Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at s =13 TeV
A search for supersymmetry is performed in events with a single electron or muon in proton-proton collisions at a center-of-mass energy of 13 TeV. The data were recorded by the CMS experiment at the LHC and correspond to an integrated luminosity of 2.3 fb−1. Several exclusive search regions are de...
Saved in:
Main Authors: | Khachatryan, Vardan, Sirunyan, A. M., Tumasyan, A. R., Adam, Wolfgang, Asilar, Ece, Md. Ali, Mohd. Adli |
---|---|
Format: | Article |
Language: | English English English |
Published: |
American Physical Society
2017
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/63122/1/63122_Search%20for%20supersymmetry%20in%20events%20with%20o_article.pdf http://irep.iium.edu.my/63122/2/63122_Search%20for%20supersymmetry%20in%20events%20with%20o_scopus.pdf http://irep.iium.edu.my/63122/13/63122_Search%20for%20supersymmetry%20in%20events_wos.pdf http://irep.iium.edu.my/63122/ https://journals.aps.org/prd/pdf/10.1103/PhysRevD.95.012011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Search for supersymmetry in events with one lepton and multiple jets exploiting the angular correlation between the lepton and the missing transverse momentum in proton–proton collisions at s=13TeV
by: Sirunyan, A. M., et al.
Published: (2018) -
Search for supersymmetry in events with a τ lepton pair and missing transverse momentum in proton-proton collisions at √s=13 TeV
by: Sirunyan, A. M., et al.
Published: (2018) -
Search for supersymmetry in events with a photon, a
lepton, and missing transverse momentum in proton-proton collisions at √s = 13 TeV
by: Sirunyan, A. M., et al.
Published: (2019) -
Search for t t ¯ resonances in highly boosted lepton+jets and fully hadronic final states in proton-proton collisions at √s=13 TeV
by: Khachatryan, Vardan, et al.
Published: (2017) -
Search for R -parity violating supersymmetry with displaced vertices in proton-proton collisions at s =8 TeV
by: Khachatryan, Vardan, et al.
Published: (2017)