HLTplotsFirst2017DataB2G < CMSPublic

CMSPublic Web>PhysicsResults>HighLevelTriggerRunIIResults>HLTplotsFirst2017DataB2G (2017-10-20, ElisabettaGallo)

MET Triggers in 2017 data (DP-2017/045)

Efficiency plots for Single Muon dataset versus Etmiss (no muon) Figure: Trigger efficiencies for HLT_PFMETNoMu120_PFMHTNoMu120_IDTight trigger path, as a function of the offline EmissT (no μ) variable, calculated in 2017 data (run number >= 299504). ETmiss (no μ) (at HLT/offline) is defined as the magnitude of the missing transverse momentum, reconstructed with the Particle Flow algorithm (at HLT/offline), removing the muon candidates from the vector sum. The missing hadronic activity HTmiss (no μ) is defined as the magnitude of the vector sum of the transverse momenta of the jets, reconstructed with the Particle Flow algorithm (at HLT level/offline), once the muon candidates have been removed.[Get pdf version] Contact: Lisa Benato

Efficiency plots for Single Muon dataset versus Etmiss (no muon)
Figure: Trigger efficiencies for HLT_PFMETNoMu120_PFMHTNoMu120_IDTight trigger path, as a function of the offline EmissT (no μ) variable, calculated in 2017 data (run number >= 299504). ETmiss (no μ) (at HLT/offline) is defined as the magnitude of the missing transverse momentum, reconstructed with the Particle Flow algorithm (at HLT/offline), removing the muon candidates from the vector sum. The missing hadronic activity HTmiss (no μ) is defined as the magnitude of the vector sum of the transverse momenta of the jets, reconstructed with the Particle Flow algorithm (at HLT level/offline), once the muon candidates have been removed.[Get pdf version]
Contact: Lisa Benato

Efficiency plots for Single Muon dataset versus number of vertices Trigger efficiencies for HLT_PFMETNoMu120_PFMHTNoMu120_IDTight trigger path, as a function of the number of primary vertices reconstructed offline, calculated in 2017 data (run number >= 299504). ETmiss (no μ) (at HLT level/offline) is defined as the magnitude of the missing transverse momentum, reconstructed with the Particle Flow algorithm (at HLT/offline), removing the muon candidates from the vector sum. The missing hadronic activity HTmiss (no μ) is defined as the magnitude of the vector sum of the transverse momenta of the jets, reconstructed with the Particle Flow algorithm (at HLT level/offline), once the muon candidates have been removed. Different offline thresholds of ETmiss (no μ) are applied: 200 GeV (green); 250 GeV (orange); 300 GeV (light blue). A pile-up dependent inefficiency can be observed when the looser selection (green) is applied. [Get pdf version] Contact: Lisa Benato

Efficiency plots for Single Muon dataset versus number of vertices
Trigger efficiencies for HLT_PFMETNoMu120_PFMHTNoMu120_IDTight trigger path, as a function of the number of primary vertices reconstructed offline, calculated in 2017 data (run number >= 299504). ETmiss (no μ) (at HLT level/offline) is defined as the magnitude of the missing transverse momentum, reconstructed with the Particle Flow algorithm (at HLT/offline), removing the muon candidates from the vector sum. The missing hadronic activity HTmiss (no μ) is defined as the magnitude of the vector sum of the transverse momenta of the jets, reconstructed with the Particle Flow algorithm (at HLT level/offline), once the muon candidates have been removed. Different offline thresholds of ETmiss (no μ) are applied: 200 GeV (green); 250 GeV (orange); 300 GeV (light blue). A pile-up dependent inefficiency can be observed when the looser selection (green) is applied. [Get pdf version]
Contact: Lisa Benato

-- ElisabettaGallo - 2017-10-19

Attachments

Topic attachments
I	Attachment	History	Action	Size	Date	Who
pdf	PFMETNoMu120_TurnOn_vs_met_no_mu.pdf	r1	manage	14.8 K	2017-10-19 - 22:32	ElisabettaGallo
png	PFMETNoMu120_TurnOn_vs_met_no_mu.png	r1	manage	19.8 K	2017-10-19 - 22:32	ElisabettaGallo
pdf	PFMETNoMu120_TurnOn_vs_pileup.pdf	r1	manage	15.0 K	2017-10-19 - 22:32	ElisabettaGallo
png	PFMETNoMu120_TurnOn_vs_pileup.png	r1	manage	27.5 K	2017-10-19 - 22:32	ElisabettaGallo

Topic revision: r2 - 2017-10-20 - ElisabettaGallo

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