Search for new physics in final states with two opposite-sign, same-flavor leptons, jets, and missing transverse momentum in pp collisions at $$ \sqrt{s}=13 $$ TeV
A search is presented for physics beyond the standard model in final states with two opposite-sign, same-flavor leptons, jets, and missing transverse momentum. The data sample corresponds to an integrated luminosity of 2.3 inverse femtobarns of proton-proton collisions at sqrt(s) = 13 TeV collected with the CMS detector at the LHC in 2015. The analysis uses the invariant mass of the lepton pair, searching for a kinematic edge or a resonant-like excess compatible with the Z boson mass. Both search modes use several event categories in order to increase the sensitivity to new physics. These categories are based on the rapidity of the leptons, the multiplicity of jets and b jets, the scalar sum of jet transverse momenta, and missing transverse momentum. The observations in all signal regions are consistent with the expectations from the standard model, and the results are interpreted in the context of simplified models of supersymmetry.
- Research Organization:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of California, Santa Barbara, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Contributing Organization:
- The CMS Collaboration; The CMS collaboration
- Grant/Contract Number:
- AC02-07CH11359; SC0011702
- OSTI ID:
- 1294443
- Alternate ID(s):
- OSTI ID: 1605157
- Report Number(s):
- FERMILAB-PUB-16-252-CMS; CMS-SUS-15-011; CERN-EP-2016-132; arXiv:1607.00915; 1473675
- Journal Information:
- Journal of High Energy Physics (Online), Vol. 2016, Issue 12; ISSN 1029-8479
- Publisher:
- Springer BerlinCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
SCYNet: Testing supersymmetric models at the LHC with neural networks
|
text | January 2017 |
SCYNet: testing supersymmetric models at the LHC with neural networks
|
journal | October 2017 |
Similar Records
Search for physics beyond the standard model in events with two leptons of same sign, missing transverse momentum, and jets in proton–proton collisions at $$\sqrt{s} = 13\,\text {TeV} $$
Search for supersymmetry in final states with two oppositely charged same-flavor leptons and missing transverse momentum in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV