Photon ID MVA inclusive shower shapeisolation MVA and

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Photon ID MVA: inclusive (shower shape+isolation) MVA and separated MVAs Guoming Chen, Jiawei Fan,

Photon ID MVA: inclusive (shower shape+isolation) MVA and separated MVAs Guoming Chen, Jiawei Fan, Yuqiao Shen, Junquan Tao, Hong Xiao IHEP Beijing O. Bondu, H. Brun, S. Gascon-Shotkin, M. Lethuillier, L. Sgandurra IPN-Lyon Nicolas Chanon ETH Zuerich 23. 04. 2012 1

Outline Ø Update of our MVA analysis in Globe J. Tao, S. Gascon-Shotkin ,

Outline Ø Update of our MVA analysis in Globe J. Tao, S. Gascon-Shotkin , H gg meeting 26 Mar 12, https: //indico. cern. ch/get. File. py/access? contrib. Id=35&session. Id=3&res. Id=1&material. Id=slides&conf. Id=183504 Debug on the limit calculation; New inclusive photon. ID mva with additional shower shape variables; Diphoton MVA with new photon. ID inputs Ø Separated Photon ID MVA: Pileup shower shape variables (SSV) mva and isolation variables mva Ø Summary 2

Repeat H→γγ MVA in globe: Limit Agreement! Repeat limit: same as Nick’s Data: still

Repeat H→γγ MVA in globe: Limit Agreement! Repeat limit: same as Nick’s Data: still Nov 30 Rereco Nick’s limit Previous limit with option: --r. Min=0. 2 --r. Max=4 How did this affect the result? From Nick, “Synchronization Report “, Hgg meeting, 20 February 2012 https: //indico. cern. ch/get. File. py/access? contrib. Id=27&session. Id=5&r es. Id=2&material. Id=slides&conf. Id=178898 3

Photon. ID MVA: preselection and samples Ø Preselection (same as MIT in Globe) cuts

Photon. ID MVA: preselection and samples Ø Preselection (same as MIT in Globe) cuts are never looser than the trigger cuts and than the MC “EM-enrichement”filter. Ø Samples Signal: prompt photon from 121 Ge. V Higgs (gluon fusion Fall 11 -PU_S 6) Background: Non prompt “photon” from double EM enriched photon jets (Fall 11 PU_S 6) ; Matching failed Ø Method: BDT with same configuration as MIT (from the default weight files) Ø PU reweighted MVA training ( without SCeta reweighting, AN 2012 -048 ) half training and half test 4

Photon. ID MVA comparisons EB CASE: 1) MIT default ( 5 shower + 5

Photon. ID MVA comparisons EB CASE: 1) MIT default ( 5 shower + 5 iso +nvtx+SCeta) 2) 8 shower shape variables (NN) Emax/ESCraw, E 2 x 2/E 5 x 5, l-/l+, CEP, Etawidth, ’Brem’, l-/CEE “AND” R 19 (instead of r 9, etawidth, phiwidth in MIT) + ���� η +H/E + 5 iso+ nvtx+ Sceta (17) EB 2): 80. 7% 1): 77. 7% (MIT) ~3% improvement (4% rel)in EB at 90% sig efficiency, compared (2) with (1) EE CASE: 1) MIT default (12) 2) 8 shower shape variables same as EB (instead of r 9, etawidth, phiwidth in MIT) + ���� η +H/E + 5 iso+ nvtx+ Sceta (17) + ESEff. Sig. RR (next slide) (18) EE 2): 76. 5% w ES 2): 75. 3 wo ES 1): 74. 7% (MIT) ~<1% /2%(ES) improvement (1%/2% rel) in EE at 90% sig efficiency, compared (2) with (1) 5

ES variables: Effective σRR Distributions From Chia-Ming Kuo, Yu-Wei Chang et al. Yu-Wei Chang

ES variables: Effective σRR Distributions From Chia-Ming Kuo, Yu-Wei Chang et al. Yu-Wei Chang , Hgg weekly meeting, Aug 8, 2011, https: //indico. cern. ch/get. File. py/access? contrib. Id=11&session. Id=6&res. Id=0&material. Id=slides&conf. Id=150032 v Based on expected ES strip (extrapolated from the position of EE super cluster) v σXX : standard deviation of the ES Rec. Hit distribution. v Eff. Shower Shape (x plane) v ES Shower Shape � For EE region with | |>1. 566 ES only with | |>1. 65 Initial value 0. 0 6

