A search is presented for a singly produced excited bottom quark (b*) decaying to a top quark and a W boson in the all-hadronic, lepton+jets, and dilepton final states in proton-proton collisions at √{s}=8 TeV recorded by the CMS experiment at the CERN LHC. Data corresponding to an integrated luminosity of 19.7 fb-1 are used. No significant excess

A search is performed for the production of heavy resonances decaying into top-antitop quark pairs in proton-proton collisions at √{s }=8 TeV . Data used for the analyses were collected with the CMS detector and correspond to an integrated luminosity of 19.7 fb-1 . The search is performed using events with three different final states, defined by

A search for neutral Higgs bosons predicted in the minimal supersymmetric standard model (MSSM) for μ+μ- decay channels is presented. The analysis uses data collected by the CMS experiment at the LHC in proton-proton collisions at centre-of-mass energies of 7 and 8 TeV, corresponding to integrated luminosities of 5.1 and 19.3 fb-1, respectively

A search for a very light Higgs boson decaying into a pair of τ leptons is presented within the framework of the next-to-minimal supersymmetric standard model. This search is based on a data set corresponding to an integrated luminosity of 19.7 fb-1 of proton-proton collisions collected by the CMS experiment at a centre-of-mass energy of 8 TeV. The

The Baryon Oscillation Spectroscopic Survey (BOSS), part of the Sloan Digital Sky Survey (SDSS) III project, has provided the largest survey of galaxy redshifts available to date, in terms of both the number of galaxy redshifts measured by a single survey, and the effective cosmological volume covered. Key to analysing the clustering of these data

We measure the clustering of over 55,000 quasars at redshifts 2.2 z 3.4 drawn from the final sample of the Baryonic Oscillation Spectroscopic Survey (BOSS). This is by far the largest sample ever used to study quasar clustering at "intermediate" redshifts. We ameliorate the effect of observational systematics on our clustering analyses by