--
KrystsinaPetukhova - 2020-07-12
Validation of excited tau-lepton signal samples
This page describes basic steps made towards production of the Monte Carlo (MC) samples for excited tau-lepton signal. This analysis searches for excited tau-leptons in proton-proton collisions at a center-of-mass energy of 13
TeV.
Benchmark model
The excited lepton production by contact interaction described by four-fermion Lagrangian as introduced by U. Baur, M. Spira, and P. M. Zerwas (Phys.Rev. D42(1990) 815,
Excited-quark and -lepton production at hadron colliders
).
MC Generator
The MC generator of use is Pythia 8 with the version 8.243p and
EvtGen (v.1.7.0) using the
NNPDF23LO PDF set and the A14 underlying event tune. This Pythia 8 version includes correct mass suppression for excited fermion three-body decays
F* -> F Fbar f, primarily for excited lepton decays with top-quarks in the final state (
F = t).
Excited tau-lepton production
The single production of excited tau-leptons via four-fermion contact interaction (CI) is considered.
Strength of the SU(2), U(1) coupling, and SU(3) couplings are supposed to be unity (1.).
Excited tau-lepton decay
Generated excited tau-leptons decay via CI to a SM tau-lepton and a quark-antiquark pair.
Exclusive mode "tau* -> tau + b + bbar" might be added to the analysis later on.
Mass range and scan points
For the compositeness scale Lambda = 5
TeV, excited tau-lepton mass was assumed to lay in the range [250, 5000]
GeV with a step 250
GeV.
For the compositeness scale Lambda = 7
TeV, excited tau-lepton mass was assumed to be one of the following values {1000, 3000, 5000, 5500, 6000, 6500, 7000}
GeV.
Additionally, samples at m_tau* = Lambda for {1000, 2000, 3000, 4000}
GeV were produced.
Cross section, BR, effective luminosity


Athena commands
EVNT containers were produced with Athena branch 21.6 intended purposefully for event generation:
asetup AthGeneration, 21.6.12,here
An example if the command is given below:
Generate_tf.py --ecmEnergy=13000 --maxEvents=200000 --firstEvent=1 --randomSeed=0897557 --localPath=/afs/cern.ch/work/k/kpetukho/ExcTau/Generators/MC15JobOptions --jobConfig=421111/mc.Py8_A14_NNPDF23LO_excited_tau_CI_mtau_250_lam5000.py --runNumber=08973427 --outputEVNTFile=
C
I_tau_250_5000_200000evt.pool.root >
log_CI_1000_5000_50000evt.generate
EVNT files were converted into xAOD for an analysis at truth level with Athena release 21.2:
asetup 21.2.86.0,AthDerivation
To check performance limitations, several samples are going to be checked at RECO level (
ATLFastIISimulation and AOD derivation is being performed).
An example of the command is given below:
Reco_tf.py --inputEVNTFile evnt.pool.root --outputDAODFile test.pool.root --reductionConf TRUTH3
Spreadsheet
MC production spreadsheet can be found at
Google Docs
.
Plots with kinematic distributions
DSIS to be set after MC request approval.