MC rescaling of ‘new’ Photon. ID MVA input variables Usual G 4 simulation problem

MC rescaling of ‘new’ Photon. ID MVA input variables Usual G 4 simulation problem with Fall 11 MC samples EE after rescaling EB after rescaling S 4 Ratio *= 1. 0055(EB)/1. 0085 (EE) Lambdaratio *= 0. 99(EB) Etawidth *= 0. 98(EB) ESEff. Sig. RR *= 1. 04(EE) H. Brun, https: //indico. cern. ch/get. File. py/access? contrib. Id=1&session. Id=4&res Id=0&material. Id=slides&conf. Id=175788 J. Fan, EGM working meeting 22 sep 11, data-MC comparisons and proposal of a possible workaround fix to sim. Prob. https: //indico. cern. ch/get. File. py/access? contrib. Id=3&res. Id=0&materi al. Id=slides&conf. Id=156142 Many with satisfactory agreement 7

Diphoton Preselection and samples Ø Diphoton Preselection cuts are never looser than the trigger

Diphoton Preselection and samples Ø Diphoton Preselection cuts are never looser than the trigger cuts and than the MC “EM-enrichement”filter. AND both Photo. ID MVA (MIT) > -0. 3 Ø Samples Signal: 123 Ge. V Higgs (gluon fusion Fall 11 -PU_S 6) Background: Fall 2011 MC backgrounds Ø Variables (10): photon ID MVA 1(2) event vertex probability Ø Method: BDTG with same configuration as MIT (from the default weight files) Ø MC signal reweighted MVA training 8

Diphoton MVA Signal: gg. H 121 Ge. V Higgs Background: MC background Keeping 90%

Diphoton MVA Signal: gg. H 121 Ge. V Higgs Background: MC background Keeping 90% signal efficiency: Black with our Photon. ID: 54. 5% Red with MIT Photon. ID: 52. 8% ~1. 7% improvement (~3. 2% relative) at 90% sig efficiency Diphoton Preselection, Pt 1>mass/3, Pt 2>mass/4, 100<mass<180 9

Diphoton MVA Data/MC MIT previous weight file (Nov 30) Red: MIT Black: Ours Data/MC

Diphoton MVA Data/MC MIT previous weight file (Nov 30) Red: MIT Black: Ours Data/MC Our new weight file Keeping the same Nevt of MC signal : Nmcsig (gg. H 125) Data MIT mva > 0. 05 42850 20413 Our mva > -0. 06 42851 20132 ( -1. 4% ) 10

Outline Ø Update of our MVA analysis in Globe Debug on the limit calculation;

Outline Ø Update of our MVA analysis in Globe Debug on the limit calculation; New inclusive photon. ID mva with additional shower shape variables; Diphoton MVA with new photon. ID inputs Ø Separated Photon ID MVA: Pileup shower shape variables (SSV) mva and isolation variables mva Ø Summary 11

Separated MVA– Shower shape variables MVA && isolation MVA : pileup Ø Shower shape

Separated MVA– Shower shape variables MVA && isolation MVA : pileup Ø Shower shape variables: little effect from pileup Data/MC Emax/Escraw in EB Same area Profile with Nvtx Ø Isolation variables: affected a lot from pileup Data/MC Rel. trk iso in EB after trigger and preselection Profile with Nvtx 12

MVA inputs Ø Shower shape variables MVA (SSV): SSV § (MIT Default SSV): ����

MVA inputs Ø Shower shape variables MVA (SSV): SSV § (MIT Default SSV): ���� η , R 9, SC η width, SC ϕ width (H/E affected by pileup) Old H/E § additional variables (NN-8): Emax/ESCraw, E 2 x 2/E 5 x 5, l-/l+, CEP, Etawidth, ’brem’, l-/CEE, R 19 § combined: η�� η , R 9 + Smaj combined NN-8 + ���� + ESEff. Sigma. RR(EE) EB-11/EE-12 variables Ø Isolation MVA (try) § EG isolation -- Absolute CIC Iso(without factor 50/PT): combined Iso (selected vertex), combined Iso (worst), track Iso (selected vertex) + PUCorr Hcal. Iso=Hcal. Iso(ΔR<0. 4)-0. 17*Rho + PUCorr Ecal. Iso=Ecal. Iso(ΔR<0. 3)-0. 17*Rho; +H/E § PF isolation: sumiso (selected vertex, ΔR<0. 3 ) , sumiso (worst, 0. 3), chargediso (pv, 0. 3), chargediso (worst, 0. 3), neutraliso (0. 3), photoniso D. Franci, S. Rahatlou, and D. del Re, CMS Note 2008/075 (2008) 13

