1 / 7

Jet Reco

Jet Reco. Andy Yen. Intro. Superstrings can lead to the following non-SM process: gg→gγ Extra contribution to the SM gamma+jet. 2. Data Samples. Photon + Jet Ckin(3) > 170 GeV Summer08 Official Production, CMSSW 2.2.x Private Production, CMSSW 3.2.1 On Gen Level, the samples agree

leora
Download Presentation

Jet Reco

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 Reco Andy Yen

  2. Intro • Superstrings can lead to the following non-SM process: gg→gγ • Extra contribution to the SM gamma+jet. 2

  3. Data Samples • Photon + Jet • Ckin(3) > 170 GeV • Summer08 Official Production, CMSSW 2.2.x • Private Production, CMSSW 3.2.1 • On Gen Level, the samples agree • Photon Pt ~200 GeV • Jet Pt ~ 200 GeV • Jets Objects used • iterativeCone5CaloJet • sisCone5PFJet 3

  4. Jet Algorithms • iterativeCone algorithm • Colinear unsafe • Infrared unsafe • sisCone algorithm • “seedless infrared safe cone” • Particle Flow • Reconstruct ALL particles in event • Uses all CMS subdetectors • Performance similar to JPT energy corrections. 4

  5. Efficiencies • In detector: photon+jet eta <2.5 • Highest Pt Jet and Photon Candidate in event selected. • MC jet taken to be outgoing quark or gluon • Efficiencies calculated by matching Jet/Photon Candidate with MC Jet/Photon • Photon matching req: dR<0.15 • Jet matching req: dR<0.5 5

  6. Jet Energy Response • CMSSW 3.2.1 • IterativeCone5CaloJets vs sisCone5PFJets • Crystal Ball Fit with 2 polynomial tails Mean: 0.77 Sigma: .123 Mean: 0.94 Sigma: .082 6

  7. Jet Response (continued) • iterativeCone5CaloJets • CMSSW 2.2.x vs 3.2.1 • Arbitrary normalization Mean: 0.79 Sigma: .106 Mean: 0.77 Sigma: .123 7

More Related