| Version 34 (modified by , 7 years ago) ( diff ) |
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The first MadAnalysis 5 workshop on LHC recasting @ Korea
Analysis 5: CMS-EXO16-052
| Students | Jeon Dajeong (djeon@…) , Kim Seulgi (pikachu602@…), Lee Sang Man(daniel.s.lee4@…), Watson Ian James (ian.james.watson@…) |
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| Supervisor(s) | Sam Bein, Jory Sonneveld |
1. Analysis summary
2l+MET
2. Analysis global information
- CMS contact person: Nicholas Charles Smith
- Center of mass energy: 13 TeV
- Integrated luminosity: 35.9 fb−1
- Link to arXiv: none
- Link to the collaboration page: http://cms-results.web.cern.ch/cms-results/public-results/preliminary-results/EXO-16-052/
- Link to CDS: http://cds.cern.ch/record/2264690?ln=en
- Link to Inspire: http://inspirehep.net/record/1599663
- Other useful links...
https://github.com/cms-sw/genproductions/tree/master/python/ThirteenTeV
3. Selection description
3.1 Trigger selection
PS: This part cannot usually be described by the fast-simulation of detector.
3.2 Object definition
Electrons
- pT > 20 GeV, |eta| < 2.4
- Medium ID
- PFiso04 < 0.077 (barrel electrons) or PFiso04 < 0.068) (endcap electrons)
Muons
- pT > 20 GeV, |eta| < 2.4
- Loose ID
- PFiso04 < 0.15
Jets
- pT > 20 GeV, |eta| < 5 (PFloose ID)
- Identified leptons in {delta}R < 0.4 disregarded
- We categorize the selected events based on the number of selected jets with pT > 30 GeV for the corresponding requirements
b-jets
- pT > 20 GeV, |eta| < 2.4
- CSVv2>0.8484 (medium)
Taus
- pT > 18 GeV, |eta| < 2.3
- DecayModeFinding ?
- Loose isolation < 5 GeV
MET
- Type-1 corrections are applied ?
3.3 Cut-flow chart
Event Selection:
- Two same flavored lepton with opposite electric charge ( that pass lepton selection?)
- el[0] pt > 25 and el[1] pt >20
- mu[0] pt > 20 and mu[1] pt > 20
- |dilep m - 91.1876( +- 0.0021)| < 15
- dilep pt > 60
- events having more than one jet with pT > 30 GeV - remove
- b-tagged jet Veto : at least one bjet pt > 20, |eta| < 2.4, CSVv2 < 0.8484 - remove
- if el[2 onwards] pt > 10 -remove
- if mu[2 onwards] pt > 5 -remove
- tau veto: loose id, tau pt > 18. (hadronically decaying tau leptons)
Optimization:
- For each possible set of selections the full analysis, including the estimation of backgrounds from control samples in data and the systematic uncertainties, is repeated.
After optimization:
- MET > 100
- Delta phi ( dilep.pt , ptmiss) > 2.6 rad
- |MET - dilep.pt| / dilep.pt < 0.4
If event has one jet:
- Delta phi (jet.pt , ptmiss ) > 0.5
- Delta R(ll) < 1.8
3.4 Definition of exotic observables
Like SUSY transverse observable. Notice that classical MT2 & MT2W are encoded within the MadAnalysis framework.
3. Detector simulation
Can we use the last release of the Delphes package with the CMS/ATLAS MA5tune-card? or do need to improve the simulation?
4. Validation material
4.1 Monte-Carlo samples
- LO/NLO? LO
- Model used:
1) dark matter production in a simplified model with a spin-1 mediator A
2) dark matter production in a simplified model with a spin-0 mediator phi
- MC generator program (name + version): MAD-GRAPH5_aMC@NLO 2.2.2
- Shower program (name + version): PYTHIA 8.205
- Tune of Pythia: CUETP8M1
+ The coupling g(kai) is set to one.
For 0.25 < g(q) < 1.0,
the width ranges 1-5% of the mediator mass for g(q) = 0.25,
30-50% of the mediator mass for g(q) = 1.00
Events for ADD extra-dimension scenario
LO, EFT implementaion in PYTHIA 8
M(D) = 1, 2 and 3 TeV, each with n = 2, 3, 4, 5, 6, 7
The events for the unparticle model
LO, PYTHIA 8, tune CUETP8M1
assuming cutoff scale ㅅ(U) =15TeV
ZH & gluon-gluon fusion = WZ & ZZ processes
4.1.1 Running Madgraph
import DMsimp_s_spin0 generate p p > xd xd~ z [QCD] add process p p > xd xd~ z j [QCD] output DM_spin0_noreallythistime launch
Turn on madspin and the showering. Then fix:
madspin_card.dat -> set "z > l+ l-"
run_card.dat -> can set number of events, but also change shower to PYTHIA8, ickkw to 3 (FxFx merging)
shower_card.dat -> Qcut to 15 (50?) and njmax to 1 (since were generating 0 + 1 extra partons)
param_card.dat -> set the masses of Y0 (or Y1 for spin 1), the mediator, and Xd, the dark matter particle (the paper uses MY0=500, MXD=150GeV)
we will also have to set the pythia settings to match those of CMS (UE tune, etc.).