Photon. ID: Combined SSV MVA inputs in EB (11) 14

Photon. ID: Combined SSV MVA inputs in EB (11) 14

Photon. ID: Combined SSV MVA inputs in EE (12) ES 15

Photon. ID: Combined SSV MVA inputs in EE (12) ES 15

SSV Photon. ID mva: inputs linear correlations EB EE 16

SSV Photon. ID mva: inputs linear correlations EB EE 16

Photon. ID: SSV MVA EB case: keeping 90% sig EE case: keeping 90% sig

Photon. ID: SSV MVA EB case: keeping 90% sig EE case: keeping 90% sig Combined : NN SS (8) : Default (4): Combined +ES: 69. 1% Combined (wo ES): 67. 8% +2% NN SS (8): 66. 3% (+3%rel) Default (4): 67. 1% (Sig. Ie) 73. 9% 72. 1% 69. 5% +4. 4% (+6. 3%rel) With MIT preselection 17

SSV Photon. ID: combined MVA Data/MC Leading EBEB Subleading EE EE 18

SSV Photon. ID: combined MVA Data/MC Leading EBEB Subleading EE EE 18

Photon. ID: ISO MVA EB: EG EE: PF EG PF EB case: keeping 90%

Photon. ID: ISO MVA EB: EG EE: PF EG PF EB case: keeping 90% sig EE case: keeping 90% sig PF iso : EG iso: 50. 7% 48. 7% With MIT preselection 51. 2% 50. 7% 19

Photon. ID: ISO EG MVA Data/MC Leading EB Subleading EE 20

Photon. ID: ISO EG MVA Data/MC Leading EB Subleading EE 20

SSV Photon. ID MVA: Pt, Eta and Nvtx --EB Flat EB case: much flat

SSV Photon. ID MVA: Pt, Eta and Nvtx --EB Flat EB case: much flat with pileup (Nvtx) 21

SSV Photon. ID MVA: Pt, Eta and Nvtx --EE EE case: not so much

SSV Photon. ID MVA: Pt, Eta and Nvtx --EE EE case: not so much effect from pileup 22

EG-ISO Photon. ID MVA: Pt, Eta and Nvtx --EB EB case: affect from pileup

EG-ISO Photon. ID MVA: Pt, Eta and Nvtx --EB EB case: affect from pileup 23

EG-ISO Photon. ID MVA: Pt, Eta and Nvtx --EE EE case: also affect from

EG-ISO Photon. ID MVA: Pt, Eta and Nvtx --EE EE case: also affect from pileup 24

Photon. ID MVA Summary Ø Inclusive Photon. ID MVA v ~3% (4% rel)/ 2%(2%

Photon. ID MVA Summary Ø Inclusive Photon. ID MVA v ~3% (4% rel)/ 2%(2% rel) improvement in EB/EE, when keeping 90% prompt photon signal efficiency. v ~1. 7% improvement (~3. 2% relative) at 90% sig efficiency for Diphoton MVA, using the new inclusive photon. ID instead of MIT photon. ID. v The data (Bkg) was reduced by ~1. 4% when keeping the same signal (MC) efficiency, for the final selected events. Ø Separated Photon ID MVA 1) SSV mva: § Combined variables can give ~4. 4% (6. 3%rel)/2% (3%rel) improvement in EB/EE, compared to the 4 MIT SSVs. § Less affected from pileup 2) ISO mva: § Tried sub-detector based EG iso and PF iso: almost identical results § Affected a lot from pileup 25 § PF iso: will apply the rho-correction

Backup slide 26

Backup slide 26

Inclusive Photon. ID MVA inputs correlations - EB 27

Inclusive Photon. ID MVA inputs correlations - EB 27

Preselection+MVA VS Ci. C: EB Signal: single photon from Fall 11 gg. H 121

Preselection+MVA VS Ci. C: EB Signal: single photon from Fall 11 gg. H 121 samples Background: non-prompt photon from GJet (Fall 11) Efficiency: Nphoton pass cut/Nphoton with acceptance Compare with the same selections and same signal efficiency: redo with MIT previous weight file MIT(mva Pre. Sel+M Ci. C eff. >-0. 0403) VA eff. (%) Pre. Sel+ MVA/Ci. C Ours(mva Pre. Sel+MV Ci. C eff. >-0. 0331) A eff. (%) Pre. Sel+M VA/Ci. C Sig 83. 61 ~100 Sig 83. 62 83. 61 ~100 Bkg 4. 94 5. 65 87. 4 Bkg 4. 20 5. 65 74. 4 gg. H 121 same signal efficiency 28

Preselection+MVA VS Ci. C: EE Compare with the same selections MIT(mva Pre. Sel+M Ci.