DSID |
m_tau* [GeV] |
Lambda [TeV] |
N_events |
BR |
Cross section [pb] |
Luminosity [inv. fb] |
Job option |
Supporting plots |
|
250 |
5000 |
200,000 |
0.0193439 |
1.85E-02 |
1.081081E+04 |
JO example on gitlab |
Validation plots |
|
500 |
5000 |
200,000 |
0.066282 |
3.955E-02 |
5.05689E+03 |
JO example on gitlab |
Validation plots |
|
750 |
5000 |
200,000 |
0.1378238 |
5.271E-02 |
5.352685E+02 |
JO example on gitlab |
|
|
1000 |
5000 |
50,000 |
0.217389 |
5.441E-02 |
9.189487E+02 |
JO example on gitlab |
Validation plots |
|
1250 |
5000 |
50,000 |
0.2930013 |
4.812E-02 |
5.305278E+02 |
JO example on gitlab |
|
|
1500 |
5000 |
50,000 |
0.3594063 |
3.969E-02 |
6.452255E+02 |
JO example on gitlab |
|
|
1750 |
5000 |
50,000 |
0.4153779 |
3.033E-02 |
1.648532E+03 |
JO example on gitlab |
|
|
2000 |
5000 |
50,000 |
0.4616152 |
2.26E-02 |
1.739071E+03 |
JO example on gitlab |
Validation plots |
|
2250 |
5000 |
50,000 |
0.4995065 |
1.633E-02 |
1.575628E+03 |
JO example on gitlab |
|
|
2500 |
5000 |
50,000 |
0.5305279 |
1.151E-02 |
2.164466E+03 |
JO example on gitlab |
|
|
2750 |
5000 |
50,000 |
0.5560033 |
8.027E-03 |
3.431793E+03 |
JO example on gitlab |
|
|
3000 |
5000 |
50,000 |
0.5770356 |
5.58E-03 |
6.079032E+03 |
JO example on gitlab |
|
|
3250 |
5000 |
50,000 |
0.5945127 |
3.821E-03 |
1.12324E+04 |
JO example on gitlab |
|
|
3500 |
5000 |
50,000 |
0.6091368 |
2.609E-03 |
1.277041E+04 |
JO example on gitlab |
|
|
3750 |
5000 |
50,000 |
0.6214611 |
1.765E-03 |
1.925836E+04 |
JO example on gitlab |
|
|
4000 |
5000 |
50,000 |
0.6319198 |
1.214E-03 |
4.119944E+04 |
JO example on gitlab |
Validation plots |
|
4250 |
5000 |
50,000 |
0.6408556 |
8.348E-04 |
6.008717E+04 |
JO example on gitlab |
|
|
4500 |
5000 |
50,000 |
0.6485395 |
5.89E-04 |
8.62735E+04 |
JO example on gitlab |
Validation plots |
|
4750 |
5000 |
50,000 |
0.6551873 |
4.214E-04 |
1.242164E+05 |
JO example on gitlab |
|
|
5000 |
5000 |
50,000 |
0.6609715 |
3.12E-04 |
1.76481E+05 |
JO example on gitlab |
|
|
1000 |
7000 |
50,000 |
0.1305925 |
8.523E-03 |
5.866479E+03 |
JO example on gitlab |
Validation plots |
|
3000 |
7000 |
50,000 |
0.4854073 |
1.218E-03 |
4.10509E+04 |
JO example on gitlab |
|
|
5000 |
7000 |
50,000 |
0.6131864 |
5.765E-05 |
8.7063E+05 |
JO example on gitlab |
|
|
5500 |
7000 |
50,000 |
0.6293402 |
2.869E-05 |
1.83739E+06 |
JO example on gitlab |
|
|
6000 |
7000 |
50,000 |
0.6422108 |
1.619E-05 |
3.436359E+06 |
JO example on gitlab |
|
|
6500 |
7000 |
50,000 |
0.6526012 |
1.059E-05 |
6.129468E+06 |
JO example on gitlab |
|
|
7000 |
7000 |
50,000 |
0.6610913 |
8.041E-06 |
1.148319E+07 |
JO example on gitlab |
|
|
1000 |
1000 |
50,000 |
0.6482211 |
9.622E+01 |
5.196425E-01 |
JO example on gitlab |
|
|
2000 |
2000 |
50,000 |
0.6581329 |
1.194E+00 |
4.187605E+01 |
JO example on gitlab |
|
|
3000 |
3000 |
50,000 |
0.6601056 |
4.922E-02 |
1.015988E+03 |
JO example on gitlab |
|
|
4000 |
4000 |
50,000 |
0.660733 |
3.343E-03 |
1.512976E+04 |
JO example on gitlab |
|
Analysis milestones
The kick-off meeting 06.07.2020
Weekly meeting of the Exotics: Lepton + X subgroup