Update Nick Amin Nov. 14, 2019 Overview Last update These slides - PowerPoint PPT Presentation

Update Nick Amin 
 Nov. 14, 2019

Overview ⚫ Last update ⚫ These slides • L1 selection • Misc. checks of muon chi2, track isolation • Signal MC "scan" • Start looking into GP regression 2

L1 selection ⚫ Finalize L1 selection • OR of ‣ L1_DoubleMu4p5_SQ_OS_dR_Max1p2 ‣ L1_DoubleMu0er1p4_SQ_OS_dR_Max1p4 ‣ L1_DoubleMu_15_7 • Removed L1_DoubleMu_15_5_SQ because it was not part of HLT inputs, even though it was active/ unprescaled • Not updated yet (next set of babies) 3

Plot dump ⚫ http://uaf-10.t2.ucsd.edu/~namin/dump/plots/plots_split_v4/ ⚫ Plot dump of various variables split by • nothing ("splitnone_") • near or away from pixel material ("splitpixel_") • DV rho ("splitrho_") • eta of dimuon system ("spliteta_") • pT of dimuon system ("splitpt_") • mass of dimuon system ("splitmass_") • dphi(mu1,mu2) ("splitdphimumu_") ⚫ Selection • ==2 OS muons • ==1 DV • DV rho > 1cm • cos( 𝛦𝜚 (dimuon,DV))>0 • max(DV x error,DV y error)<0.05cm • DV z error<0.1cm • # valid muon hits > 0 for both muons 4

Muon chi2 ⚫ Plot muon chi2 for subleading muons for 1<m 𝜈𝜈 <4 separated into on- and o ff -j/psi • Comparing DY and j/psi so they look the same (o ff and on) ⚫ Also include signal MC, and data on-j/psi with p T , 𝜃 reweighted to MC 5

TrackIso == 1 ⚫ Track isolation computation based on the hltIter2L3MuonMergedNoVtx track collection • Calculated within a cone of 𝛦 R<0.3 for tracks within dz<0.2 and d0<0.1 • Exclude 𝛦 R<0.01 tracks • Exclude leading track if it has p T >2 GeV and 𝛦 R<0.025 ⚫ Stored ScoutingTrack collection from hltIterL3MuonAndMuonFromL1MergedNoVtx ⚫ Isolating the peak around 1, I couldn’t find a track close to the subleading muon (in 𝛦 R and p T ) in the stored collection. • However, sanity cuts on DV errors eliminate the majority of the peak at 1 max(DV x error, DV y error) DV z error 6

Signal MC ⚫ Generated 100k events for a handful of lifetimes and masses (still H(125) → Z d Z d → 2 𝜈 +2X) • E ffi ciency of gen-level fiducial denominator requirement wrt full sample is ~64% • Reco*trigger e ffi ciency below 7

GP regression ⚫ Other groups looking to use gaussian process regression fits • Non-parametric, learns distribution over space of functions rather than space of parameters ⚫ Still need to understand how (poisson) error is encoded, and certain input parameters ⚫ But, out of the box, we can get smooth fits when blanking out resonances in order to subtract out background ⚫ Left • In data, fit invariant mass distributions around J/psi in bins of DV 𝜍 ⚫ Right • Plot background-subtracted J/psi yields as a function of displacement • Overlay yields from a JpsiToMuMu MC sample (note, scouting collections are included up to AODSIM) • Seems like prompt Jpsi MC 8

Backup 9

L1 in full 2018 ⚫ Repeat L1 checks from previous set of slides, but fired unprescaled with full 2018 data (4B events) instead of just L1_DoubleMu0 0 0 L1_DoubleMu0_Mass_Min1 0 0 50M events in 2018C L1_DoubleMu0_OQ 0 0 • The seeds I’ve been using since last time L1_DoubleMu0_SQ_OS 0 0 L1_DoubleMu0er1p5_SQ 0 0 (DoubleMu4p5_SQ_OS_dR_Max1p2 || L1_DoubleMu0er2p0_SQ_OS_dR_Max1p4 0 0 DoubleMu_15_5_SQ || DoubleMu_15_7) L1_DoubleMu0er2p0_SQ_dR_Max1p4 0 0 L1_DoubleMu_12_5 0 0 are still in the unprescaled=1 set. Good. L1_DoubleMu_15_7_Mass_Min1 0 0 ⚫ EXO-19-018 AN has L1_ZeroBias 6.2417E-05 0 L1_DoubleMu0er1p5_SQ_OS 0.00138888 0 L1_DoubleMu4_SQ_OS 0.001443 0 In 2018, the DST path collected the total integrated luminosity of 61.3 fb − 1 . The L1 seeds L1_DoubleMu0_SQ 0.002448 0 L1 DoubleMu 12 5, L1 DoubleMu 12 8, L1 DoubleMu 13 6, L1 DoubleMu 15 5 were inactive L1_DoubleMu4p5_SQ_OS 0.00408753 0 and only L1 DoubleMu 15 7 was present. The following never pre-scaled and never disabled L1 seeds are considered only: L1_DoubleMu4p5er2p0_SQ_OS 0.0107283 0 • L1 DoubleMu4p5 SQ OS dR Max1p2 OR L1_DoubleMu0er1p5_SQ_dR_Max1p4 0.0689305 0.155734 • L1 DoubleMu4p5er2p0 SQ OS Mass7to18 OR L1_DoubleMu10_SQ 0.0295695 0.29647 • L1 DoubleMu 15 7 L1_DoubleMu4_SQ_OS_dR_Max1p2 0.471659 0.732179 L1_DoubleMu9_SQ 0.110944 0.919628 L1_DoubleMu_15_7_SQ 0.117701 0.919628 ⚫ I don’t understand the claim about L1_DoubleMu0er1p5_SQ_OS_dR_Max1p4 0.395483 0.999874 L1_DoubleMu18er2p1 0.0187654 1 DoubleMu_15_5 being inactive, since I see it L1_DoubleMu_15_7 0.132635 1 was firing and unprescaled for the whole dataset L1_DoubleMu_15_5_SQ 0.168136 1 L1_DoubleMu4p5er2p0_SQ_OS_Mass7to18 0.176602 1 L1_DoubleMu0er1p4_SQ_OS_dR_Max1p4 0.327869 1 L1_DoubleMu4p5_SQ_OS_dR_Max1p2 0.550969 1 10