Preselection+MVA VS Ci. C: EE Compare with the same selections MIT(mva Pre. Sel+M Ci. C eff. >0. 0135) VA eff. (%) Pre. Sel+ MVA/Ci. C Ours(mva Pre. Sel+MV Ci. C eff. >0. 0078) A eff. (%) Pre. Sel+M VA/Ci. C Sig 61. 94 61. 93 ~100 Sig 61. 95 61. 93 ~100 Bkg 2. 60 3. 86 67. 3 Bkg 2. 12 3. 86 54. 9 gg. H 121 29

Compare to Mingming’s result Different selection from Mingming Yang ( Feb 9, 2012, Egamma

Compare to Mingming’s result Different selection from Mingming Yang ( Feb 9, 2012, Egamma meeting) 30

Separated Photon. ID: SSV MVA & ISO MVA TO DO LIST Ø Inputs for

Separated Photon. ID: SSV MVA & ISO MVA TO DO LIST Ø Inputs for Diphoton MVA : SSV + ISO + other variables OTHER CONSIDERATION Ø SSV mva: xstal (seed) timing Ø ISO mva: Frixione isolation Theory 31

Photon variables versus Pt, Supercluster Eta and number of vertexes in EB 32

Photon variables versus Pt, Supercluster Eta and number of vertexes in EB 32

Shower shape variables: R 9 in EB 33

Shower shape variables: R 9 in EB 33

Shower shape variables: R 19 in EB 34

Shower shape variables: R 19 in EB 34

Shower shape variables: Emax /ESCraw in EB 35

Shower shape variables: Emax /ESCraw in EB 35

Shower shape variables: S 4 ratio in EB 36

Shower shape variables: S 4 ratio in EB 36

Shower shape variables: i i in EB Trigger: 0. 014 37

Shower shape variables: i i in EB Trigger: 0. 014 37

Shower shape variables: Cep in EB 38

Shower shape variables: Cep in EB 38

Shower shape variables: φwidth in EB 39

Shower shape variables: φwidth in EB 39

Shower shape variables: width in EB 40

Shower shape variables: width in EB 40

Shower shape variables: brem in EB 41

Shower shape variables: brem in EB 41

Shower shape variables: λratio in EB 42

Shower shape variables: λratio in EB 42

Shower shape variables: λ-/Cee in EB 43

Shower shape variables: λ-/Cee in EB 43

Shower shape variables: Smaj in EB 44

Shower shape variables: Smaj in EB 44

Isolation variables: H/E in EB 45

Isolation variables: H/E in EB 45

Isolation variables: Sum/ET (pv) in EB 46

Isolation variables: Sum/ET (pv) in EB 46

Isolation variables: Sum/ET (worst) in EB 47

Isolation variables: Sum/ET (worst) in EB 47

Isolation variables: Track. PT/ET (pv) in EB Rel. trk iso in EB after trigger

Isolation variables: Track. PT/ET (pv) in EB Rel. trk iso in EB after trigger and preselection 48

Isolation variables: Track. PT (pv, 0. 3) in EB 49

Isolation variables: Track. PT (pv, 0. 3) in EB 49

Isolation variables: ECAL (0. 3) in EB 50

Isolation variables: ECAL (0. 3) in EB 50

Isolation variables: HCAL (0. 3) in EB 51

Isolation variables: HCAL (0. 3) in EB 51

Isolation variables: pf sum. ET (0. 3, pv) in EB 52

Isolation variables: pf sum. ET (0. 3, pv) in EB 52

Isolation variables: pf sum. ET (0. 3, worst) in EB 53

Isolation variables: pf sum. ET (0. 3, worst) in EB 53

Isolation variables: pf neutral (0. 3) in EB 54

Isolation variables: pf neutral (0. 3) in EB 54

Isolation variables: pf gamma (0. 02 -0. 3) in EB 55

Isolation variables: pf gamma (0. 02 -0. 3) in EB 55

Isolation variables: pf charged (0. 3, pv) in EB 56

Isolation variables: pf charged (0. 3, pv) in EB 56

Isolation variables: pf charged (0. 3, worst) in EB 57

Isolation variables: pf charged (0. 3, worst) in EB 57