2023:groups:smjets:flavoured-jets:start
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2023:groups:smjets:flavoured-jets:start [2023/06/15 14:10] emanuele.re_user |
2023:groups:smjets:flavoured-jets:start [2023/06/18 10:54] (current) simone.caletti [Parameters of the algorithms] |
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| ====== Setup ====== | ====== Setup ====== | ||
| * LHC @ 13 TeV | * LHC @ 13 TeV | ||
| - | * PDF set: PDF4LHC21 | + | * PDF set: PDF4LHC21_40 |
| * [[https://github.com/jetflav|flavoured jet fastjet repos]] (all 4 algorithms will be provided here) | * [[https://github.com/jetflav|flavoured jet fastjet repos]] (all 4 algorithms will be provided here) | ||
| + | * Rivet analysis: [[https://github.com/DReichelt/LH23FlavAlgs]] | ||
| ===== Input Parameters ===== | ===== Input Parameters ===== | ||
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| * pT(Z) > 20 GeV (for generation cuts of event sample, to be jet-algo agnostic) | * pT(Z) > 20 GeV (for generation cuts of event sample, to be jet-algo agnostic) | ||
| * central scale choice E_T(Z) = sqrt(m(mu+mu-)^2 + pT(mu+mu-)^2) | * central scale choice E_T(Z) = sqrt(m(mu+mu-)^2 + pT(mu+mu-)^2) | ||
| + | * mu+ & mu- with pT(mu) > 20 GeV, |y(mu)| < 2.4 and 71 GeV < m(mu+mu-) < 111 GeV | ||
| ==== Fiducial cuts, observables & binning ==== | ==== Fiducial cuts, observables & binning ==== | ||
| We will adapt the same analysis (selection cuts + histogram binning) as in the 8 TeV CMS measurement [[https://www.hepdata.net/record/ins1499471|HEPData]], [[https://rivet.hepforge.org/analyses/CMS_2017_I1499471|Rivet]]. | We will adapt the same analysis (selection cuts + histogram binning) as in the 8 TeV CMS measurement [[https://www.hepdata.net/record/ins1499471|HEPData]], [[https://rivet.hepforge.org/analyses/CMS_2017_I1499471|Rivet]]. | ||
| Note the additional "generation cut" ptz > 20 GeV and that we'll perform our study at 13 TeV. | Note the additional "generation cut" ptz > 20 GeV and that we'll perform our study at 13 TeV. | ||
| - | |||
| ===== WH (H->bb) study ===== | ===== WH (H->bb) study ===== | ||
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| Idea: study how large the log(mb) are in different kinematic regimes and how differences in flavour tagging impact observables. | Idea: study how large the log(mb) are in different kinematic regimes and how differences in flavour tagging impact observables. | ||
| + | ===== Parameters of the algorithms ===== | ||
| + | * IFN with alpha = 2 (-> omega = 1) | ||
| + | * GHS alpha = 1.0; beta = 1.0; zcut = 0.1; Rcut = 0.1; omega = 2.0; | ||
| + | * SDFlav with zcut = 0.1; beta = 1; | ||
| + | * CMP_Omega with a = 0.1 | ||
2023/groups/smjets/flavoured-jets/start.1686831012.txt.gz · Last modified: 2023/06/15 14:10 by emanuele.re_user
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