiaからのB-to-B jetの数 Nfound : celljetで見つけたB-to-B jetの数 Nembed : 埋め込んだB-to-B jetの数 • S/(S+B), efficiencyの値からMin-eT, eTseedの最適化 • {S/(S+B)}*{efficiency} 隣のcellまで許容 pythia B-to-B jet : dphi-PI 1.5sigma B-to-B jet の決め方/答え合わせ方法 |dφ-π|<0.409 dr(pythia-jet/found jet) < 0.11 1.-|Efound jet/Epythia jet| < 0.45 S/(S+B)(0~1) efficiency(0~1) {S/(S+B)}*{efficiency}(0~0.9) eTseed/Min-eT(0.1~0.9) Min-eT/pTHat(0.2~1.0)

  23. 50~100GeV single gluon jet {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  24. 50~100GeV BtoBgluon jet {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  25. jet(parton) energy resolution • coneRadius : function of centrality • threshold : 15GeV • Min-eT : pTHat * 0.5 • eTseed : 0.3 * Min-eT 上 : (pythia jet eT) vs (celljeteT(corrected)) 下 : (pythiapartoneT) vs (celljeteT(corrected)) central peripheral

  26. jet(parton) energy resolution jet energy resolution parton energy resolution 100GeV jet energy resolution = 25%程度(central) 100GeV parton energy resolution = 25%程度(central)

  27. S/(S+B), efficiency, eff*S/(S+B) • S/(S+B) ≡ Nreal/Nfound • efficiency ≡ Nreal/Nembed Nreal : 見つかったpythiaからのB-to-B jetの数 Nfound : celljetで見つけたB-to-B jetの数 Nembed : 埋め込んだB-to-B jetの数 • Min-eT : pTHat * 0.5 • eTseed : 0.3 * Min-eT S/(S+B) efficiency {S/(S+B)}*eff

  28. visible , |eta|<2, [0.1,0.1] cells, embedded jet : jet center eta < 1. coneradius = 1.0 photon (pp5500GeV からのB-to-B jet)+(HYDJET HD+J event), jet finding method

  29. 50GeV 100GeV threshold : 15GeV coneRadius : 0.1 150GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  30. parameter selection(Min-eT/eTseed) • S/(S+B) ≡ Nreal/Nfound • efficiency ≡ Nreal/Nembed Nreal : 見つかったpythiaからのB-to-B jetの数 Nfound : celljetで見つけたB-to-B jetの数 Nembed : 埋め込んだB-to-B jetの数 • S/(S+B), efficiencyの値からMin-eT, eTseedの最適化 • {S/(S+B)}*{efficiency} 隣のcellまで許容 pythia B-to-B jet : dphi-PI 1.5sigma B-to-B jet の決め方/答え合わせ方法 |dφ-π|<0.169 dr(pythia-jet/found jet) < 0.11 1.-|Efound jet/Epythia jet| < 0.45 S/(S+B)(0~1) efficiency(0~1) {S/(S+B)}*{efficiency}(0~0.9) eTseed/Min-eT(0.1~0.9) Min-eT/pTHat(0.2~1.0)

  31. 50~100GeV single photon {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  32. 50~100GeV BtoBphoton {S/(S+B)}*eff S/(S+B) efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  33. jet(parton) energy resolution • coneRadius : function of centrality • threshold : 15GeV • Min-eT : pTHat * 0.5 • eTseed : 0.3 * Min-eT 上 : (pythia jet eT) vs (celljeteT(corrected)) 下 : (pythiapartoneT) vs (celljeteT(corrected)) central peripheral

  34. jet(parton) energy resolution jet energy resolution parton energy resolution 100GeV jet energy resolution = 25%程度(central) 100GeV parton energy resolution = 25%程度(central)

  35. S/(S+B), efficiency, eff*S/(S+B) • S/(S+B) ≡ Nreal/Nfound • efficiency ≡ Nreal/Nembed Nreal : 見つかったpythiaからのB-to-B jetの数 Nfound : celljetで見つけたB-to-B jetの数 Nembed : 埋め込んだB-to-B jetの数 • Min-eT : pTHat * 0.5 • eTseed : 0.3 * Min-eT S/(S+B) efficiency {S/(S+B)}*eff

  36. back up slides

  37. PYTHIA jet resolutioncorrelation of jet eTcorrelation of parton/jet eT

  38. quark gluon photon jet-Not smeared visible charged neutral

  39. quark gluon photon jet-smeared visible charged neutral

  40. quark gluon photon parton-Not smeared visible charged neutral

  41. quark gluon photon parton- smeared visible charged neutral

  42. |dφ-π|<0.38dr(pythia-jet/found jet) < 0.111.-|Efound jet/Epythia jet| < 0.45

  43. 50~100GeV S/(S+B) 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  44. 50~100GeV efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  45. 50~100GeV {S/(S+B)}*eff 100~150GeV Min-eT = 0.5*pTHat eTseed = 0.3*Min-eT 実際にはひとつの値しか使えない 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  46. |dφ-π|<0.3dr(pythia-jet/found jet) < 0.111.-|Efound jet/Epythia jet| < 0.2

  47. 50~100GeV S/(S+B) 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  48. 50~100GeV efficiency 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  49. 50~100GeV {S/(S+B)}*eff 100~150GeV 150~200GeV 0-10% 10-20% 20-30% 30-40% 40-50% 50-60% 60-75%

  50. PYTHIA-jetの作り直し • cellJet configuration : R=0.7 • MineT=20GeV, eTseed=6GeV -> jet candidate • primary partonからの距離dr<0.3内で最大のeTのjet(|eta|<1)を選ぶ • BtoBの決め方 • 2つのprimary partonからのjet(jet1,jet2) • |eTjet1-eTpr1|/(eTjet1+eTpr1)<0.1 • |eTjet2-eTpr2|/(eTjet2+eTpr2)<0.1 • |veTjet1+veTjet2|/(eTjet1+eTjet2)<0.2 • celljet, primary parton, final particlesの情報を記録

More Related