Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

CMS Collaboration

Research output: Contribution to journal › Article › Research › peer-review

Access to Document

@article{55fdb6f8dbdd4066ad83275607bb880b,

title = "Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network",

author = "J Nash and \{CMS Collaboration\}",

year = "2013",

doi = "10.1103/PhysRevD.87.072001",

language = "English",

volume = "87",

journal = "Physical Review D",

issn = "2470-0010",

publisher = "American Physical Society",

number = "7",

}

TY - JOUR

T1 - Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

AU - Nash, J

AU - CMS Collaboration

PY - 2013

Y1 - 2013

UR - https://www.scopus.com/pages/publications/84876194276

U2 - 10.1103/PhysRevD.87.072001

DO - 10.1103/PhysRevD.87.072001

M3 - Article

SN - 2470-0010

VL - 87

JO - Physical Review D

JF - Physical Review D

IS - 7

M1 - 072001

ER -