Pixel volumes ⚫ Consider only events with a displacement >1cm ⚫ Separate into "near" and "away" based on simple rectangular rho-z regions to cut out pixel layers 11

Pixel hits before vertex ⚫ Try to look for pixel hits between the beamspot and the DV ⚫ No hitpatterns, so start with a simple case looking at the displacement and nValidPixelHits for nearly transverse muons in the barrel • Plot distribution of valid pixel hits for leading muon with DV rho within one of 3 bins between the first 3 layers • Leading muon | 𝜃 |<0.5, DV |z| < 20cm, cos( 𝜚 )>0.95 ⚫ MC peaks where we expect ⚫ Removing low p T muons cleans up data a little bit # valid pixel hits MC 8-10cm 4-6cm 1-2cm data data p T >25GeV overlaps? 12

L1 triggers (MC e ffi ciency) ⚫ Sample • MC with c 𝜐 =50mm and m Zd =20GeV • Gen-level denominator requirements: ≥ 2 muons with p T >4GeV, | 𝜃 |<2.4, vertex displacement 𝜍 <11cm ⚫ For the L1 seeds marked in blue on the previous slide, calculate the e ffi ciency of each seed wrt the denominator above • For the 3 seeds with 𝜃 requirements, also add a column with | 𝜃 |<1.4/1.5/2.1 in the denominator instead ⚫ Best combination of 4 L1s is (DoubleMu0er1p5_SQ_OS_dR_Max1p4 || DoubleMu9_SQ || DoubleMu_15_5_SQ || DoubleMu_15_7) which gives an e ffi ciency of 88.7% • If we remove DoubleMu9 and DoubleMu10, then we get (DoubleMu0er1p5_SQ_OS_dR_Max1p4 || DoubleMu0_15_5_SQ || DoubleMu0_15_7) and an e ffi ciency of 87.6% • If we also remove eta-restricted seeds, then we get (DoubleMu4p5_SQ_OS_dR_Max1p2 || DoubleMu_15_5_SQ || DoubleMu_15_7) and an e ffi ciency of 86.7% e ff e ff w/ | 𝜃 | DoubleMu18 er2p1 0.342 0.378 DoubleMu0 er1p4 _SQ_OS_dR_Max1p4 0.463 0.753 DoubleMu0 er1p5 _SQ_OS_dR_Max1p4 0.497 0.751 "SQ" uses tighter DoubleMu4p5_SQ_OS_dR_Max1p2 0.621 quality requirements from SingleMuon seeds DoubleMu10_SQ 0.647 (L1 details here and DoubleMu9_SQ 0.682 here) DoubleMu_15_7_SQ 0.762 DoubleMu_15_7 0.782 DoubleMu_15_5_SQ 0.842 13

Gen cutflows ⚫ MC sample • H(125) → ZdZd → 2 𝜈 +2X • c 𝜐 =50mm and m Zd =20GeV • SM Z BRs — 98.2% (1.8%) of events are 2 𝜈 (4 𝜈 ) ⚫ At least 2 gen muons must pass each cut yield fraction wrt N-1 cut inclusive cumulative yield fraction wrt all 1.00 cut inclusive p T >4GeV 0.81 𝜍 <11cm 0.61 p T >5GeV 0.76 p T >4GeV 0.49 | 𝜃 |<2.1 0.70 | 𝜃 |<2.4 0.38 | 𝜃 |<2.4 0.77 𝜍 <11cm 0.61 14

Track isolation vs displacement 15