Publication
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
| dc.contributor.author | CMS collaboration (2265 authors) | |
| dc.contributor.author | Nayak, Aruna | |
| dc.contributor.author | Bargassa, Pedrame | |
| dc.contributor.author | Beirão Da Cruz E Silva, Cristóvão | |
| dc.contributor.author | Di Francesco, Agostino | |
| dc.contributor.author | Faccioli, Pietro | |
| dc.contributor.author | Galinhas, Bruno | |
| dc.contributor.author | Gallinaro, Michele | |
| dc.contributor.author | Hollar, Jonathan | |
| dc.contributor.author | Leonardo, Nuno | |
| dc.contributor.author | Lloret Iglesias, Lara | |
| dc.contributor.author | Seixas, Joao | |
| dc.contributor.author | Strong, Giles | |
| dc.contributor.author | Toldaiev, Oleksii | |
| dc.contributor.author | Vadruccio, Daniele | |
| dc.contributor.author | Varela, Joao | |
| dc.contributor.author | Vischia, Pietro | |
| dc.contributor.author | David Tinoco Mendes, Andre | |
| dc.contributor.author | Silva, Pedro | |
| dc.contributor.author | Musella, Pasquale | |
| dc.date.accessioned | 2019-02-05T15:41:46Z | |
| dc.date.available | 2019-02-05T15:41:46Z | |
| dc.date.issued | 2018-05-08 | |
| dc.date.updated | 2019-02-05T15:41:46Z | |
| dc.description.abstract | Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV). | |
| dc.description.version | Peer Reviewed | |
| dc.identifier | JINST 13 (2018) P05011; DOI 10.1088/1748-0221/13/05/P05011 | |
| dc.identifier.uri | http://dx.doi.org/10.1088/1748-0221/13/05/P05011 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/27535 | |
| dc.language.iso | eng | |
| dc.relation | Advanced Multi-Variate Analysis for New Physics Searches at the LHC | |
| dc.title | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Advanced Multi-Variate Analysis for New Physics Searches at the LHC | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/675440/EU | |
| oaire.fundingStream | H2020 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt |
| rcaap.type | article | |
| relation.isProjectOfPublication | d1fe0247-7df8-4eac-ad17-2d56bfcafa24 | |
| relation.isProjectOfPublication.latestForDiscovery | d1fe0247-7df8-4eac-ad17-2d56bfcafa24 |